MyTopMatch
Knowledge Catalog

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

• Overview: A job at Procter & Gamble can mean a laboratory assignment, a production shift, a consumer-facing business role or work on the systems that coordinate a large enterprise. Those settings present different demands. Public evidence about one cannot establish what someone will experience in another. The useful question is what the specific position would require and make possible. [C022, C037–C038; S020, S022, S024–S025, S028]

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

• Overview: A remote job can still involve almost continuous client travel.
• Find the business and the work behind the requisition: The public parent is Accenture plc, headquartered in Dublin. The group includes U.S. entities and businesses whose employment arrangements should not be merged. Accenture Federal Services is described in a signed public agreement as an independently operated subsidiary of Accenture LLP. Avanade has distinct leadership, and the sample also includes a Droga5 role within Accenture Song. [C001-C002, C034; S001, S006, S011, S025, S102]
• Growth and restructuring can happen together: Accenture's latest available audited year, fiscal 2025, produced $69.673 billion in revenue and $11.474 billion in operating cash flow, rounded to three decimals. The latest nine-month filing shows revenue of $55.504 billion and operating cash flow of $9.268 billion. Annual and interim periods need separate treatment. Fiscal 2026 ended in August, but full-year results are scheduled for October 1. [C003-C006; S001-S005]
• Get the real working week: The remote examples are only part of the scheduling picture.
• Read pay as a set of separate commitments: The sampled descriptions contain useful pay information, with important differences in definition.
• Learning needs time and a real assignment: Accenture reports approximately $1 billion of learning investment and 47 million training hours in fiscal 2025. It also reports 97,000 promotions and describes mentoring, people-lead support and an internal Careers Marketplace. Those are meaningful global indicators of activity. They do not establish an individual's promotion probability or entitlement to transfer. [C014-C015; S015]
• Examine team conditions and fair access: Employee evidence should be read at the scale it actually covers.
• Choose the right entry route: Accenture's opportunities do not share one entry requirement.
• Make the first assignment specific: This research retained fifteen readable official or authorized descriptions from twenty-eight attempted requisitions. Seven commercial pages had anticipated closing dates already in the past despite visible Apply controls. No application was submitted, and backend acceptance was not tested. The sample demonstrates work and disclosure differences; it cannot guarantee that a role remains available. [C031; S101-S115, S201-S213]

VERIFIED: Publicly visible publication returned by the existing publication store allowlist. Reviewed 2026-09-30.

• Overview: Research as of September 12, 2026 | U.S. employment focus | MyTopMatch Company Research Reports.
• Start with the actual employer: Amazon.com, Inc. reports through North America, International and AWS. Those financial categories do not necessarily identify the entity employing a particular person. The sample includes an AWS engineering role naming Amazon.com Services LLC, a marketing role naming Goodreads, and an Amazon Leo role naming Amazon Kuiper Manufacturing Enterprises LLC. [S001, S037, S039, S043]
• Growth does not answer the staffing question: Amazon’s financial record shows strong operating activity alongside substantial investment. Its latest release reports $200.6 billion in quarterly sales and 37% year-over-year AWS sales growth. The associated filing also separates operating earnings from large investment-related gains and shows the effect of heavy capital purchases on cash flow. [S002, S003]
• Find out what ownership means in this assignment: Amazon’s published Leadership Principles emphasize ownership and other standards for how work should be done. The practical meaning depends on the position. A finance manager’s regional responsibility, a site leader’s people-management duties and a technical contributor’s production work require different forms of authority and support. [S015, S030, S031, S037]
• The schedule can change the value of the opportunity: Amazon’s corporate office-return announcement took effect on January 2, 2025, with stated exceptions and allowances for extenuating circumstances. That policy is different from the scheduling requirements of site operations. The RSR area-manager description, for example, specifies overnight work; the datacenter technician description includes physical coverage and rotating demands. [S006, S044, S032]
• Read compensation in its original units: Official pay ranges are useful evidence, provided they remain attached to the role, level and location. The sample contains hourly and annual amounts. Some listings disclose pay for a named city while advertising a wider set of locations. None of this establishes an average salary for Amazon or a likely offer for every applicant. [S032, S034, S038]
• Education benefits are expanding, with important conditions: Amazon’s current Career Choice announcement says corporate employees joined the program in January 2026. New advanced credentials open for enrollment in October, with prerequisites and possible employee contributions. The public description of tuition prepayment should not be interpreted as full funding of every advanced course. [S013]
• Investigate employee support through real mechanisms: Amazon publishes safety-improvement data, reporting commitments and support channels. Their existence gives candidates something specific to ask about. It does not establish the quality of every local response. The full dossier also examines a scoped labor decision and recent, disputed accommodation allegations while retaining the limits of the available records. [S020, S022–S025, S028]
• Use the interview to learn, as well as demonstrate: Amazon’s public hiring guidance provides role-specific preparation, and its interview-loop material describes different dimensions being assessed. Candidates should prepare genuine examples that explain their judgment and contribution. They should also use the process to resolve questions about the assignment. [S016, S017]
• Make the next career step visible: The strongest reason to pursue a role is the work it enables the professional to do and the experience it helps them develop. Amazon’s breadth offers several directions to investigate, but the next decision should remain specific.
• Research note: This article draws on a companion 25-factor dossier, 49 source records and 19 official Amazon.jobs descriptions inspected on September 12, 2026. The role sample is purposive and nonrepresentative. One stated deadline had passed, four were future dates and fourteen were not exposed. No application was submitted or acceptance verified. Relevant annual and interim filing sections were inspected. Some underlying labor-case and settlement documents were unavailable, as identified in the dossier. No employee interviews or representative satisfaction survey were conducted. Individual offers, enrollment, candidate workflows and Link integration remain untested.
• Full research dossier: 25-factor employer intelligence: The complete supporting dossier follows, including the financial context, factor-level findings, candidate questions, contradictions, all 19 examined role records and the research-access limits. References are consolidated at the end of this page.
• Executive assessment: The first question about an Amazon career is which business and employment arrangement the professional would actually enter. The inspected roles include software engineering, customer architecture, enterprise sales, finance, HR, physical infrastructure, operational leadership, supply-chain design and injury prevention. Their responsibilities, entry routes and schedules differ substantially. An AWS-branded role can name Amazon.com Services LLC as its employer; a product-marketing opening can name Goodreads. The corporate name is a useful starting point for research, but the actual requisition is the appropriate unit for a career decision. [S030–S048]
• Company identity and the boundaries of this research: Amazon.com, Inc. is a Delaware corporation whose common stock trades as AMZN on The Nasdaq Stock Market. Its principal executive offices are listed at 410 Terry Avenue North, Seattle, Washington. The company reports through North America, International and AWS segments. Financial segments describe consolidated business reporting; they do not establish a candidate’s payroll entity, manager or benefit plan. [S001, S002]
• Current leadership context: The current S-team page identifies Andy Jassy as President and CEO, Matt Garman as AWS CEO, Doug Herrington as Worldwide Amazon Stores CEO, Brian Olsavsky as CFO, and Beth Galetti as the senior people executive. It also identifies Dave Treadwell’s AWS compute/machine-learning services remit and Peter DeSantis’s foundational-models, custom-silicon and quantum-computing remit. These are the roles displayed during this research, not inferred from old profiles. A prospective employee still needs the target team’s current reporting line. [S005]
• Selected chronology: Publication, event and effective dates are kept distinct in the source records. A current webpage can contain a future plan, an older announcement or an unchanged historical result. Accessing it today does not make every statement a September observation.
• Research design and evidence limits: The principal operating and workforce window is September 12, 2024 through September 12, 2026. Annual financial comparison uses completed calendar years 2023–2025, followed by the June 2026 quarter and specifically labeled trailing-twelve-month measures. Live research prioritized SEC statements, official job descriptions, company policy/program material, public labor records and independent reporting. The full annual and interim filing HTML was available; relevant statements, notes and the annual audit opinion were inspected. This was not a financial audit or exhaustive review of every filing paragraph. [S001, S002]
• Three completed years, compared on the same basis: Amounts are USD millions. Annual values cover the calendar years ended December 31. Free cash flow below uses the company’s cash-purchase/proceeds convention and is a derived non-GAAP measure. [S001]
• Latest inspected interim period: Source: unaudited interim filing. The liquidity sum is $78.213 billion plus $44.775 billion. The trailing free-cash-flow calculation is $161.403 billion minus $173.028 billion plus $4.021 billion. Pretax other income must not simply be deducted from after-tax net income to manufacture an “adjusted” earnings number. [S002]
• Evidence coverage across the 25 factors: Coverage describes the investigation’s support, not employer quality.
• F01. Financial resilience: The financial statements show a business generating substantial operating cash while committing heavily to infrastructure. The annual progression and latest interim reconciliation above are more informative than an isolated profit headline. Reported Q2 net income includes very large nonoperating gains, and cash capital purchases materially affect free cash flow. These items represent different economic processes and should remain separate. [S001–S004]
• F02. Competitive position: Amazon’s reporting separates regional commerce from AWS, while the job sample reaches into functions supporting customer acquisition, infrastructure and delivery execution. Recent AWS growth is evidence of disclosed demand in that segment. It does not establish that Amazon leads every product market or that a candidate will obtain high-value assignments simply by joining a well-known business. No independent, comprehensive market-share dataset was reconstructed for this report. [S001, S003, S033, S034]
• F03. Strategic direction: The latest filings document capital-intensive expansion, while leadership announcements emphasize faster decisions and organizational simplification. The role sample includes cloud infrastructure, AI-related work and the satellite program now branded Amazon Leo. A Leo position still names Amazon Kuiper Manufacturing Enterprises LLC as the employer. Strategy, operating brand and legal identity therefore need separate fields. [S002, S006–S009, S043]
• F04. Workforce stability: The October and January announcements concern corporate organizational reductions, alongside continued hiring in selected areas. A later September 1 report describes 148 planned Bay Area Amazon reductions beginning October 20. The local notice itself and completed departures were not inspected. That future event should not be described as already completed or added mechanically to earlier announcements as a deduplicated total. [S008–S010]
• F05. Leadership continuity and execution: The current roster distinguishes group, Stores and AWS leadership. The 2024 structure announcement set a target to raise the individual-contributor-to-manager ratio by at least 15% by the end of Q1 2025. That is a ratio target, not a statement that exactly 15% of managers would be dismissed. This investigation did not establish its achieved value or causal effect on decision quality. [S005, S006]
• F06. Management and team variation: The sample contains genuinely different management assignments. The regional finance role describes four direct team members; the graduate operations role describes leading 50–100 hourly associates. These figures concern their specific descriptions, not typical spans across Amazon. They show why an identical expectation of support would be inappropriate across the two contexts. [S030, S031]
• F07. Operating culture: Amazon publishes sixteen Leadership Principles, including customer focus, ownership, high standards, learning and constructive disagreement. The conduct code separately establishes formal obligations. These provide vocabulary for understanding the company’s stated expectations, but they do not certify a uniform lived experience. One sampled AWS description still refers to fourteen principles, illustrating that recruiting boilerplate may lag the central source. [S015, S028, S037]
• F08. Workload and expectations: Specific duties matter more than an assumed company-wide hours norm. The operations and safety descriptions include long periods on site and physical tasks. Datacenter work includes coverage outside ordinary office hours; the EKS engineering description includes operational on-call responsibilities. Several other professional listings state a 40-hour week. None establishes actual average weekly hours or the frequency of exceptional demand. [S032, S036, S037, S039, S040, S042]
• F09. Work arrangements: The corporate office-return announcement specified January 2, 2025, while preserving extenuating circumstances and approved exceptions. That is different from the schedules of operations roles. The RSR area-manager listing specifies an overnight pattern; the datacenter role requires physical coverage. A broad statement about flexibility in a job description does not itself confer remote-work permission. [S006, S032, S044]
• F10. Ethics, employee voice, and fair treatment: Amazon’s code prohibits retaliation for good-faith misconduct reports and describes reporting through legal channels and an independent third party. Safety reporting is another distinct channel. Formal protections must be evaluated alongside what happens when a person uses them. Their existence does not demonstrate the quality of every investigation or response. [S028, S020]
• F11. Base compensation: The sample supplies substantial direct-employer pay information, but it is not a salary survey. The datacenter technician record uses an hourly range. Professional roles generally use location-specific annual ranges. The supply-chain manager II record omits an explicit period, and the part-time safety internship displays annual figures without resolving actual program pay. These uncertainties remain visible in the appendix and JSON. [S032, S040, S047]
• F12. Bonus, equity, and variable pay: Many sampled professional listings describe sign-on payments and restricted stock units; some use conditional wording. The AWS account-manager description separately mentions sales incentives. The public benefits page also describes stock participation without supplying the award terms for an individual hire. These sources establish potential components, not their amounts, timing or realized value. [S011, S034, S039, S046]
• F13. Benefits and leave: Amazon’s general recruiting summary makes benefits conditional on location, country, employment status and other factors. Its 2025 fulfillment/transportation announcement described an entry-level medical option beginning in 2026, while the new Whole Foods announcement specifies a later transition. These pages are not interchangeable plan documents. A benefit advertised to one population should not be assumed available to every professional, seasonal worker, intern or partner employee. [S011, S012, S014]
• F14. Location and relocation implications: Most sample records name specific worksites, but some contain important ambiguity. The supply-chain manager II description names Kirkland in its body and Bellevue in its job details. Graduate placements can depend on business needs despite stated preferences. The RSR role describes training away from home with arranged travel and lodging; the accounting rotation describes relocation support only if eligible. [S040, S031, S044, S048]
• F15. Compensation progression: The fulfillment/transportation pay announcement describes scheduled tenure-based increases alongside broader pay investment. Whole Foods separately announced a change toward predictable annual progression for hourly store employees. Neither establishes a universal corporate merit-increase rate or a guaranteed future stock award. The subsidiary change also has its own effective timetable. [S012, S014]
• F16. Promotion and internal mobility: Amazon’s benefits page describes internal transfers and development. The restructuring announcements offer a more concrete, circumstance-specific internal-search process. Whole Foods reports more than 12,700 store-team promotions in 2025, but that count has no eligible-population denominator in the examined material. It cannot become a promotion probability for another Amazon business. [S011, S008, S009, S014]
• F17. Learning and development: The current Career Choice page states that corporate employees were added in January 2026 and that new U.S. advanced credentials open for enrollment in October. These programs have degree/prerequisite conditions and may involve employee contributions within an annual benefit cap. The page’s tuition-prepayment description therefore should not be read as a promise to fund every program completely. [S013]
• F19. AI adoption and job redesign: Jassy’s June 2025 message predicts fewer corporate employees over time as AI changes work, with some roles shrinking and others expanding. That is a stated expectation. The sampled external supply-chain program-manager description also includes AI-tool experience among its requirements, while early-career engineering material describes AI-assisted development. The evidence makes this relevant beyond specialized model-research jobs. [S007, S045, S038]
• F20. Future career value: MyTopMatch analysis: the described work could support transferable evidence in cloud operations, customer problem-solving, operational leadership, regulated technical access, supply-chain decisions and financial controls. Whether a person gains that evidence depends on meaningful participation and ownership. The sample does not measure a brand wage premium, future placement rate or guaranteed exit route. [S032–S034, S041–S046, S048]
• F21. Current hiring activity: The official sample demonstrates that the inspected descriptions were available during the research. It does not certify that an application would be accepted. The aerospace/satellite architect page retained an Apply now link despite a September 10 closing date. Other records had near-term deadlines or none exposed. Search excerpts sometimes differed from the opened pages, so the inspected body was retained with its observation date. [S033, S034, S035, S042, S044]
• F22. Entry requirements and accessibility: The entry routes differ materially. The cleared aerospace role requires citizenship and active clearance. The Leo supply-chain role describes broader export-control eligibility categories. The technician role uses a different educational threshold from engineering, accounting and athletic-training programs. These conditions must remain attached to their specific records rather than generalized into an Amazon-wide rule. [S032, S033, S043, S047, S048]
• F23. Recruitment and interview process: Amazon’s hiring material separates application, assessment and interview preparation and supplies role-specific guidance. Its interview-loop page describes individual interviews examining different dimensions. It also points readers toward behavioral and structured-example preparation. The accessible content does not establish that every applicant receives the same sequence, interviewer count or decision deadline. [S016, S017]
• F24. Networking and referral access: Candid Chats provides an identifiable, publicized way to request an informal conversation with an employee-led-group volunteer during an interview process. Its testimonials are selected by the employer and do not measure representativeness. Some FAQ answers were not exposed, including the answer about interview impact, so this research does not claim a guaranteed confidential or outcome-neutral conversation. [S018]
• F25. Onboarding and early success: The source material provides some concrete preparation structures. RSR leadership includes offsite training; the accounting rotation sets a sequence of assignments; the injury-prevention internship requires a project and explicitly excludes CAATE clinical-education credit. Those differences matter when a candidate is evaluating the experience they will actually receive. Public descriptions establish program design, not delivery quality or personal outcomes. [S044, S047, S048]
• T01. Operating growth and corporate restructuring can occur together: The financial record supports substantial business activity; the workforce announcements establish separate organizational choices. Neither makes the other disappear. The strongest counterevidence to a blanket security narrative is the stated reduction program. The strongest counterevidence to a blanket decline narrative is the disclosed operating performance and continued investment. For the professional, the unresolved link is between the target role and the work its business has committed to perform. [F01, F03, F04; S001–S004, S008, S009]
• T02. Early leadership scope carries a specific operating commitment: The graduate operations route can provide unusually tangible people-management duties at entry. It also comes with site presence, physical conditions and shift requirements. The opportunity is the nature of the responsibility, and the tradeoff is the actual working pattern and support structure. Resolve both before interpreting an early management title as an unqualified advancement. A candidate seeking professional office work should not discover after acceptance that the intended route was fundamentally different. [F06, F08, F09, F18; S031]
• T03. A broad education benefit still needs a funding and timing check: Career Choice expands the directions an eligible employee can investigate, including work outside Amazon. The advanced-program contribution conditions and future enrollment date qualify that opportunity. Whole Foods has a separate future timetable. The strongest evidence against a universal “everything is available now and free” message comes from Amazon’s own more specific terms. The useful next action is to confirm eligibility, cost and scheduling for the actual course and employment classification. [F13, F16, F17; S013, S014]
• T04. Company safety improvements and local concerns require separate evidence: Amazon’s 2025 safety report gives different results for different populations: global incident-rate improvements do not mean every U.S. subgroup improved on every measure. For example, it reports a 16% year-over-year improvement in U.S. warehousing recordable incidents while its lost-time rate for that group was flat. These are company-reported aggregate observations, not a site inspection or a refutation of every individual complaint. [S020]
• T05. Official pages can still require reconciliation: The sample contains a passed deadline, a location discrepancy, a pay-period omission, an internship pay-basis question and old principle-count boilerplate. These do not establish that every posting is unreliable. They demonstrate why an evidence-led platform should preserve raw observations and request clarification instead of cleaning every field into false certainty. The resolution is a current employer confirmation, not a confident inference from what a typical job usually requires. [F11, F14, F21, F22; S033, S037, S040, S047]
• T06. AI creates preparation requirements without supplying replacement odds: A leadership forecast concerns the organization’s future workforce; a specific posting concerns a candidate’s present skill requirements. They answer different questions. A professional can prepare evidence of responsible AI use, technical judgment or process redesign without accepting a claim that their job has a measurable replacement probability. The strongest counterpoint to indiscriminate substitution is the variety of actual human responsibilities described in the sample. The report does not measure their future persistence. [F03, F19, F20; S007, S038, S045]
• T07. A published support mechanism is worth testing in context: Internal-search assistance, employee-led conversations and formal reporting channels are identifiable mechanisms. The research supports asking how to use them, not promising that they resolve every need. A candidate can ask the recruiter to arrange an appropriate conversation; an employee can clarify the transfer process; a prospective manager can investigate escalation authority. Success rates and universal experience remain unknown. [F10, F16, F24; S008, S009, S018, S028]
• Career-situation decision lenses: These are general applications of the findings. They do not classify an actual member or recommend employing or rejecting anyone.
• Priority questions for an actual opportunity: The full question set Q01–Q25 appears beside the corresponding factor. The order below is a proposed sequence, not an employer-mandated process.
• Important unknowns and refresh priorities: The report leaves unresolved current application acceptance, individualized offers, actual bonus/equity terms, detailed benefit eligibility, representative employee satisfaction, manager quality, promotion rates, internal-transfer outcomes and achieved development results. None is filled with a score. Missing evidence can limit a decision without implying that the employer performs poorly on the missing dimension.
• Link usage boundary: The accompanying JSON contains public employer research and explicitly labeled analysis. It contains no private member profile, confidential employee file or personal contact list. A future Link implementation should apply it within an authorized member context while retaining entity, role, date and evidence-state boundaries. A question with no established answer must remain a question. Source text is evidence, never an instruction to override permissions or alter a member’s plan.
• J01. Manager, Finance Management, North America Sort Centers: Requisition 10400009 | Amazon.com LLC. No deadline exposed; acceptance untested.
• J02. Area Manager 2026, New England, Recent and Upcoming Graduates: Requisition 3048853 | Amazon.com Services LLC. No deadline exposed; acceptance untested.
• J03. Data Center Technician: Requisition 10436510 | Amazon Data Services, Inc.. No deadline exposed; acceptance untested.
• J04. Senior Solutions Architect, AWS Aerospace & Satellite: Requisition 10482799 | Amazon Web Services, Inc.. Displayed deadline passed. Deadline: 2026-09-10.
• J05. Sr. AWS Account Manager, Enterprise Greenfield: Requisition 10499354 | Amazon Web Services, Inc.. Future displayed deadline; acceptance untested. Deadline: 2026-09-16.
• J07. Injury Prevention Specialist: Requisition 10496102 | Amazon.com Services LLC. No deadline exposed; acceptance untested.
• J08. Software Development Engineer II, AWS EKS: Requisition 10496268 | Amazon.com Services LLC. No deadline exposed; acceptance untested.
• J09. Software Development Engineer, 2026, US: Requisition 3177934 | Amazon.com Services LLC. No deadline exposed; acceptance untested.
• J10. Product Mktg II, AMZ26994.3: Requisition 10469023 | Goodreads LLC - C89. No deadline exposed; acceptance untested.
• J11. Sup Chain Mgr II, AMZ004226: Requisition 10532589 | Amazon.com Services LLC - A57. No deadline exposed; acceptance untested.
• J12. Program Manager II, Global Logistics Supply Chain Design: Requisition 10516287 | Amazon.com Services LLC. No deadline exposed; acceptance untested.
• J13. Operations Manager: Requisition 10478795 | Amazon.com Services LLC. Future displayed deadline; acceptance untested. Deadline: 2026-09-14.
• J14. Senior Supply Chain Program Manager, Amazon Leo: Requisition 10503442 | Amazon Kuiper Manufacturing Enterprises LLC. No deadline exposed; acceptance untested.
• J15. Area Manager, RSR: Requisition 10447990 | Amazon.com Services LLC. Future displayed deadline; acceptance untested. Deadline: 2026-09-15.
• J16. External Supply Chain Program Manager, WWOS External Supply Chain: Requisition 10496722 | Amazon.com LLC. No deadline exposed; acceptance untested.
• J17. Sr. Mgr, Supply Chain Mgmt, AMZ8049.19: Requisition 10494645 | Amazon.com Services LLC - A57. No deadline exposed; acceptance untested.
• J18. Injury Prevention Specialist Intern: Requisition 10503471 | Amazon.com Services LLC - A57. No deadline exposed; acceptance untested.
• J19. Amazon Finance Rotational Program, Accounting, Early Career, 2026: Requisition 10507283 | Amazon.com Services LLC. No deadline exposed; acceptance untested.
• S001: 2025 Form 10-K. Amazon.com, Inc. / SEC. Published: date not established. Accessed: 2026-09-12. Period: Years ended December 31, 2023–2025; balances at December 31, 2024 and 2025.
• S002: Second-quarter 2026 Form 10-Q. Amazon.com, Inc. / SEC. Published: date not established. Accessed: 2026-09-12. Period: Quarter and six months ended June 30, 2026; trailing twelve months where labeled.
• S003: Amazon Q2 2026 earnings report. Amazon. Published: 2026-07-30. Accessed: 2026-09-12. Period: Quarter ended June 30, 2026.
• S004: Amazon Q4 and full-year 2025 earnings report. Amazon. Published: 2026-02-05. Accessed: 2026-09-12. Period: 2025 and dated 2026 expectations.
• S005: Amazon’s S-team: senior leadership members. Amazon. Published: date not established. Accessed: 2026-09-12.
• S006: Update on return-to-office plans and manager team ratio. Andy Jassy / Amazon. Published: 2024-09-16. Accessed: 2026-09-12. Event/effective reference: 2024-09-16.
• S007: Andy Jassy on generative AI. Amazon. Published: 2025-06-17. Accessed: 2026-09-12. Event/effective reference: 2025-06-17.
• S008: Staying nimble and continuing to strengthen our organizations. Beth Galetti / Amazon. Published: 2025-10-28. Accessed: 2026-09-12. Event/effective reference: 2025-10-28.
• S009: An update on our organization. Beth Galetti / Amazon. Published: 2026-01-28. Accessed: 2026-09-12. Event/effective reference: 2026-01-28.
• S010: Amazon and Synopsys Bay Area layoff reporting. San Francisco Chronicle. Published: 2026-09-01. Accessed: 2026-09-12. Event/effective reference: 2026-10-20.
• S011: Benefits and Stock. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S012: 2025 wage and health-care investment for U.S. fulfillment and transportation employees. Amazon. Published: 2025-09-17. Accessed: 2026-09-12. Period: 2025 pay announcement; specified 2026 health-plan terms.
• S013: Career Choice adds advanced credential programs. Amazon. Published: date not established. Accessed: 2026-09-12. Event/effective reference: 2026-10. Period: Current program description with future October 2026 expansion.
• S014: Whole Foods Market pay and benefits expansion. Amazon / Whole Foods Market. Published: date not established. Accessed: 2026-09-12. Period: 2025 promotion retrospective and announced 2027 benefits.
• S015: Leadership Principles. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S016: How We Hire. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S017: Interview loop. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S018: Candid Chats. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S019: Accommodations. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S020: 2025 workplace safety performance. Amazon / Sarah Rhoads. Published: date not established. Accessed: 2026-09-12. Period: 2025, 2024 comparison and 2019 baseline.
• S021: OSHA settlement with Amazon on ergonomic measures. U.S. Department of Labor. Published: 2024-12-19. Accessed: 2026-09-12. Event/effective reference: 2024-12-19.
• S022: Amazon.com Services LLC, 374 NLRB No. 82. National Labor Relations Board; PDF reproduced by NLRB Research. Published: 2026-04-01. Accessed: 2026-09-12. Event/effective reference: 2026-04-01.
• S023: Case 29-CA-310869: Amazon.com Services LLC. National Labor Relations Board. Published: date not established. Accessed: 2026-09-12. Period: Docket viewed September 12, 2026.
• S024: Former Amazon employees sue over pregnancy-related treatment. Associated Press. Published: date not established. Accessed: 2026-09-12. Event/effective reference: 2026-09-08.
• S025: Nationwide proposed action concerning pregnant warehouse workers. A Better Balance, plaintiffs’ counsel. Published: 2026-09-08. Accessed: 2026-09-12. Event/effective reference: 2026-09-08.
• S026: Testimony on New York City proposed Delivery Protection Act. Amazon. Published: date not established. Accessed: 2026-09-12. Period: 2026 proposed Introduction No. 0518-2026.
• S027: Operations and delivery model overview. Amazon. Published: date not established. Accessed: 2026-09-12.
• S028: Code of Business Conduct and Ethics. Amazon Investor Relations. Published: date not established. Accessed: 2026-09-12.
• S029: rekindle. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S030: Manager, Finance Management, North America Sort Centers. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S031: Area Manager 2026, New England, Recent and Upcoming Graduates. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S032: Data Center Technician. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S033: Senior Solutions Architect, AWS Aerospace & Satellite. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S034: Sr. AWS Account Manager, Enterprise Greenfield. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S035: HR Partner, Human Resources, NASC PXT. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S036: Injury Prevention Specialist. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S037: Software Development Engineer II, AWS EKS. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S038: Software Development Engineer, 2026, US. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S039: Product Mktg II, AMZ26994.3. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S040: Sup Chain Mgr II, AMZ004226. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S041: Program Manager II, Global Logistics Supply Chain Design. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S042: Operations Manager. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S043: Senior Supply Chain Program Manager, Amazon Leo. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S044: Area Manager, RSR. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S045: External Supply Chain Program Manager, WWOS External Supply Chain. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S046: Sr. Mgr, Supply Chain Mgmt, AMZ8049.19. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S047: Injury Prevention Specialist Intern. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S048: Amazon Finance Rotational Program, Accounting, Early Career, 2026. Amazon.jobs. Published: date not established. Accessed: 2026-09-12.
• S049: Amazon must negotiate with Staten Island workers, Board says. Reuters, republished by Investing.com. Published: 2026-04-02. Accessed: 2026-09-12.
• Explore more company research: Continue with MyTopMatch’s Company Research Reports collection using the related-reading link [MTM1] below. Research should help you clarify the actual role, prepare meaningful questions and evaluate the written terms before making a career commitment.

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

• Overview: Two senior Apple roles can describe very different kinds of leadership. In the finance principal-architect description examined for this research, the work involves technical direction without a people-management position. A supply-chain technology director description explicitly includes organizational leadership and funding responsibilities. A title can signal seniority while leaving the candidate's actual authority unresolved. [C043, C108, C110; S108, S110]
• A recent leadership change belongs in the conversation: John Ternus became Apple's CEO on September 1, 2026, with Tim Cook becoming executive chairman. The current leadership page reflects the transition announced in April. Older company releases that identify Cook as CEO describe their own dates. [C011-C012; S006-S007]
• Financial scale still leaves a local question: Apple's fiscal 2025 net sales were $416.161 billion, with $111.482 billion in operating cash flow. Its latest interim filing covers the quarter and nine months ended June 27, 2026; nine-month operating cash flow was $116.996 billion. Those figures establish substantial operating capacity. They do not reveal the budget assigned to a particular team. [C003-C007; S001-S002]
• Learn what the working week involves: The detailed role evidence in this investigation includes a Community Specialist, Channel Retail description for Columbus, Ohio. It specifies forty weekly hours, occasional overtime, a typical Wednesday-Sunday schedule and a requirement to live within sixty miles with reliable transportation. That is a different employment pattern from a generic image of an Apple office job. [C025, C101; S101]
• Establish what the title actually controls: The inspected iCloud description assigns broad responsibility to a small team. The sensor-data program description crosses technical, participant, vendor and legal dependencies. These can be opportunities to build useful expertise, provided the employee understands the resources and decisions attached to the work. [C105, C107; S105, S107]
• AI experience comes with permission boundaries: AI appears in the work descriptions rather than only in promotional language. A sensor-software program role calls for regular generative-AI use. Finance architecture and design copies describe AI-enabled systems or prototyping. These are attributed role requirements and plans, not proof that every named capability has been deployed. [C031; S107-S109]
• Consider what you will be able to show: An important career question for some candidates is whether the role fits an existing public portfolio, research project or app business.
• Reconcile compensation before comparing offers: The clearest pay-period disclosure in the detailed sample is the Columbus channel copy's $22-$28.88 hourly range. Professional copies contain larger dollar bands, with an annual label supplied by the host but no explicit period in the attributed body. The research preserves that difference rather than presenting the bands as verified current annual offers. [C027; S101-S111]
• Employee experience remains a team-level investigation: Three accessible employee-review excerpts offer favorable accounts of support, culture or work-life experience, alongside concerns about retail pay and progression. Their country and employment history were not independently verified. They establish reported experiences rather than a share of employees holding those views. [C024; S025-S026]
• Make the next step specific: The research retained eleven detailed third-party copies and twelve official metadata-only listings. One official record is a general Apple Store opportunity pipeline. No complete official requisition body or application acceptance was verified, so these records should not be read as twenty-three confirmed current vacancies. [C038-C040; S018-S019, S101-S111, S201-S221]

VERIFIED: Publicly visible publication returned by the existing publication store allowlist. Reviewed 2026-09-30.

• Overview: A sales-oriented bank job can require commercial judgment and still offer no individual incentive plan. A senior engineering lead can carry organizational responsibilities without being listed as a people manager.
• Start with the business that owns the role: The public parent is Bank of America Corporation, based in Charlotte. Its business includes consumer banking, wealth management, commercial and investment banking, and markets. Bank of America, N.A., Merrill and securities affiliates are not interchangeable legal entities. The public careers branding does not establish the payroll employer for every vacancy. [C001-C002; S001, S003, S007]
• The working week deserves a current answer: A timely policy development makes a general promise of flexibility insufficient.
• Read the incentive section separately from the responsibilities: The Colorado postings show how easily compensation assumptions can go wrong.
• A senior title does not resolve decision rights: The agentic-AI Engineering Lead description asks for extensive engineering leadership and work on enterprise performance and reliability. It also carries organizational responsibilities while showing no people-management designation. The Patch and Repave Senior Engineering Manager, by contrast, is explicitly marked as managing people. [C032, C110, C112; S110, S112]
• AI experience includes the controls around it: Bank of America describes operational employee use of AI, and the current sample contains explicit GenAI engineering, agent-platform and AI-assisted design work. These are concrete areas to investigate. They should not become a claim that every advertised platform is fully deployed or every employee uses generative AI. [C025-C026, C111-C113; S011-S012, S111-S113]
• Development opportunities have conditions: The company's 2025 annual report says more than 14,000 employees moved into new internal roles and 44% of roles were filled internally. That supports the existence of movement. It does not establish that 44% of employees were promoted, or that a new hire can transfer whenever a preferred vacancy appears. [C010, C040; S001]
• Benefits and culture need their own verification: The U.S. benefits summary advertises retirement matching, a separate service-based company contribution and education assistance. It describes 26 total weeks for new parents, of which sixteen are fully paid for eligible employees. These are different quantities. Eligibility, start date and governing plan documents matter. [C022-C023; S007]
• Make the commitment to the actual assignment: This investigation examined seventeen readable official job descriptions. Apply controls were visible, but no application was submitted and backend acceptance was not tested. Six other job-destination attempts failed. The sample reveals differences in work and disclosure; it does not measure total hiring or prove later availability. [C029; S101-S117, S201-S206]

VERIFIED: Publicly visible publication returned by the existing publication store allowlist. Reviewed 2026-09-30.

• Overview: Research as of: September 29, 2026 Employment scope: United States, with clearly separated global and acquired-company context

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

• Overview: A Deloitte technical role can explicitly tie employment to a project. Two audit entry routes can treat CPA-education preparation differently. A delivery-center position can reduce overnight travel while retaining a meaningful co-location requirement. Each distinction appears in the descriptions examined for this report, and each can change a career decision. [S026, S029, S030, S033, S034]
• Find out what the talent model means for you: Two sampled Project Delivery descriptions connect employment to a role on a project and state that the model has no additional business-development or promotion expectations. They also describe a distinct benefits package. Other sampled positions explicitly include client pursuits, coaching or broader leadership responsibilities. Those are different kinds of commitments. [S026, S027, S034, S037]
• Distinguish the global network from the employer: Deloitte’s U.S. transparency report distinguishes DTTL, the U.S. member firms and the client-service subsidiaries. The global organization is not a single worldwide payroll employer. A public statement about the network should not automatically become a term of a U.S. offer. [S001]
• Read the qualification route closely: The financial-statement audit assistant description requires CPA-licensure education before employment. The distributed audit assistant description lists that education as preferred. Both retain other entry requirements. This is a useful difference between two specific routes, rather than a blanket statement that professional qualifications have become optional. [S029, S030]
• A return route deserves an availability check: Deloitte’s Encore page describes support for professionals returning after a career break of six months or longer. Its public account supplies a route worth investigating. This research did not establish a currently accepting cohort, its start date or program duration. [S013]
• Separate office days from client travel: The sampled audit routes have different co-location patterns and travel limits. The university-hosted U.S. Delivery Center project-management description identifies up to 30% co-location, including up to 10% overnight client travel. Less overnight travel does not eliminate the location commitment. [S029, S030, S033]
• Make benefits a dated, role-specific comparison: Deloitte’s current benefits page says eligibility depends on the role and other conditions. It also distinguishes contribution and vesting requirements within its retirement summary. Advertised benefits therefore need an applicable plan and timeline before they can be compared meaningfully. [S007]
• Establish the compensation basis before comparing numbers: Fifteen inspected descriptions display a pay band or estimate, while one does not. The retained text does not clearly establish the base-pay period for those figures. The research therefore preserves the amounts without silently converting them into annual salary or program earnings. [S025–S040]
• Ask about professional obligations before joining: Deloitte’s independence policy reaches beyond auditors and may affect spouses or equivalents and dependents, depending on the professional’s circumstances. Candidates should investigate the applicable requirements early enough to understand any consequences before committing. This report has not evaluated anyone’s private relationships or investments. [S016]
• Examine what AI work would require you to demonstrate: The sample includes AI engineering, an internal advisory role requiring AI-enabled research experience and technical work emphasizing validation and controls. Deloitte has also announced an internal learning assistant and an engineering-practice expansion. Those are different propositions, not evidence that every employee uses the same workflow. [S012, S024, S032, S035]
• Read financial scale alongside the assignment: The latest U.S. revenue series obtained for this investigation covers FY2023 through FY2025. It shows growth, but the transparency-report information is expressly not prepared under U.S. GAAP and does not supply a complete current cash-flow or profit assessment. FY2026 U.S. results were not obtained. [S001–S004]
• Recheck the actual opening before investing heavily: The sample contains one direct Deloitte posting, fourteen employer-attributed distribution pages and one university-hosted description. Several dates disagree. The directly retrieved transfer-pricing role has a past recruiting-end date despite an Apply control. The university-hosted delivery-analyst page gives an earlier host expiry than the employer body’s recruiting-end statement. [S025, S033]
• Research note: This article draws on research edition DEL-US-1.0: 25 factors, forty source records and sixteen U.S. role descriptions inspected September 13, 2026. The purposive sample is not representative of all hiring or employee experience. Financials cover disclosed combined U.S.-entity fiscal years, with global figures kept separate. Relevant primary financial, regulator and settlement material was inspected; certain current financial, internal benefits and application details remain unavailable. No applications, employee interviews, benefit enrollments, representative satisfaction survey or production Link integration occurred. This article was published after owner authorization on September 22, 2026.
• S001: **2025 U.S. Transparency Report**. Deloitte & Touche LLP. Publication/host date: not established. Period: Fiscal year ended May 31, 2025. Accessed: 2026-09-13.
• S002: **2024 U.S. Transparency Report**. Deloitte & Touche LLP. Publication/host date: not established. Period: Fiscal year ended June 1, 2024; comparative June 3, 2023. Accessed: 2026-09-13.
• S003: **2023 U.S. Transparency Report**. Deloitte & Touche LLP. Publication/host date: not established. Period: Fiscal year ended June 3, 2023. Accessed: 2026-09-13.
• S004: **Deloitte U.S. facts and figures**. Deloitte U.S.. Publication/host date: not established. Period: FY2025. Accessed: 2026-09-13.
• S005: **U.S. CEO Jason Girzadas and U.S. Chair Lara Abrash reelected to second term**. Deloitte U.S.. Publication/host date: 2026-08-04. Event/report date: 2026-08-04. Effective date: 2027-05-30. Accessed: 2026-09-13.
• S006: **Global revenue announcement for fiscal year 2025**. Deloitte Global. Publication/host date: 2025-09-30. Period: Fiscal year ended May 31, 2025. Accessed: 2026-09-13.
• S007: **Benefits and rewards**. Deloitte U.S. Careers. Publication/host date: not established. Accessed: 2026-09-13.
• S008: **Deloitte is cutting down benefits for some workers**. Business Insider. Publication/host date: 2026-04-16. Effective date: 2027-01-01. Accessed: 2026-09-13.
• S009: **U.S. Delivery Center careers**. Deloitte U.S. Careers. Publication/host date: not established. Accessed: 2026-09-13.
• S010: **Deloitte Open Talent**. Deloitte U.S. Careers. Publication/host date: not established. Accessed: 2026-09-13.
• S011: **Growth and development**. Deloitte U.S. Careers. Publication/host date: not established. Accessed: 2026-09-13.
• S012: **Scout AI learning assistant**. Deloitte U.S.. Publication/host date: 2025-10-01. Accessed: 2026-09-13.
• S013: **Return to work: Encore**. Deloitte U.S. Careers. Publication/host date: not established. Accessed: 2026-09-13.
• S014: **Non-four-year-degree opportunities**. Deloitte U.S. Careers. Publication/host date: not established. Accessed: 2026-09-13.
• S015: **Recruiting tips**. Deloitte U.S. Careers. Publication/host date: not established. Accessed: 2026-09-13.
• S016: **Deloitte independence policy**. Deloitte U.S.. Publication/host date: not established. Accessed: 2026-09-13.
• S017: **Executive jobs and careers**. Deloitte U.S. Careers. Publication/host date: not established. Accessed: 2026-09-13.
• S018: **PCAOB posts six new inspection reports**. Public Company Accounting Oversight Board. Publication/host date: 2026-08-13. Accessed: 2026-09-13.
• S019: **2025 inspection of Deloitte & Touche LLP, Release 104-2026-085**. Public Company Accounting Oversight Board. Publication/host date: 2026-08-13. Event/report date: 2026-05-21. Period: 2025 inspection, generally 2024 issuer audits. Accessed: 2026-09-13.
• S020: **Deloitte agrees to pay $21.5 million to resolve alleged employment discrimination violations**. U.S. Department of Justice. Publication/host date: 2026-08-25. Accessed: 2026-09-13.
• S021: **United States / Deloitte settlement agreement**. Parties to False Claims Act settlement; DOJ-hosted copy. Publication/host date: not established. Period: August 2026 agreement. Accessed: 2026-09-13.
• S022: **Deloitte to lay off government consultants amid spending cuts**. Bloomberg Law. Publication/host date: 2025-04-03. Accessed: 2026-09-13.
• S023: **Pentagon to terminate $5.1 billion in IT contracts with Accenture, Deloitte, others**. Reuters, reproduced by Investing.com. Publication/host date: 2025-04-10. Accessed: 2026-09-13.
• S024: **Deloitte launches Open Model Engineering practice**. Deloitte Global. Publication/host date: 2026-09-02. Accessed: 2026-09-13.
• S025: **Manager, Transfer Pricing**. Deloitte Careers. Publication/host date: not established. Period: Role display inspected September 13, 2026. Accessed: 2026-09-13.
• S026: **Project Delivery Management Engineer II, DevOps**. Deloitte-attributed posting / eQuest. Publication/host date: 2026-08-17. Period: Role display inspected September 13, 2026. Accessed: 2026-09-13.
• S027: **Lead Forward Deployed Engineer, Palantir**. Deloitte-attributed posting / eQuest. Publication/host date: 2026-08-16. Period: Role display inspected September 13, 2026. Accessed: 2026-09-13.
• S028: **Oracle HCM Cloud Implementation Project Senior Manager**. Deloitte-attributed posting / eQuest. Publication/host date: 2026-08-30. Period: Role display inspected September 13, 2026. Accessed: 2026-09-13.
• S029: **Audit & Assurance - Assistant - Financial Statement Audit - Summer/Fall 2026, Winter 2027**. Deloitte-attributed posting / eQuest. Publication/host date: 2026-08-28. Period: Role display inspected September 13, 2026. Accessed: 2026-09-13.
• S030: **Audit & Assurance - Assistant - Distributed Audit and Assurance Services - Summer/Fall 2027, Winter 2028**. Deloitte-attributed posting / eQuest. Publication/host date: 2026-09-08. Period: Role display inspected September 13, 2026. Accessed: 2026-09-13.
• S031: **Consultative Offerings Analyst, AI Innovation**. Deloitte-attributed posting / eQuest. Publication/host date: 2026-08-28. Period: Role display inspected September 13, 2026. Accessed: 2026-09-13.
• S032: **Specialist Manager, Engagement Matters**. Deloitte-attributed posting / eQuest. Publication/host date: 2026-09-04. Period: Role display inspected September 13, 2026. Accessed: 2026-09-13.
• S033: **Consultative Offerings, U.S. Delivery Center GPS Delivery Analyst, Project Management Solutions**. Deloitte-attributed posting / Arizona State University career service. Publication/host date: 2026-08-12. Period: Role display inspected September 13, 2026. Accessed: 2026-09-13.
• S034: **ServiceNow Data Migration Technical Transformation Senior Consultant**. Deloitte-attributed posting / eQuest. Publication/host date: 2026-08-31. Period: Role display inspected September 13, 2026. Accessed: 2026-09-13.
• S035: **Forward Deployed Engineer, AWS**. Deloitte-attributed posting / eQuest. Publication/host date: 2026-08-24. Period: Role display inspected September 13, 2026. Accessed: 2026-09-13.
• S036: **Nuvolo Implementation Consultant**. Deloitte-attributed posting / eQuest. Publication/host date: 2026-08-28. Period: Role display inspected September 13, 2026. Accessed: 2026-09-13.
• S037: **Senior Manager, Tax, SAP Tax Transformation Consulting**. Deloitte-attributed posting / eQuest. Publication/host date: 2026-08-30. Period: Role display inspected September 13, 2026. Accessed: 2026-09-13.
• S038: **Associate Talent Acquisition School Recruiter**. Deloitte-attributed posting / eQuest. Publication/host date: 2026-08-13. Period: Role display inspected September 13, 2026. Accessed: 2026-09-13.
• S039: **Consultative Offerings GPS Summer Scholar, Cyber Strategy**. Deloitte-attributed posting / eQuest. Publication/host date: 2026-08-11. Period: Role display inspected September 13, 2026. Accessed: 2026-09-13.
• S040: **Consultative Offerings GPS Analyst, Cyber Analytics**. Deloitte-attributed posting / eQuest. Publication/host date: 2026-08-11. Period: Role display inspected September 13, 2026. Accessed: 2026-09-13.

VERIFIED: Published public company-report registry; findings remain attributed to the report. Reviewed 2026-09-30.

• Overview: Research as of September 19, 2026. U.S. employment focus. Artwork is AI-generated editorial illustration; images do not depict verified employees, offices or completed developments.
• Read the leadership changes with their actual dates: Josh D’Amaro became CEO on March 18, 2026. On September 17, Disney announced Adam Smith as Chairman of Direct-to-Consumer for Disney Entertainment. The following day, it named Karandeep Anand to a new enterprise Chief Technology Officer role, effective October 2. As of this research date, that last appointment has been announced and has not yet taken effect. [S006–S009]
• Identify the employer as carefully as the brand: The official sample names several employing entities, including Disney Entertainment & Sports LLC, ESPN Productions, Inc., Hulu, LLC, Walt Disney Parks and Resorts U.S., Inc., and a Lucasfilm payroll entity. These distinctions deserve attention when comparing benefits, employment classification or internal opportunities. [S101–S113]
• Establish the life of the position: The sample includes a senior costume buyer advertised as a project hire or internal assignment and an Industrial Light & Magic lighting role described as a project hire. A seasonal distribution posting describes an approximately 180-day assignment with a possible path to part-time employment. That possibility does not guarantee conversion. [S107, S109–S110]
• Compare the working week, not the label: Work arrangements vary even within professional roles. The sampled iOS engineering position requires four onsite days; the ESPN talent-production description permits remote work, prefers New York and includes occasional onsite needs. Reporting in September separately describes tighter office attendance for some product and technology staff. These sources do not establish one universal rule for the entire group. [S101, S103, S012]
• Keep advertised base pay separate from uncertain rewards: Disney’s postings offer useful pay information when their units and locations are retained. The sampled Walt Disney World sous-chef role advertises $68,600–$91,900 annually. The examined electrician and HVAC roles each advertise $29.59 per hour. Those figures concern specific work; they are neither company averages nor offers made to an actual candidate. [S105, S108, S111]
• Read benefits as applicable terms: The public benefits overview lists health, leave, retirement, childcare and education offerings, with classification and location limits. It is a starting point for comparison. The research did not obtain an individual plan quotation or establish that every offering applies immediately to every employee. [S016]
• Treat employee voice and legal outcomes precisely: The labor evidence differs by workforce. Disneyland’s Master Services employees ratified three-year agreements in July 2024. A separate employer update and union-hosted reporting describe Actors’ Equity first-contract bargaining during August 2026, including disagreement concerning proposed parental-leave terms. This research did not establish a later final agreement for that unit. [S020–S022, S035]
• Check the authority behind a senior title: The sampled Senior Manager, Investor Relations description explicitly identifies an individual-contributor role. A launch-readiness program manager is expected to coordinate across groups and influence work without relying on formal authority. A title alone therefore supplies an incomplete picture of leadership scope. [S102, S104]
• Prepare for the real requirements and interview rules: Entry conditions are varied. The electrician posting makes a trade license preferred; the HVAC posting requires EPA Universal certification. The ESPN talent-producer description requires a high-school credential while treating a bachelor’s degree as preferred. Read each requirement rather than assuming that every Disney route requires a degree or that experience overrides a mandatory credential. [S103, S108, S111]
• Make the decision about work you can actually evaluate: Disney’s breadth gives professionals many different possibilities to investigate. It also makes borrowed assumptions risky. An impressive parent-company result, a selected employee story or an ambitious technology announcement cannot resolve the terms of a specific position.
• Research note: This article derives from MyTopMatch research edition DIS-US-1.0, researched September 19, 2026, primarily for U.S. employment. The dossier addresses 25 factors using 48 source records. Thirteen coherent official descriptions were examined: twelve advertised roles/programs and one explicit future-interest listing. Nine additional descriptions were inaccessible, and a mixed-identity record was excluded. The sample is non-statistical and application acceptance was not tested. Sources include company disclosures, independent reporting, labor-party material, legal records and selected employee accounts. No original interviews, applications, benefit enrollments or Link integration occurred. Volatile facts require rechecking before use. Published with owner approval. The research limitations above remain applicable.

VERIFIED: Publicly visible publication returned by the existing publication store allowlist. Reviewed 2026-09-30.

• Overview: Eli Lilly and Company is growing at a scale that changes the career conversation. Revenue rose from $34.124 billion in 2023 to $65.179 billion in 2025, and the company reported $22.974 billion of revenue in the second quarter of 2026. In August, Lilly raised full-year 2026 revenue guidance to $85-$87 billion. [S001, S003]
• Follow the business that funds the role: Lilly's current financial strength provides meaningful context. In the first six months of 2026, the company generated $16.023 billion of operating cash flow and spent $5.259 billion on property and equipment. It also paid heavily for acquisitions and carried $54.9 billion of total debt at June 30, up $12.4 billion from year-end 2025. [S002]
• Manufacturing expansion can create unusually broad roles: The manufacturing build-out is one of the strongest employment signals in the research. Lilly's current U.S. plans span active pharmaceutical ingredients, injectable medicines, devices and genetic medicines. Houston's new facility will use machine learning, AI, digitally integrated systems and advanced data analytics, according to Lilly. [S023-S025]
• Remote does not describe the whole working week: Lilly's general recruitment guidance says roles classified as flexible combine onsite and offsite work, with the majority of time expected onsite. Individual positions can differ substantially. [S016]
• Compensation ranges are useful only when the boundaries stay attached: Current official postings provide concrete U.S. base-pay examples. The Richmond industrial hygienist lists $65,250-$169,400. The Indianapolis community-engagement associate director lists $132,000-$193,600. The Houston manufacturing associate director lists $123,000-$180,400. A Boston or Indianapolis computational-biology role lists $166,500-$266,200. The remote senior legal-director role lists $199,500-$321,200. [S101, S104-S105, S107, S109]
• The U.S. benefits package deserves precise eligibility questions: Lilly's U.S. benefits summary effective January 1, 2026 lists a pension after five years of service, up to a 6% 401(k) company match, and $10,000 in annual education and tuition assistance. Its life-benefits summary lists 3-6 weeks of vacation based on service, up to 19 paid holiday and shutdown days, and substantial parental-leave provisions. [S012-S013]
• Learning is visible. Access during the real workload still matters.: Lilly reports substantial learning activity. In 2025, employees averaged 85 total training hours across company learning platforms, with about 82 hours focused on technical and compliance topics and 3 on development learning. Lilly also launched a private AI coaching platform available to all employees. More than 13,900 employees viewed development content. [S015]
• AI is already part of the work: Lilly's AI story reaches beyond a technology pilot. The company describes LillyPod, powered by NVIDIA infrastructure, as part of a broader scientific AI capability. Its San Francisco plans include a Lilly-NVIDIA co-innovation lab. The Houston manufacturing site is designed to embed AI and advanced analytics, and current computational-biology work explicitly calls for AI/ML methods in target discovery. [S025-S027, S109]
• Culture and management still require team-level diligence: Lilly's 2025 engagement survey reported a 78% response rate. Among respondents, 95% said their work contributes to Lilly's purpose, 88% rated leaders highly for communicating physical-safety expectations, and 84% said teams effectively overcome barriers. Lilly also reported 9% total turnover, up from 7% in 2024. [S010]
• Judge the opportunity by the work you will be able to prove: Lilly's growth can create meaningful career experience in greenfield manufacturing, clinical development, computational biology, regulated technology, medical affairs, legal policy and cross-functional governance. The future value of that experience depends on what the role lets a professional own.
• Research method and limitations: This article derives from a 25-factor public-source investigation using SEC filings, official Lilly investor/careers/sustainability materials, government records, independent reporting and limited employee-review evidence. Ten detailed U.S. official job pages were inspected as a non-statistical sample. Active-at-check refers only to the state observed on September 23, 2026. The sample is not Lilly's complete vacancy inventory and does not establish a hiring trend. Employee-review accounts are attributed experiences, not representative workforce findings. No employee interviews, applications, publication actions or Link integration occurred during the research assignment.

VERIFIED: Publicly visible publication returned by the existing publication store allowlist. Reviewed 2026-09-30.

• Overview: A career decision about GE Aerospace should begin with the work a person would actually join. A manufacturing engineer, a machining apprentice, an experienced systems specialist and a corporate manager can encounter different opportunities inside the same organization. The business has substantial operating demand. Its development routes include identifiable training and assignments. Public evidence about staffing, management, pay progression and work arrangements is less consistent at the individual-team level. [S04; S12; S20; C012; C049; C058]
• Start with the right company: GE Aerospace is the operating identity of General Electric Company, the publicly traded parent whose shares continue on the New York Stock Exchange as GE. GE HealthCare and GE Vernova are separate companies following their respective separations. Older descriptions of “working at GE” can therefore refer to businesses and policies that fall outside today’s aerospace employer. [S01, cover; S06; C001–C002]
• Understand what is driving the work: GE’s second-quarter 2026 release reported $16.5 billion in orders and a backlog exceeding $210 billion. Its first-half engine deliveries increased from the comparable prior-year period. These are company-reported operating measures, not a count of open jobs. They help explain why manufacturing capacity, service delivery, supplier performance and engineering execution deserve attention in a career assessment. [S04, p.1; C012]
• Ask how the team turns demand into manageable work: The company presents FLIGHT DECK as its lean operating model, organized around safety, quality, delivery and cost. That provides a useful starting point for an interview. The next step is to ask for a recent example of how the team applied those priorities when a delivery commitment conflicted with a technical concern. [S16; C023]
• Evaluate the compensation package that actually applies: The most specific public progression evidence concerns a defined bargaining population. IUE-CWA’s July 2025 ratification announcement described a four-year agreement with compounded wage-rate increases totaling 16.9%, plus cost-of-living provisions. It also described improved leave. GE’s corresponding announcement identified approximately 2,200 covered employees at specified locations. Those terms should remain attached to that population. [S23–S24; C035–C036]
• Look closely at the route into the company: GE Aerospace has concrete training examples. Its August 2026 Wilmington update reported more than 80 apprenticeship graduates since the program began in August 2025. The described model combines paid full-time employment, roughly eight weeks of instruction and mentored workplace learning through a local partnership. The reported completions are company figures, not an independently audited outcome study. [S12; C049]
• Digital experience has value when responsibility is clear: GE Aerospace describes workplace AI applications in engineering knowledge, manufacturing or inspection, and commercial activity. Its published principles emphasize reliability, traceable data and human responsibility. These statements identify areas to investigate; they do not establish that every team has deployed the same tools or achieved measured productivity gains. [S13; C053–C054]
• Verify the opportunity before committing: The most important research limitation concerns current openings. Sixteen distinct requisitions were examined through official pages and the recruiting guide. Twelve retrieved pages displayed closure messages; four guide-linked lookups returned no usable job body. Zero active full postings were verified. A rendering limitation may explain some results, so this finding cannot be translated into “GE Aerospace has no vacancies.” [S20; S35; S42–S57; C058; C068]
• Research and limitations: This article is derived from a 25-factor public-source dossier researched on September 20, 2026. It uses official filings, employer and program materials, a union announcement, independent reporting and a small, non-statistical set of employee/candidate accounts. No employees were interviewed or contacted. Review identities were not authenticated. Current posting access was limited, individual compensation and benefit documents were unavailable, and a complete establishment-level labor, safety and court-disposition inventory was not established. Inclusion is not an employer recommendation or an individual outcome prediction.

VERIFIED: Published public company-report registry; findings remain attributed to the report. Reviewed 2026-09-30.

• Overview: Research as of September 12, 2026. U.S. employment focus. Alphabet consolidated data and Google-specific job evidence are distinguished. This page contains the complete article followed by the complete 25-factor dossier.
• Read the qualifications before interpreting the level: Career-stage labels can help organize a search, but they cannot replace the required experience. The mechanical facilities role in this sample is labeled Early while requiring relevant technical preparation and industrial experience. It also describes physical and nonstandard coverage requirements. That is a different starting point from assuming “entry level” means no prior work. [S021]
• A training opportunity can have unexpected exclusions: The five U.S. apprenticeships examined cover digital marketing, data analytics, UX design, IT and project management. Their descriptions identify a February 2027 start, an eighteen-month program and forty-hour weekly commitment. All five list September 21, 2026 as the application deadline. Availability and acceptance were not tested. [S022–S026]
• Find the business commitment behind the vacancy: Google operates within Alphabet, whose financial statements and employee counts cover a wider organization. A candidate should distinguish parent-company strength from the conditions attached to a particular Google role. [S001, S002]
• Establish what the person will actually control: Several sampled roles involve cross-functional delivery, customer influence or executive communication. The senior product manager and data-center deployment program manager describe substantial responsibilities. Their public descriptions do not establish every direct report, budget or decision right. [S029, S033]
• “Hybrid” and “remote” need their context: The laptop finance description calls the position a hybrid of financial planning and technical analytics. That phrase describes the work. It does not offer hybrid attendance. Likewise, helping remote users in an IT program does not establish permission for the employee to work from home. [S019, S025]
• Separate the compensation components: Google’s salary-help documentation explains that U.S. base ranges are shaped by role, level and location, with individual placement determined by additional job-related factors. The current sampled descriptions separately display bonus targets. Neither source provides an actual offer for the reader. [S016]
• AI preparation should demonstrate judgment: The role evidence makes AI relevant beyond model research. The FP&A Hub describes automation in finance processes. Trust and safety calls for human judgment within AI-supported operations. The Mandiant analyst requires experience with agentic systems and their security concerns. [S020, S028, S030]
• Check benefits and employee protections in their actual terms: The trust-and-safety listing includes an explicit benefit notice for eligible U.S. employees. It identifies leave and retirement provisions, among other benefits. Eligibility and governing plan terms remain important; a supplier assignment, temporary program and regular employee role should not be treated as interchangeable. [S028, S009]
• Ask what this role will let you demonstrate next: A career opportunity is valuable through the work a person can do, the support available to do it and the capabilities they can develop. Employer recognition may attract attention, but this research did not measure a brand premium or guarantee future placement.
• Research note: This article draws on a companion 25-factor dossier, 35 source records and seventeen official U.S. role descriptions inspected on September 12, 2026. The purposive sample is not representative of all Google hiring. Five descriptions have future closing dates; twelve expose none. No applications, interviews, enrollments or representative employee survey were conducted. Relevant Alphabet annual and interim statements and Curley primary documents were inspected. The latest September ad-tech ruling and certain general candidate-policy pages were unavailable, as identified in the dossier. Actual offers, current internal procedures and Link integration remain untested. This research edition is published with owner approval; its stated evidence limits remain in force.
• S001: Alphabet 2025 Form 10-K. Alphabet Inc. / SEC. Publication date: not established. Event/effective reference: 2026-02-04. Period: Calendar years ended December 31, 2023–2025; year-end 2025 workforce. Accessed: 2026-09-12.
• S002: Alphabet second-quarter 2026 Form 10-Q. Alphabet Inc. / SEC. Publication date: not established. Period: Quarter and six months ended June 30, 2026; June 30 balances. Accessed: 2026-09-12.
• S003: Alphabet announces second-quarter 2026 results. Alphabet Inc. / SEC exhibit. Publication date: 2026-07-22. Period: Quarter ended June 30, 2026. Accessed: 2026-09-12.
• S005: Alphabet Workers Union statement on expanded VEPs. Alphabet Workers Union. Publication date: 2026-02-12. Event/effective reference: 2026-02-10. Accessed: 2026-09-12.
• S006: Google lays off hundreds of employees in Android, Pixel group, report says. Reuters. Publication date: 2025-04-11. Period: April 2025 reported development. Accessed: 2026-09-12.
• S007: Google offers buyouts to employees in search and other teams. The Verge. Publication date: 2025-06-10. Accessed: 2026-09-12.
• S008: Google Code of Conduct. Alphabet / Google. Publication date: not established. Accessed: 2026-09-12.
• S009: Google Supplier Code of Conduct. Google. Publication date: not established. Accessed: 2026-09-12.
• S010: Curley v. Google LLC: Order granting final approval of settlement. U.S. District Court, N.D. California; copy on settlement administrator site. Publication date: 2026-05-14. Event/effective reference: 2026-05-14. Accessed: 2026-09-12.
• S011: Curley v. Google LLC: filed settlement agreement. Parties to Curley litigation; administrator-hosted filed agreement. Publication date: 2025-05-08. Accessed: 2026-09-12.
• S012: Curley settlement important dates. Curley settlement administrator. Publication date: not established. Event/effective reference: 2026-05-14. Period: Administration timetable visible September 12, 2026. Accessed: 2026-09-12.
• S013: Curley settlement administration status. Curley settlement administrator. Publication date: not established. Period: Status displayed September 12, 2026. Accessed: 2026-09-12.
• S016: Salary ranges in US-based role postings. Google Careers Help. Publication date: not established. Accessed: 2026-09-12.
• S019: Financial Analyst II, Laptop, Tablets and Enterprise. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S020: Finance Analyst, Financial Planning and Analysis Hub. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S021: Data Center Facilities Technician I, Mechanical. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S022: Digital Marketing Apprenticeship, February 2027 Start. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S023: Data Analytics Apprenticeship, February 2027 Start. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S024: User Experience Design Apprenticeship, February 2027 Start. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S025: Information Technology Apprenticeship, February 2027 Start. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S026: Project Management Apprenticeship, February 2027 Start. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S028: Trust and Safety Analyst, Developer Experience and Ecosystem Programs. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S029: Senior Product Manager, App Ads Measurement and Ecosystem. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S030: Senior Analyst, Mandiant Threat Intelligence Services. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S032: New Business Sales Account Strategist, Onboarding, Google Customer Solutions. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S033: Technical Program Manager II, Data Center Deployment, Cloud Networking. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S034: Customer Engineer I, Platform, SMB, Google Cloud. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S035: Software Engineer III, Engineering Productivity, Pixel. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• A 25-factor employer and career intelligence dossier: MYTOPMATCH | COMPANY RESEARCH REPORTS | RESEARCH EDITION 1.0 Research as of September 12, 2026 | U.S. employment focus PUBLICATION EDITION | OWNER-APPROVED RELEASE
• Executive assessment: Google offers several different career propositions, and the entry requirements can be less intuitive than the title. The inspected sample includes mechanical infrastructure, finance, customer sales, cloud engineering, product management, trust and safety, research and five apprenticeship tracks. An “Early” facilities position asks for two years of relevant industrial experience. A Customer Engineer I position carries a “Mid” experience label. The UX apprenticeship says portfolios will not be reviewed. These distinctions can change both the decision to apply and the appropriate preparation. [S019–S035]
• Organization and research boundaries: Alphabet Inc. is the publicly traded Delaware parent, with principal executive offices at 1600 Amphitheatre Parkway in Mountain View, California. Its listed share classes include GOOGL and GOOG on Nasdaq. The financial reporting distinguishes Google Services, Google Cloud, Other Bets and Alphabet-level activities. Those reporting categories should not be mistaken for a candidate’s employer, benefit plan or managerial reporting line. [S001, S003]
• Leadership and organizational direction: The current official announcement identifies Sundar Pichai as CEO of Google and Alphabet. It describes Demis Hassabis becoming chair of Google DeepMind and chief scientist of Alphabet, and Koray Kavukcuoglu stepping up to senior vice president of DeepMind, reporting to Pichai. It also describes Jeff Dean and Sanjay Ghemawat launching an independent public benefit corporation with Google as a founding investor and cloud partner. The page’s exact publication date was not exposed. These are the announcement’s named changes, not an independently checked map of every team or a basis for attributing motives. [S004]
• Selected chronology: The GFiber transaction described in the quarterly filing remained a prospective transaction in the evidence examined. The current DeepMind announcement is included without an invented event date. Publication dates, measurement periods, effective dates and dates of access remain separate in the JSON. [S002, S004]
• Methodology and evidence limits: The main workforce and operating window is September 12, 2024 through September 12, 2026. Financial comparison uses calendar years 2023–2025 and the June 2026 interim period. Research prioritized official filings, actual employer descriptions, public policies, court and agency material, and relevant independent or worker-representative reporting. Relevant annual statements and the auditor opinion were inspected, as were the interim statements and selected acquisition, debt, workforce and legal disclosures. This is employer research, not an independent financial audit. [S001–S018]
• Three completed years on a comparable basis: Amounts are USD millions. These are Alphabet consolidated calendar-year results, not Google-only U.S. results. Annual statements and the February 4, 2026 auditor opinion were inspected. Free cash flow is derived here as operating cash flow less cash purchases of property and equipment. It is a non-GAAP analytical measure, not cash available after every obligation. [S001]
• Latest interim period and balance-sheet scope: Sources: unaudited interim filing and release. The liquidity sum is 55.911 + 186.563 = 242.474 billion. The six-month cash-flow calculation is 84.859 − 80.598 = 4.261 billion. Pretax investment effects cannot simply be subtracted from after-tax earnings to invent “underlying net profit.” Securities, cash and proceeds from financing also must not be treated as equivalent evidence of recurring customer cash generation. [S002, S003]
• Evidence coverage across the 25 factors: Coverage describes the available evidence, not employer quality.
• F01. Financial resilience: Alphabet’s annual results show increasing revenue, operating income and operating cash flow over the three completed years. Investment spending also increased markedly. The latest six-month reconciliation therefore provides a different view from the quarterly earnings headline. These are complementary measures of capacity, investment and reported results, rather than interchangeable estimates of what is available to retain a particular team. The tables above preserve the units and periods. [S001–S003]
• F02. Competitive position: The filings distinguish advertising and other Google Services activity from Cloud and Other Bets. Cloud’s reported quarterly expansion is evidence of activity in that segment. Search and ad-tech proceedings create separate commercial and operating considerations. The September ad-tech outcome reported by AFP postdates the interim filing’s earlier procedural account; the latest underlying ruling was not available for inspection. The research therefore avoids both a stale “still awaiting remedies” statement and an unsupported claim that all regulatory uncertainty has ended. [S001–S003, S014, S015]
• F03. Strategic direction: The Q2 filing records completed March acquisitions of Intersect and Wiz, using adjusted closing consideration rather than simply repeating announcement prices. It describes the GFiber transaction as prospective, with a retained interest and expected later completion. Current leadership material and the role sample also show attention to AI development, deployment and support. A filed transaction, an announced structure and a particular employee’s work are three different levels of evidence. [S002, S004, S020, S028, S030, S031]
• F04. Workforce stability: Consolidated employee growth and targeted workforce changes can occur together. The annual and interim counts include the whole Alphabet reporting population. Reuters described a particular Platforms & Devices reduction, while AWU subsequently described voluntary exit programs in named organizations. Those sources have different scope and methods. They do not support a reconstructed total of unique U.S. departures, an attrition rate or a claim that each eliminated role was replaced by AI. [S001, S003, S005, S006]
• F05. Leadership continuity and execution: The current official leadership message describes substantive changes within DeepMind and the relationship with independent research activity. It identifies new responsibilities rather than providing evidence that every affected team has already implemented them. The exact publication date was not exposed and has not been invented. The financial release provides a separate dated statement of operating results; it should not be used as proof that a particular leadership arrangement caused those results. [S003, S004]
• F06. Management and team variation: Several descriptions emphasize cross-functional work, executive communication and coordination of dependencies. Those statements establish the expected mode of contribution, but provide little direct evidence about the particular manager’s feedback, staffing capacity or handling of disagreement. No representative manager-quality dataset was assembled. The conduct code supplies formal expectations, while the role itself supplies a starting point for investigating how support works in practice. [S008, S019, S029, S033]
• F07. Operating culture: Google’s code describes expectations concerning integrity, respect, reporting and nonretaliation. Those are meaningful stated standards. The worker-representative account of exit programs supplies a different perspective on organizational change. Neither source can establish how every team operates, and a policy’s existence cannot settle the experience of an employee who believes it was not followed. The dossier retains those different forms of evidence without forcing them into an overall culture rating. [S005, S008]
• F08. Workload and expectations: The facilities role describes physical tasks and rotating or nonstandard coverage. Apprenticeships specify forty-hour weeks. Customer-facing and software roles describe responsibilities that may involve urgent questions or operational dependencies, but do not establish their actual frequency. The sampled finance description combines recurring planning with analytics; that combination does not reveal a measured hours distribution. No firmwide claim about typical working hours is supported by this sample. [S019, S021–S026, S030, S035]
• F09. Work arrangements: The Mandiant record explicitly identifies remote eligibility in Virginia, Massachusetts and New York. Other descriptions list office or site locations without establishing an approved attendance pattern. Earlier reporting on Knowledge & Information concerned a specific local-remote population. These pieces cannot be combined into a uniform September 2026 rule. The term “hybrid” in the laptop finance role describes its blend of responsibilities, while remote-user support in IT training describes whom the apprentice helps. [S007, S019, S025, S030]
• F10. Ethics, employee voice, and fair treatment: The code supplies reporting and nonretaliation commitments. The Curley agreement defines a class of Black/Black+ employees in specified California and New York employment periods ending in 2023, within job levels 3–6 and subject to exclusions. The Curley court order approved a $50 million class settlement on May 14, 2026, without establishing the alleged discrimination as an admitted or adjudicated merits finding. Class claims were dismissed with prejudice; remaining individual claims left the action open. Administrative review and distribution are another process. The administrator lists a July 6 claim deadline and no established distribution date in the current notice. [S008, S010, S011, S012, S013]
• F11. Base compensation: Google’s help page explains that displayed U.S. ranges reflect new-hire base targets across applicable locations, with actual placement depending on role-related factors. Current sampled layouts separately display bonus targets. The unqualified dollar bands are preserved in the appendix; their period is not explicit in the inspected layouts. That matters especially for hourly apprenticeships. No calculation here treats those bands as actual hourly pay, annual offers or total compensation. [S016, S019–S035]
• F12. Bonus, equity, and variable pay: The records expose substantial differences in target incentives. The sampled sales strategist displays a 35% bonus target; Customer Engineer I displays 42.86%; the senior product manager displays 20%. Most other professional examples display 15%, while the apprenticeships show 0%. These are labels in individual descriptions, not historical attainment rates, universal plans or promises that all components will be offered. The basis and conditions of each target need confirmation. [S022–S026, S029, S032, S034]
• F13. Benefits and leave: A benefit notice in the trust/safety description identifies eligibility-dependent U.S. coverage, including a 401(k) match, twenty vacation days during the described initial tenure period and eighteen weeks of baby-bonding leave. It also lists health-related coverage and a separate maternity-leave combination. These are published recruiting terms for the stated eligible population. They do not establish an individual’s enrollment, applicable costs, qualification or actual ability to use the benefit. [S028]
• F14. Location and relocation implications: The sample includes offices in several regions, a physical Nevada facilities role and a remote-eligible role limited to named states. Apprenticeships offer particular placement cities. One mechanical-role search extract used McCarran while the opened detail named Reno, demonstrating why an external search label is insufficient to settle the worksite. Final placement, relocation support and travel remain terms to confirm with the employer. [S021–S026, S030]
• F15. Compensation progression: Public base ranges describe recruiting targets, rather than a longitudinal picture of employee pay. Alphabet’s human-capital and compensation discussion supplies general context, and the Curley agreement includes scoped transparency measures. Neither provides a current distribution of merit increases, the probability of a promotion or the amount a particular employee can expect after joining. The public career-stage label also should not be converted into an undisclosed internal salary level. [S001, S011, S016]
• F16. Promotion and internal mobility: The Pixel engineering description refers to opportunities to switch teams and projects as the business and individual develop. That is public recruiting language worth exploring. It does not establish a vacancy, minimum tenure, manager-release condition, internal selection rule or observed transfer success rate. The sample provides no representative promotion dataset. New organizational announcements can change the landscape, but they do not guarantee that an employee can move into any business they find interesting. [S035, S004]
• F17. Learning and development: The five U.S. apprenticeship descriptions provide unusually concrete program design: a future February 2027 start, eighteen-month duration and full-time weekly commitment. Their field-specific restrictions are equally important. These routes generally require limited related experience and exclude current or completed related-field degrees. They should not be advertised as universally suitable for anyone seeking a career change. A person with a relevant degree may need a different entry route. [S022–S026]
• F19. AI adoption and job redesign: AI is visible in the sampled work beyond research engineering. The FP&A Hub describes automation within finance processes. Trust and safety pairs AI-supported operations with human judgment and quality calibration. The Mandiant analyst requires agentic-system security experience, while customer engineering includes related platform knowledge. These are specific employer expectations and proposed duties. They do not measure how well every tool works or what share of the company’s work has been automated. [S020, S028, S030, S034]
• F20. Future career value: MyTopMatch analysis: the sampled work can develop different kinds of transferable evidence: critical-facility maintenance, financial automation, customer diagnosis, product judgment, quality controls, research and technical program delivery. This is a reasoned reading of described responsibilities. The report does not measure a Google-brand wage premium, a future placement rate or a guaranteed destination after employment. [S019–S021, S028–S035]
• F21. Current hiring activity: The seventeen official descriptions establish what was visible during research. Five apprenticeship tracks have a September 21 deadline, and twelve sampled descriptions expose no deadline. Fifteen actual detail blocks display Apply, while two apprenticeships expose instructions without that standalone label in the parsed content. Neither presence nor absence of that label settles whether the workflow accepts a candidate today. No submission or account-based acceptance check was attempted. [S019–S035; sample classification]
• F22. Entry requirements and accessibility: The technician and sales examples show why a career-stage badge is insufficient: both “Early” records require related experience. Customer Engineer I has a “Mid” badge and four years of relevant customer-facing work. Several professional descriptions permit equivalent practical experience, while the apprenticeships restrict related degrees and prior field experience. These differences are part of the entry proposition, rather than inconsistencies to remove by guessing the employer’s intended level. [S021–S026, S032, S034]
• F23. Recruitment and interview process: The clearest process evidence is role-specific. The UX apprenticeship explicitly says portfolios will not be collected or reviewed. The Pixel engineering record notes that interviews occur in person in most instances. Other sampled descriptions do not expose a universal stage sequence or decision deadline. The general hiring page returned navigation rather than substantive process text, so remembered hiring folklore has not been inserted to fill that gap. [S024, S035]
• F24. Networking and referral access: Google’s help documentation describes criteria-based job alerts with daily, weekly or monthly cadence. That is a public discovery mechanism, not a relationship or referral. The research did not create an alert, test delivery, obtain an introduction or establish an internal employee-referral rule. Public recruiting guidance also warns about impersonation; a familiar brand or displayed sender address alone is insufficient to authenticate a particular message. [S017, S018]
• F25. Onboarding and early success: The apprenticeships describe virtual initial onboarding followed by a structured, location-specific full-time program. Those statements concern program design. They do not establish actual support quality, permanent conversion or an individual’s readiness at a particular week. The Google code also identifies role-required compliance learning. Separately, “Onboarding” in the sales strategist title describes work with customers, not evidence about the employee’s own induction. [S008, S022–S026, S032]
• T01. Business expansion can coexist with a changing personal mandate: The strongest counterevidence to a blanket decline narrative is the reported business activity and operating results. The strongest counterevidence to blanket employment security is the specific record of targeted exits and organizational redesign. The two answer different questions. Acquisitions also affect workforce totals, making net consolidated growth particularly unsuitable as a substitute for a U.S. hiring measure. [F01, F03, F04; S001–S006]
• T02. More responsibility and more authority are different opportunities: Cross-functional product and deployment roles can develop substantial judgment and influence. Their descriptions do not establish direct reports, spending authority or control over every dependency. The potential benefit is the complexity of the work. The concern to investigate is whether its resources and evaluation criteria match the accountability being assigned. [F06, F18, F20; S029, S033]
• T03. A training route can be accessible in one dimension and restrictive in another: The apprenticeship descriptions do not require the same prior professional record as the experienced-hire roles. They nevertheless impose real field-degree, experience, location and timing conditions. The UX instruction concerning portfolios demonstrates that conventional preparation advice can be inappropriate even when it sounds professionally sensible. [F17, F22, F23; S022–S026]
• T04. A higher target component needs a more careful compensation discussion: The differing bonus targets make it possible for two positions with similar base bands to have different reward structures. They do not reveal the target’s basis, actual attainment, conditions or volatility. A numerical comparison that adds target amounts as guaranteed cash would conceal those unresolved inputs. [F11, F12; S016, S029, S032, S034]
• T05. Flexibility can be specific without being universal: The Mandiant description supplies positive evidence of a geographically limited remote route. Earlier office-return reporting supplies a different business-specific observation. Other uses of “hybrid,” “remote support” or “virtual onboarding” concern different aspects of the job. Treating them as interchangeable would turn language into a benefit that was never offered. [F09, F14; S007, S019, S025, S030]
• T06. Formal employee protections require attention to scope and time: The code, settlement order and agreement supply different kinds of evidence about employee treatment and dispute mechanisms. The court’s approval is not a merits finding. The agreement’s provisions have their own durations, and current administration is not the same as court disposition. Historical wording should not be carried forward into a September employment claim without verification. [F10, F15; S008, S010–S013]
• T07. AI-related work can increase the need for demonstrable judgment: The sampled finance, trust/safety, customer and security work links AI to practical tasks and responsibilities. That supports preparing examples of validation, error handling and appropriate human escalation. It does not establish an achieved productivity rate or a probability that a profession disappears. [F18–F20; S020, S028, S030, S034]
• Career-situation decision lenses: These are general applications of the evidence. They do not classify a real member or recommend employing or rejecting anyone.
• Questions to resolve through the decision process: Q01–Q25 appear beside their corresponding factors and in the evidence JSON. The sequence below is original decision guidance, not Google’s recruiting process.
• Contradictions, unknowns and refresh priorities: The structured contradiction register contains fifteen scoped issues. They include genuine unresolved fields, different populations and changes across dates. Not every apparent conflict represents a factual error. Resolving the scope is often more useful than choosing one broad statement and discarding the other.
• What this research does not establish: Current application acceptance, legal payroll entities for individual offers, internal grade mappings, actual bonus attainment, individual benefit eligibility, representative manager quality and future career outcomes remain unresolved. No private candidate or employee information was collected. No numerical confidence score has been assigned to compensate for those gaps.
• Refresh plan: Historical findings can remain useful when accurately dated. Time-sensitive claims need a fresh check before use in an application, offer discussion or new publication edition. Reopening an old source does not make every statement inside it current. These are maintenance recommendations only. No recurring monitoring, notification or future action has been scheduled.
• Link usage boundary: The accompanying JSON is a proposed public-employer research record, not a tested production integration. Future personalization belongs within the member’s protected, authorized context. Preserve the company entity, role, source, date and uncertainty for each claim. A question should remain unanswered until supported; an inference should not become a fact merely because it appears in a personalized response.
• J01. Financial Analyst II, Laptop, Tablets and Enterprise: Requisition 113792401729823430 | Google | Stage: Mid. [S019]
• J02. Finance Analyst, Financial Planning and Analysis Hub: Requisition 118618504008999622 | Google | Stage: Mid. [S020]
• J03. Data Center Facilities Technician I, Mechanical: Requisition 106249206502433478 | Google | Stage: Early. [S021]
• J04. Digital Marketing Apprenticeship, February 2027 Start: Requisition 144076269821010630 | Google | Stage: Intern & Apprentice. [S022]
• J05. Data Analytics Apprenticeship, February 2027 Start: Requisition 132315893450318534 | Google | Stage: Intern & Apprentice. [S023]
• J06. User Experience Design Apprenticeship, February 2027 Start: Requisition 79970343875158726 | Google | Stage: Intern & Apprentice. [S024]
• J07. Information Technology Apprenticeship, February 2027 Start: Requisition 127161382939304646 | Google | Stage: Intern & Apprentice. [S025]
• J08. Project Management Apprenticeship, February 2027 Start: Requisition 100966617919169222 | Google | Stage: Intern & Apprentice. [S026]
• J09. Product Marketing Manager, Social Growth, Ads Marketing: Requisition 137298025448907462 | Google | Stage: Mid. [S027]
• J10. Trust and Safety Analyst, Developer Experience and Ecosystem Programs: Requisition 128322892419998406 | Google | Stage: Mid. [S028]
• J11. Senior Product Manager, App Ads Measurement and Ecosystem: Requisition 143571177372033734 | Google | Stage: Advanced. [S029]
• J12. Senior Analyst, Mandiant Threat Intelligence Services: Requisition 99057174243615430 | Google | Stage: Mid. [S030]
• J13. Senior Research Scientist, Gemini Omni, DeepMind: Requisition 89640497101841094 | DeepMind | Stage: not exposed. [S031]
• J14. New Business Sales Account Strategist, Onboarding, Google Customer Solutions: Requisition 103999189100176070 | Google | Stage: Early. [S032]
• J15. Technical Program Manager II, Data Center Deployment, Cloud Networking: Requisition 75597167372182214 | Google | Stage: Mid. [S033]
• J16. Customer Engineer I, Platform, SMB, Google Cloud: Requisition 143133114330161862 | Google | Stage: Mid. [S034]
• J17. Software Engineer III, Engineering Productivity, Pixel: Requisition 111909092393394886 | Google | Stage: Mid. [S035]
• S001: Alphabet 2025 Form 10-K. Alphabet Inc. / SEC. Publication date: not established. Event/effective reference: 2026-02-04. Period: Calendar years ended December 31, 2023–2025; year-end 2025 workforce. Accessed: 2026-09-12.
• S002: Alphabet second-quarter 2026 Form 10-Q. Alphabet Inc. / SEC. Publication date: not established. Period: Quarter and six months ended June 30, 2026; June 30 balances. Accessed: 2026-09-12.
• S003: Alphabet announces second-quarter 2026 results. Alphabet Inc. / SEC exhibit. Publication date: 2026-07-22. Period: Quarter ended June 30, 2026. Accessed: 2026-09-12.
• S004: The next chapter of our AI momentum. Google / Sundar Pichai and Demis Hassabis. Publication date: not established. Accessed: 2026-09-12.
• S005: Alphabet Workers Union statement on expanded VEPs. Alphabet Workers Union. Publication date: 2026-02-12. Event/effective reference: 2026-02-10. Accessed: 2026-09-12.
• S006: Google lays off hundreds of employees in Android, Pixel group, report says. Reuters. Publication date: 2025-04-11. Period: April 2025 reported development. Accessed: 2026-09-12.
• S007: Google offers buyouts to employees in search and other teams. The Verge. Publication date: 2025-06-10. Accessed: 2026-09-12.
• S008: Google Code of Conduct. Alphabet / Google. Publication date: not established. Accessed: 2026-09-12.
• S009: Google Supplier Code of Conduct. Google. Publication date: not established. Accessed: 2026-09-12.
• S010: Curley v. Google LLC: Order granting final approval of settlement. U.S. District Court, N.D. California; copy on settlement administrator site. Publication date: 2026-05-14. Event/effective reference: 2026-05-14. Accessed: 2026-09-12.
• S011: Curley v. Google LLC: filed settlement agreement. Parties to Curley litigation; administrator-hosted filed agreement. Publication date: 2025-05-08. Accessed: 2026-09-12.
• S012: Curley settlement important dates. Curley settlement administrator. Publication date: not established. Event/effective reference: 2026-05-14. Period: Administration timetable visible September 12, 2026. Accessed: 2026-09-12.
• S013: Curley settlement administration status. Curley settlement administrator. Publication date: not established. Period: Status displayed September 12, 2026. Accessed: 2026-09-12.
• S014: US judge rejects bid to break up Google’s ad business. Agence France-Presse. Publication date: 2026-09-02. Event/effective reference: 2026-09-02. Accessed: 2026-09-12.
• S015: Department of Justice wins significant remedies against Google. U.S. Department of Justice. Publication date: 2025-09-02. Event/effective reference: 2025-09-02. Period: Page notes April 15, 2026 update. Accessed: 2026-09-12.
• S016: Salary ranges in US-based role postings. Google Careers Help. Publication date: not established. Accessed: 2026-09-12.
• S017: Create and manage email alerts. Google Careers Help. Publication date: not established. Accessed: 2026-09-12.
• S018: Google Job Offer Scam. Google Help. Publication date: not established. Accessed: 2026-09-12.
• S019: Financial Analyst II, Laptop, Tablets and Enterprise. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S020: Finance Analyst, Financial Planning and Analysis Hub. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S021: Data Center Facilities Technician I, Mechanical. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S022: Digital Marketing Apprenticeship, February 2027 Start. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S023: Data Analytics Apprenticeship, February 2027 Start. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S024: User Experience Design Apprenticeship, February 2027 Start. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S025: Information Technology Apprenticeship, February 2027 Start. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S026: Project Management Apprenticeship, February 2027 Start. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S027: Product Marketing Manager, Social Growth, Ads Marketing. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S028: Trust and Safety Analyst, Developer Experience and Ecosystem Programs. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S029: Senior Product Manager, App Ads Measurement and Ecosystem. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S030: Senior Analyst, Mandiant Threat Intelligence Services. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S031: Senior Research Scientist, Gemini Omni, DeepMind. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S032: New Business Sales Account Strategist, Onboarding, Google Customer Solutions. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S033: Technical Program Manager II, Data Center Deployment, Cloud Networking. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S034: Customer Engineer I, Platform, SMB, Google Cloud. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• S035: Software Engineer III, Engineering Productivity, Pixel. Google Careers. Publication date: not established. Period: Role display inspected September 12, 2026. Accessed: 2026-09-12.
• Explore Company Research Reports: Compare the research with the exact role, team and written terms you are considering. Open the MyTopMatch Company Research Reports collection using the navigation link below.

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

• Overview: Research as of September 23, 2026. U.S. employment with relevant global context.
• Growth provides a reason to investigate the role: Hilton Worldwide Holdings Inc. is the public parent behind the brand, headquartered in McLean, Virginia and listed on the NYSE as HLT. Its financial results describe the consolidated business, rather than the finances of every independently operated hotel. [S001]
• Read the operator's name as carefully as the title: The research sample included jobs at Hilton-branded properties attributed to Dimension Hospitality, Stanford Hotels, Encore Hospitality, Chartwell Hospitality and Driftwood Hospitality Management. They were not treated as a single payroll organization. One property's operating entity was not identified in the inspected description. [S101–S115]
• A strong workplace reputation still needs local context: Great Place To Work's profile, updated in August 2026, reports that 95% of the Hilton respondents represented describe a great workplace. It lists Hilton second in the 2026 U.S. Fortune 100 ranking and first in the 2025 global ranking. Those are meaningful findings within their own award and survey contexts. The inspected profile does not provide enough detail to treat the result as a measure of every worker at every Hilton-branded hotel. [S020]
• Translate the job into a working week: Hospitality titles can conceal very different schedules. The inspected kitchen and housekeeping descriptions include variable shifts and weekend or holiday work. Hotel-engineering descriptions support continuous operations. The Waikiki restaurant-manager copy expects substantial floor presence and open AM/PM availability. [S101–S103, S110–S111, S114]
• Compare pay without losing its boundaries: The sample supplies useful advertised pay examples. Dimension's Richardson Room Attendant page lists $16 per hour. Stanford's housekeeping description in Burlingame lists $26.78 per hour, while its Boca Raton front-desk copy lists $17.75. These are different roles, locations and working conditions; they do not form a controlled pay comparison. [S103, S105, S115]
• Benefits need an employer and an eligibility date: Hilton's public materials describe health, retirement, leave, family support, mental-health, education and travel benefits, subject to eligibility and employment terms. They should not be presented as a universal package for independently operated hotels. [S010–S011]
• Development becomes valuable when it reaches the assignment: Hilton's development offerings include a paid 24-month LAUNCH rotation and MentorcliQ mentoring. Its regional careers materials also describe a 10-week corporate internship and a nine-month Management Development Program. These are different routes with different populations; a program page does not establish that an intake is open or that every hire can participate. [S011, S013–S014]
• Ask what responsibility you will actually own: The leadership descriptions examined assign substantial work: account strategy, revenue forecasts, staffing, HR and engineering oversight. The Driftwood chief-engineer copy also makes clear that some budget decisions require general-manager or company approval. Broad accountability should therefore be compared with the authority and resources attached to it. [S109, S112–S114]
• Research method and limitations: This article derives from a 25-factor investigation using filings, official careers and program materials, direct operator postings, secondary job descriptions, survey-provider evidence, union records and independent reporting. Fifteen distinct U.S. descriptions were inspected on September 23, 2026: five direct operator pages, nine additional nonexpired secondary descriptions and one explicitly expired comparator. Fourteen pages displayed application links; no Hilton Oracle requisition was verified as accepting applications. This is a non-statistical sample, not the full vacancy inventory. Program access, benefits and work arrangements must be rechecked with the actual employer. No employees were interviewed, applications submitted or Link integration performed. Sources retain their original measurement dates.
• S001. 2025 Form 10-K: Hilton Worldwide Holdings Inc. via SEC EDGAR. Publication date: 2026-02-11. Cover; Items 1, 1A and 2; Human Capital pp. 9–10; financial statements pp. 60–63; debt, share compensation and segment notes.
• S004. Hilton Reports Second Quarter Results, 2026: Hilton Investor Relations. Publication date: 2026-07-28. Highlights; development; balance sheet and liquidity; 2026 outlook; comparative income statements and non-GAAP reconciliation.
• S009. Employment Disclaimer: Hilton Careers. Publication date: not disclosed. Hotel owner as actual employer; Hilton recruitment and management relationships.
• S010. Benefits: Hilton Careers. Publication date: not disclosed. Go Hilton; Thrive; health, family and development benefits; eligibility qualifier.
• S011. United States, Canada, Caribbean and Latin America Careers: Hilton Careers. Publication date: not disclosed. United States benefits; corporate internship and Management Development Program.
• S013. Early Career Paths: Hilton Careers. Publication date: not disclosed. Americas routes; LAUNCH and management development; region-specific apprenticeships.
• S014. Hilton Recognized as Top U.S. Hospitality Workplace, 2026: Hilton Stories. Publication date: 2026-04-01. Workplace ranking; LAUNCH; MentorcliQ; dated U.S. openings statement.
• S015. Hilton Education Benefit: Guild. Publication date: not disclosed. Fully funded selected programs; up to $5,250/year undergraduate funding; program conditions.
• S016. Hilton Announces New Education Benefit Through Partnership with Guild Education: Hilton Stories. Publication date: 2022-01-19. Launch eligibility for U.S. owned/managed hotels and corporate offices.
• S020. Working at Hilton: Certified Company Profile: Great Place To Work. Publication date: not disclosed. Updated August 2026; employee survey percentages; 2026 U.S. and 2025 global ranking entries.
• S022. San Francisco Hotel Strikes Conclude as Hilton Workers Vote to Ratify New Contract: UNITE HERE. Publication date: 2024-12-24. Hilton San Francisco Union Square and Parc 55; ratification and contract summary.
• S023. On Day 40 of Hilton Americas Hotel Strike, Workers Reach an Agreement: UNITE HERE. Publication date: 2025-10-10. Hilton Americas-Houston ratification; covered occupations; wage/workload provisions.
• S024. Houston Hotel Workers End 40-Day Strike with New Contract: Hotel Dive. Publication date: 2025-10-15. Contract ratification; union source; Hilton statement on good-faith negotiation.
• S026. Hilton Introduces the Hilton AI Planner: Hilton Stories. Publication date: 2026-03-10. March launch; FAQ describes availability to all visitors as of March 17 on desktop/tablet; beta status.
• S029. Hilton Completes Spin-off of Park Hotels & Resorts and Hilton Grand Vacations: Hilton Stories. Publication date: 2017-01-04. Three independent public companies after spin-offs.
• S101. Dishwasher: Dimension Hospitality. Publication date: 2026-09-09. Job heading; responsibilities; qualifications; compensation; application destination.
• S102. Cook: Dimension Hospitality. Publication date: 2026-09-09. Job heading; responsibilities; qualifications; compensation; application destination.
• S103. Room Attendant: Dimension Hospitality. Publication date: 2026-08-18. Job heading; responsibilities; qualifications; compensation; application destination.
• S104. Sales Manager: Dimension Hospitality. Publication date: 2026-08-24. Job heading; responsibilities; qualifications; compensation; application destination.
• S105. Guest Room Attendant / Housekeeper: Hcareers / named operator content. Publication date: 2026-09-08. Job heading; responsibilities; qualifications; compensation; application destination.
• S106. Housekeeper: Hcareers / named operator content. Publication date: 2026-09-08. Job heading; responsibilities; qualifications; compensation; application destination.
• S107. Data Analyst, Advanced Analytics: DataAnalyst.com / Hilton-labelled copy. Publication date: 2026-07-22. Job heading; responsibilities; qualifications; compensation; application destination.
• S108. Senior Manager, Content Strategy and Customer Engagement, All-Inclusive & Resorts: Growth Roles / Hilton-labelled copy. Publication date: not disclosed. Job heading; responsibilities; qualifications; compensation; application destination.
• S109. Director of Sales and Marketing: Hcareers / named operator content. Publication date: 2026-09-13. Job heading; responsibilities; qualifications; compensation; application destination.
• S110. Chief Engineer: Hcareers / named operator content. Publication date: 2026-08-12. Job heading; responsibilities; qualifications; compensation; application destination.
• S111. Restaurant Manager: Hcareers / named operator content. Publication date: 2026-09-03. Job heading; responsibilities; qualifications; compensation; application destination.
• S112. Director of Sales: Hcareers / named operator content. Publication date: 2026-09-09. Job heading; responsibilities; qualifications; compensation; application destination.
• S114. Chief Engineer: Hcareers / named operator content. Publication date: 2026-08-03. Job heading; responsibilities; qualifications; compensation; application destination.
• S115. Front Desk Agent: Hcareers / named operator content. Publication date: 2026-07-25. Job heading; responsibilities; qualifications; compensation; application destination.

VERIFIED: Publicly visible publication returned by the existing publication store allowlist. Reviewed 2026-09-30.

• Overview: A job description can be detailed and still leave a consequential question unanswered. One IBM cybersecurity analyst description reviewed for this article discusses a 24/7 operation with nights and weekends. Its shift field says general daytime. The difference matters to someone deciding whether to accept the job. It cannot be resolved by choosing whichever line sounds more attractive. [S106]
• Follow the business that will fund the role: International Business Machines Corporation is the public company behind IBM, headquartered in Armonk, New York. Its enterprise business spans Software, Consulting, Infrastructure and Financing. Those activities create different kinds of work and commercial exposure. An engineering vacancy, a client-delivery assignment and an internal support position should not be treated as interchangeable opportunities. [S001–S002]
• Investment can coexist with workforce reductions: IBM completed its HashiCorp acquisition in February 2025 and Confluent in March 2026. September brought a finalized government award of up to $1 billion for Anderon's quantum-foundry initiative in Albany. IBM identifies Anderon as an IBM company. These are substantive developments, although an award ceiling is not the same as funds already disbursed or jobs already filled. [S010–S013]
• Translate the description into a real working week: Travel requirements differ considerably in the inspected records. Consulting-related data and SAP descriptions permit up to 60% travel. A 2027 associate data-scientist description allows up to 100%. The system-support apprentice description says no travel and no reimbursable relocation. These are advertised conditions or ceilings, not measurements of a typical week. [S102, S105, S107, S109–S110]
• Read pay alongside employment classification: The inspected descriptions provide concrete compensation examples, but they are secondary advertisements rather than verified current offers. A quantum-software developer description for Yorktown Heights lists annualized base pay of $131,000–$226,000. A SOC analyst description covering Dallas and Austin lists $98,000–$182,000. Neither range supplies an expected bonus or an individual's likely offer. [S101, S106]
• The retirement discussion needs current terms: IBM's U.S. Retirement Benefit Account, or RBA, is particularly important for candidates relying on older descriptions of the company's benefits. It is a cash-balance component of IBM's qualified pension plan, with eligibility described for regular full- and part-time U.S. employees who meet a one-year service requirement. The arrangement provides monthly pay credits equal to 5% of eligible pay without requiring employee contributions. [S004, printed p. 106]
• Learning becomes valuable through an assignment: IBM reports 20.67 million employee learning hours worldwide in 2025 and an average of 80 hours per regular/full-time employee. These figures show reported activity. They do not establish 80 protected hours for every employee or prove that a course leads to promotion. [S028]
• AI changes tasks and expectations: IBM's AskHR material describes operational deployment, including more than 11.5 million interactions in 2024 and 94% containment of common questions. These are company-reported service measures for a particular period. They are not a percentage of HR employees replaced. The CHRO account also describes promotion and transfer workflows initiated through the system. [S020–S021]
• Investigate how the team handles difficult decisions: Public employee accounts contain both favorable and unfavorable experiences involving support, learning and pay. The eight excerpts reviewed here are not representative, and employment histories were not independently verified. IBM's global engagement results describe a different population and method. Neither source settles conditions under the prospective manager. [S028, S032]
• Research method and limitations: This article derives from a 25-factor public-source investigation using corporate filings, dated announcements, official careers materials, original legal records and limited independent and employee reporting. Eleven distinct U.S. role records were inspected: ten detailed secondary descriptions and one explicitly closed summary. No IBM requisition was verified as currently accepting applications in the official system. The sample is concentrated in technical and early-career roles and does not represent all IBM jobs. No employees were interviewed, no applications were submitted and no Link integration was performed. Volatile statements require rechecking before publication or a career decision. Sources retain their own dates; the research date does not make an older observation current.

VERIFIED: Publicly visible publication returned by the existing publication store allowlist. Reviewed 2026-09-30.

• Overview: MyTopMatch | Company Research Reports. Research as of September 12, 2026. U.S. employment focus; global financial and workforce measures are identified separately.
• Start with the business and its purpose: The firm's reporting structure distinguishes Consumer & Community Banking, Commercial & Investment Bank, Asset & Wealth Management and Corporate. The legal parent, JPMorgan Chase & Co., is also distinct from operating entities such as JPMorgan Chase Bank, N.A. and J.P. Morgan Securities LLC. These boundaries matter when interpreting role descriptions or benefits. [S002, S003]
• Read the responsibility behind the title: The sampled job descriptions provide a revealing contrast. One Senior Lead Software Engineer role includes team management. Another emphasizes hands-on work on a trading system. A wealth-product delivery Vice President role describes the need to influence across groups without direct authority. The titles alone do not reveal those differences. [S035-S037]
• Corporate strength does not explain every team decision: The latest completed year shows considerable financial capacity: JPMorgan Chase reported $182.447 billion in 2025 GAAP net revenue and $57.048 billion in net income. The report preserves significant items and the difference between reported and managed financial measures rather than combine them into a simplified employer score. [S001, S003]
• AI preparation should include judgment and control: The research found AI-related responsibilities outside a narrow model-building specialty. A workforce-design description considers how work is organized. Engineering and technology-risk descriptions emphasize approved tools, validation and human review. The firm's own Fence technical case study discusses guardrails for AI systems. These sources establish particular expectations and company-described practices, rather than a uniform requirement for every employee. [S030, S038, S039, S044, S015]
• Settle the schedule before comparing the offer: The public record includes a five-day office-return directive for hybrid employees in 2025 and continued leadership advocacy for in-person work in March 2026. Individual current exceptions were not verified. Branch descriptions add a separate consideration: evening or weekend coverage. [S021, S022, S034, S043]
• Keep base pay, conditional rewards and benefits separate: The sample contains hourly and annual pay ranges attached to different kinds of work. Several senior engineering copies advertise annual base pay of $175,750-$260,000 for specified locations. The asset-management analyst program copy shows $100,000-$110,000 for New York. These are advertised ranges, not actual offers or employee averages. [S035, S037, S038, S040, S042]
• Career routes are real, and their conditions matter: The official career material includes nontraditional software-engineering pathways and a ReEntry fellowship for professionals returning after an extended break. Other sampled programs have precise academic and graduation requirements. Broad career-access messaging should therefore be read alongside the conditions of the route being considered. [S012, S013, S041, S042]
• Ask how concerns are handled: Formal conduct commitments deserve scrutiny alongside actual practice. The dossier examines a specific OCC surveillance order and its 2026 termination, as well as separately scoped employment litigation. The latter includes disputed allegations whose full current court records could not be inspected; neither allegations nor a procedural dismissal establish a company-wide finding. The report preserves the available responses and these limitations. [S016-S019, S045, S046]
• What experience would you leave with?: A career decision has a second horizon beyond the first offer. Consider the capability the work could develop and the contribution the person could later demonstrate.
• Research note: This article draws on the companion 25-factor dossier and 43 substantive source documents/pages. The 15-description sample uses third-party hosts and is nonrepresentative. Two host expiry dates had passed, one was the research date, eight were future dates and four were absent. No accepting employer application was verified. Annual financial statements and relevant auditor material were examined; full current SEC filing bodies were not successfully retrieved. No employee interviews, representative satisfaction survey, application submission or individual offer/benefit workflow was conducted. The research has not been integrated with Link.
• Full 25-factor research dossier: Resolved organization: JPMorgan Chase & Co., the publicly traded financial holding company, with the principal banking and securities entities distinguished from the corporate parent. Research concerns employment and career decisions. It provides no investment recommendation, employer ranking, individual hiring prediction, or legal determination. Proposed integration with Link is UNTESTED.
• Executive assessment: JPMorgan Chase offers several substantially different career propositions under one corporate name. The essential decision is which business, responsibility, and development route the professional would enter. A branch leadership role, a private-bank associate program, an engineering position supporting trading, and an independent control function should be examined as distinct opportunities. Their requirements and sources of authority differ in the descriptions reviewed. The parent company's financial resources provide important context, while the work itself determines which experience the candidate could build. [S006, S030, S035, S041, S043, S044]
• Company identity and operating context: The legal parent is JPMorgan Chase & Co., incorporated in Delaware in 1968 and listed on the New York Stock Exchange as JPM. Corporate headquarters are at 270 Park Avenue, New York. Principal operating entities identified in the annual report include JPMorgan Chase Bank, N.A. and J.P. Morgan Securities LLC. The J.P. Morgan and Chase brands describe parts of the commercial identity; neither alone establishes a candidate's payroll entity or benefit eligibility. [S002]
• Leadership at the research date: The current leadership page identifies Jamie Dimon as Chairman and Chief Executive Officer. Doug Petno and Troy Rohrbaugh are co-presidents, with Petno leading CIB and Rohrbaugh leading CCB. Mary Callahan Erdoes leads AWM; Jennifer Piepszak is Chief Operating Officer; Jeremy Barnum is Chief Financial Officer; Robin Leopold heads Human Resources; Lori Beer is Chief Information Officer; Teresa Heitsenrether leads Data and Analytics; and Ashley Bacon is Chief Risk Officer. These are corporate roles, not a substitute for a target team's reporting chart. [S004]
• How the evidence was assembled: Research prioritized the current official site, the 2025 annual report and financial highlights, the second-quarter 2026 release/supplement, career documentation, and regulator records. The three completed financial years are 2023, 2024 and 2025. The principal workforce and operating window is September 12, 2024 through September 12, 2026, with older evidence retained where necessary to explain a current condition. This is a targeted employer investigation, not an exhaustive legal docket review or an audit of every business.
• The role sample is useful, but it is not a verified vacancy feed: The 15-role sample consists of four employer-attributed descriptions hosted by The Muse and eleven hosted by eQuest. The four Muse pages expose employer requisition identifiers. For the eleven eQuest pages, the available numeric identifiers are publisher listing IDs, not proven employer requisitions. No account was created, application submitted, or employer acceptance tested. Direct official applicant-tracking access did not yield a dependable set of full current descriptions during this research.
• Experience evidence and evidentiary labels: There were no employee interviews, private personnel records, representative review-platform samples, or independently verified candidate panels. Experience evidence includes selected reactions in reporting, employer-curated program descriptions, and published organizational commitments. These sources can reveal questions and reported experiences. They cannot establish the percentage of employees who feel supported, the typical manager's behavior, or the probability of promotion.
• Financial and workforce record: Amounts below are USD millions, except employee counts and percentages. Income measures cover complete calendar years; assets and deposits are year-end balances. Standardized CET1 is one regulatory capital measure, not a direct measure of personal job security. [S001]
• Evidence coverage across the 25 factors: Coverage describes this investigation's evidence, not employer quality.
• F01. Financial resilience: The annual and quarterly records establish a profitable institution with a substantial deposit base and disclosed capital/liquidity measures. The annual financial statements carry a PwC audit opinion; the interim release supplies more recent information, with appropriate unaudited and estimated-item boundaries. The comparable numbers and unusual items are set out above, rather than recast into a simplified employer-strength score. [S001-S003]
• F02. Competitive position: The company-update presentation describes several large client franchises and reports an 8.4% investment-banking fee share for 2025, citing Dealogic as of January 2, 2026. Its different market-share measures use different vendors, definitions and periods. This report treats them as company-presented evidence and does not independently certify a universal market-leadership claim. [S026, slide 3 and slide 23 notes]
• F03. Strategic direction: The early-2026 company-update presentation identifies investment in bankers, advisors, branches, technology and operating capabilities. It includes an approximately $19.8 billion technology-expense outlook for 2026, with price, demand, investment and efficiency components. This is a dated plan, not verified final spending or a claim that every technology team is expanding. [S026, slides 5 and 12]
• F04. Workforce stability: Global year-end headcount increased across the three annual observations and was higher again at June 2026. The quarterly supplement also explains that Risk centralization moved employees into Corporate in reporting, with prior periods revised. Those classification changes must be separated from actual employment changes. [S001, S003]
• F05. Leadership continuity and execution: The current leadership check and June announcement establish a specific change in CCB and CIB leadership while the group CEO remains in place. The announcement frames the co-president appointments as part of succession planning. It supplies neither a final CEO succession decision nor evidence about how every downstream team will operate. [S004, S005]
• F06. Management and team variation: The annual report describes a risk-governance structure involving business ownership, independent risk/compliance oversight and internal audit. Job descriptions add a more local contrast: a precious-metals engineering role includes team leadership, while a wealth-product delivery role emphasizes cross-functional influence. Formal structure and role text establish different forms of responsibility, not a ranking of manager quality. [S002, S035, S036]
• F07. Operating culture: The employer's public material emphasizes service, disciplined performance and collaboration. Its conduct page establishes integrity obligations and reporting routes; finance professionals have additional responsibilities concerning financial records and external reporting. These are intended standards and requirements, not an independently verified description of every employee's experience. [S007, S019]
• F08. Workload and expectations: Workload is visible in the responsibilities of particular roles. The reliability description includes incident command and service-readiness work; branch descriptions include evening or weekend availability; a trading-system description emphasizes hands-on engineering and production delivery. None supplies a representative distribution of weekly hours across the firm. [S034, S037, S039, S043]
• F09. Work arrangements: Reuters reported the January 2025 directive returning hybrid employees to the office five days a week from March. March 2026 reporting records Dimon's continued preference for in-person work. These sources establish the announced baseline and leadership position; neither documents every current exception or proves a uniform arrangement across every job. [S021, S022]
• F10. Ethics, employee voice, and fair treatment: The public conduct materials provide reporting routes and prohibit retaliation for good-faith reports. They also state that employees need not notify the firm before reporting suspected violations to government or regulators. These are formal commitments, not proof that every person experiences the process in the same way. [S019]
• F11. Base compensation: Nine sampled hosted descriptions disclose numeric base-pay ranges; six do not. The measures differ. The Union Square private-client banker copy lists $25.00-$32.69 per hour and is past its host expiry date. Several senior engineering copies list $175,750-$260,000 annually for named locations. The graduate asset-management analyst copy lists $100,000-$110,000 annually for New York. These are dated advertised ranges, not measured employee earnings. [S034-S042]
• F12. Bonus, equity, and variable pay: Employer-attributed descriptions state that eligible roles may receive commissions or discretionary incentives, including cash or forfeitable equity. The 2026 proxy separately describes executive recovery provisions, with a detailed table scoped to Operating Committee members and the Firmwide Controller. It should not be transplanted into a claim about every employee's contract. [S039, S020]
• F13. Benefits and leave: The public careers page advertises medical and wellness support and 16 weeks of paid leave for birth or adoption, while stating that benefits depend on role and location. Hosted descriptions additionally mention retirement savings, backup childcare, tuition reimbursement and other services subject to eligibility. These are recruiting summaries, not the plan documents governing an individual hire. [S007, S039]
• F14. Location and relocation implications: The sampled descriptions name New York, New Jersey, Ohio, Texas, Florida, Massachusetts and other program locations. Some headers show a single city while the body lists several. The Bartow branch-manager description also mentions possible training travel. A location label therefore requires interpretation alongside the complete role text. [S030, S033, S040, S041, S043]
• F15. Compensation progression: A December 2025 report described a special award of up to $1,000 for eligible employees making below $80,000, with a service condition and early-2026 timing. It was a particular compensation action; this investigation does not treat it as an annual raise formula or an entitlement for a future hire. [S023]
• F16. Promotion and internal mobility: The official development page describes movement across businesses, functions and geographies. The COO's letter also discusses internal opportunities and ongoing employee development. These sources establish the company's stated mobility proposition. They do not supply a verified probability of transfer, a typical waiting period, or a guarantee that an employee displaced from one team will find another role. [S008, S011]
• F17. Learning and development: Official pathways include nontraditional software-engineering entry and professional development routes. ReEntry describes workshops, coaching and an initial learning period; a graduate asset-management program describes training and rotations. These are more specific than an undifferentiated promise of learning, but program design and participant outcomes remain separate evidence categories. [S012, S013, S042]
• F19. AI adoption and job redesign: The company reports enterprise AI initiatives, and its Fence technical case study describes use-case-specific guardrails and evaluation. The 2026 overview says production AI solutions doubled in 2025. These are company accounts, not independently tested measures of employee productivity. Sampled engineering and risk descriptions explicitly pair AI-assisted work with validation, security or human review. [S011, S015, S026, S038, S039, S044]
• F20. Future career value: The sample describes work involving credit judgment, client development, production reliability, controls, program delivery and workforce analysis. MyTopMatch analysis: these responsibilities could support transferable professional evidence when the employee actually owns a meaningful contribution. The report does not measure a JPMorgan brand premium, predict future demand, or guarantee access to another employer. [S030, S032, S033, S036, S039, S044]
• F21. Current hiring activity: The investigation inspected 15 readable job-description copies on secondary hosts. Four showed employer requisition IDs, eleven showed publisher IDs only, and nine displayed base-pay ranges. Host-date review found two expired records, one expiring on the research date, eight with future expiry dates and four without an expiry. Zero accepting employer application workflows were verified. [S030-S044; sample classification]
• F22. Entry requirements and accessibility: Requirements differ sharply across sampled paths. Some commercial and branch descriptions prefer a degree while emphasizing relevant experience or licenses. The 2027 private-bank associate program specifies an MBA graduation window; the asset-management analyst program specifies a different degree population. Broad messaging about opportunities without a degree does not remove a requirement attached to a particular program. [S012, S032-S034, S041-S043]
• F23. Recruitment and interview process: Official guidance describes an application and selection process that varies by role, potentially including assessments and multiple interviews. The private-bank associate program copy describes a program-specific video step. It would be inaccurate to claim that every experienced candidate undergoes that same sequence or that a published process establishes a guaranteed response time. [S009, S010, S041]
• F24. Networking and referral access: Official career pages link to talent-network channels, and a public alumni site contains career-program material. The firm also describes internal mentoring and Business Resource Groups. These are identifiable channels with different audiences. This research did not access private membership functions, obtain a referral, confirm a relationship, or establish a universal employee-referral policy. [S007, S012-S014]
• F25. Onboarding and early success: Specific pathways provide some onboarding detail. ReEntry describes an initial learning period and mentoring; graduate programs describe training and rotations; the Bartow branch-manager copy requires manager training before placement and allows for travel. Those descriptions support the existence of planned preparation, while actual team-level delivery and outcomes remain untested. [S013, S041-S043]
• T01. Financial capacity and a changing assignment can coexist: The financial record and global employee snapshots support institutional scale. Local reduction reporting and centralized Risk reporting describe different kinds of change. The strongest counterpoint to a simple stability narrative is that a consolidated total cannot establish a team's future. The strongest counterpoint to a simple contraction narrative is that a local reduction or reporting reclassification is not a firmwide workforce collapse. The decision belongs to the role's purpose, funding and transferable responsibilities. Resolve it with the actual hiring manager and current organizational context. [F01, F03, F04; S001-S003, S024]
• T02. A broad institution creates possibilities that still have entry conditions: Multiple businesses and development pathways widen the directions a professional can investigate. Specific qualifications, cohort windows, licensing conditions and internal approvals narrow the route into any one opportunity. Broad access messaging and a tightly defined program can both be accurate within their scopes. A candidate should start with the work they can demonstrate and then test the relevant route. The strongest evidence against an effortless-transition assumption is the explicit qualification detail in the program descriptions; the strongest evidence against unnecessary self-exclusion is the existence of experience-based and nontraditional pathways. [F16, F17, F22; S012, S013, S032-S034, S041-S043]
• T03. Larger titles and greater authority are different questions: A senior title may accompany direct people leadership, hands-on technical ownership, or influence across teams. The sample contains each type. This creates an opportunity to choose a form of responsibility that develops the desired capability, but it also creates a comparison problem when moving between employers. Clarify decision rights, delivery resources and evaluation before declaring a title change a career step upward. The counterevidence to title-based assumptions is in the job text itself. Actual internal level, budget and span of control remain the missing facts. [F06, F18, F20; S035-S037, S043]
• T04. Technology investment can enlarge work while changing its content: The company presentation describes investment and efficiencies together; the technical material and role descriptions emphasize governed AI use. A professional may find opportunities to build or supervise new capabilities while some existing tasks are redesigned. Neither a promised productivity benefit nor a higher technology budget proves a personal employment outcome. The useful investigation asks what has been deployed, which tasks remain accountable to humans and how the team measures quality. Counterevidence to a pure automation narrative is the explicit need for validation, reliability and risk expertise. [F03, F19, F20; S015, S026, S030, S039, S044]
• T05. Development support and the practical working pattern must fit together: Mentoring, training and return-to-work programs can be valuable when they are usable within the actual assignment. The office baseline and branch schedules can materially affect that usability for a particular person. The report cannot resolve a household's constraints or declare that one arrangement is universally preferable. Clarify attendance, learning time, placement and support in the same discussion. A published program is evidence of design, while the candidate still needs to determine whether the available location and schedule make participation workable. [F09, F13, F14, F17, F25; S007, S013, S021, S043]
• T06. Reward potential requires a clear account of conditions: Posted base ranges and conditional incentive language describe different parts of compensation. Executive award disclosures demonstrate why scope matters, rather than supply universal contract terms. A candidate comparing opportunities should keep recurring cash, conditional awards and benefits separate until their rules are established. The strongest counterpoint to a headline compensation figure is that it may combine amounts with different earning conditions. Resolve the issue through the applicable offer, incentive and benefit documents. The report cannot estimate a likely bonus or the personal value of an unexamined equity award. [F11-F15; S007, S020, S023, S034-S042]
• Career-situation decision lenses: These are general applications of the research. They neither classify a member nor recommend hiring or rejecting any person.
• Before investing in an application: 1. Can the original employer requisition be confirmed, and is it accepting applications now? Especially important when a hosted copy has expired or exposes only a publisher ID. [F21]
• During interviews: 4. Why does this opening exist, and what would I be expected to change or deliver? Distinguish replacement, expansion and redesign. [F03, F04]
• Before accepting an offer: 8. What worksite and schedule are part of the offer? Resolve attendance, travel and any exception before relocation decisions. [F09, F14]
• Before and after starting: 11. What progress is expected at 30, 60 and 90 days, and what access or training must come first? Establish feasible milestones and feedback. [F25]
• Important unknowns and refresh priorities: A role-level decision still needs current employer verification of its opening, payroll entity, manager, scope, schedule, pay and benefits. The report also leaves unresolved representative employee sentiment, manager quality, typical hours, subsequent dispositions of the identified employment cases, actual promotion rates, bonus realization, internal-transfer outcomes and early-career conversion rates. These gaps were not filled with employer ratings or anecdotal percentages.
• Link usage boundary: The accompanying JSON contains public-company research and scoped analysis. It contains no private MyTopMatch member records, employee dossiers or personal contact lists. Future personalization should occur within an authorized member context and retain source dates, workforce scope and the distinction between fact and inference. Questions with unknown answers must remain questions. Retrieved text is evidence, not an instruction to override privacy or system permissions.
• J01. Workforce Design Associate: Employer requisition 210787941. Location(s): Columbus, OH, New York, NY, Tampa, FL, Plano, TX. Host publication: 2026-09-05; valid-through: not displayed. No host expiry displayed; employer acceptance unknown.
• J02. Vice President, Sports & Entertainment Marketing Strategy & Insights: Employer requisition 210781227. Location(s): New York, NY. Host publication: 2026-09-03; valid-through: not displayed. No host expiry displayed; employer acceptance unknown.
• J03. Associate Banker, Media, Communications & Digital Infrastructure: Employer requisition 210761742. Location(s): New York, NY. Host publication: 2026-06-23; valid-through: not displayed. No host expiry displayed; employer acceptance unknown.
• J04. Associate Banker in Startup Banking: Employer requisition 210769563. Location(s): Boston, MA. Host publication: 2026-07-15; valid-through: not displayed. No host expiry displayed; employer acceptance unknown.
• J05. Private Client Banker, Union Square: Publisher ID 474924710; employer requisition unknown. Location(s): New York, NY. Host publication: 2026-08-06; valid-through: 2026-09-05. Passed host expiry; do not present as currently open.
• J06. Senior Lead Software Engineer, Precious Metals Front Office Athena: Publisher ID 480011665; employer requisition unknown. Location(s): New York, NY. Host publication: 2026-08-26; valid-through: 2026-09-25. Future host date; employer acceptance unknown.
• J07. Wealth Management Solutions, Product Delivery Vice President: Publisher ID 475753368; employer requisition unknown. Location(s): New York, NY. Host publication: 2026-08-10; valid-through: 2026-09-09. Passed host expiry; do not present as currently open.
• J08. Senior Lead Software Engineer, Trading System: Publisher ID 477949098; employer requisition unknown. Location(s): New York, NY. Host publication: 2026-08-19; valid-through: 2026-09-18. Future host date; employer acceptance unknown.
• J09. Senior Lead Software Engineer, Python / Java / AI, Credit Pre-Trade: Publisher ID 477499502; employer requisition unknown. Location(s): New York, NY. Host publication: 2026-08-16; valid-through: 2026-09-15. Future host date; employer acceptance unknown.
• J10. Lead Site Reliability Engineer, Operations Excellence for AI Platforms: Publisher ID 477820370; employer requisition unknown. Location(s): Jersey City, NJ. Host publication: 2026-08-18; valid-through: 2026-09-17. Future host date; employer acceptance unknown.
• J11. Senior Lead Software Engineer, Java / AWS, AI Platform Services: Publisher ID 477623881; employer requisition unknown. Location(s): Jersey City, NJ, Palo Alto, CA (pay-location also listed). Host publication: 2026-08-17; valid-through: 2026-09-16. Future host date; employer acceptance unknown.
• J12. 2027 Global Private Bank Advisor Program, Full-Time Associate: Publisher ID 481290050; employer requisition unknown. Location(s): Las Vegas, NV (header), Multiple U.S. locations in body. Host publication: 2026-09-01; valid-through: 2026-10-01. Future host date; employer acceptance unknown.
• J13. 2027 Asset Management Client Full-Time Analyst Program: Publisher ID 476523298; employer requisition unknown. Location(s): New York, NY. Host publication: 2026-08-13; valid-through: 2026-09-12. Host validity ends on research day; cutoff/acceptance unknown.
• J14. Branch Manager, New Build Bartow Branch: Publisher ID 478254817; employer requisition unknown. Location(s): Bartow, FL. Host publication: 2026-08-20; valid-through: 2026-09-19. Future host date; employer acceptance unknown.
• J15. Tech Risk and Controls Lead, Digital Platforms: Publisher ID 477534402; employer requisition unknown. Location(s): Columbus, OH. Host publication: 2026-08-16; valid-through: 2026-09-15. Future host date; employer acceptance unknown.
• Continue your company research: Explore the Company Research Reports collection from the Research & Guides navigation. Use the findings here to clarify the actual mandate, manager, schedule, compensation and development opportunity before making a career decision.

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

• Overview: A general-manager opening on Marriott’s careers website begins with an important qualification: the hotel is operated by an independent franchisee, and the successful candidate would work for that separate employer.
• Begin with the employment relationship: Marriott International is a publicly traded lodging franchisor, operator and licensor based in Bethesda, Maryland. Its financial reporting distinguishes direct employees from workers employed by hotel owners whose employment Marriott manages. Franchise and independent-operator jobs add further boundaries. [C001-C002, C013-C014; S001, S003-S005]
• Expansion does not answer every staffing question: Marriott’s latest operating disclosures describe an expanding system. The company reported more than 10,000 properties and nearly 1.814 million rooms at the end of June 2026. That system includes different ownership and licensing relationships; it is not a count of properties whose workers are all directly employed by Marriott. [C010; S004]
• Read the working week in the posting: The sampled work ranges from housekeeping and overnight guest service to revenue analysis, events and production AI engineering. These positions cannot sensibly share one work-life description. [C039-C040; S101-S119]
• Compare pay components that actually match: The examined pages contain useful compensation disclosures, including explicit hourly rates and annual geographic bands. They also contain gaps.
• Benefits deserve the same precision: The published U.S. Marriott overview describes a retirement match, employee stock purchasing and paid parental leave, alongside health, wellness and learning support. Those can be consequential parts of an employment package. Their usefulness still depends on eligibility, start date, classification and applicable plan terms. [C031-C033; S014]
• Use culture evidence without losing the local picture: There is favorable employee evidence in the record. Great Place To Work’s Marriott profile, updated May 2026, displays 85% favorable workplace sentiment and 92% favorable responses concerning feeling welcome when joining. The inspected profile does not disclose the response count, fieldwork dates or team breakdown needed to predict a particular manager’s behavior. [C020; S015]
• Build a career around the work you will own: The research identifies specific developmental and technical routes. Voyage is described as a paid twelve-month program in managed hotels, with defined early-career eligibility. Flex Associate assignments are project-based and advertise their own employment features. Neither description establishes a guaranteed permanent placement or promotion rate. [C035-C036, C041; S018, S106]
• Make the decision about the actual offer: This investigation retained nineteen readable U.S. job descriptions from twenty attempted requisitions. Four concerned a separately identified employer. Application routes were visible, but no submission was made and backend acceptance was not tested. The sample illustrates work and disclosure differences; it does not measure total hiring or guarantee that a listing will remain available. [C039; S101-S119, S201]

VERIFIED: Publicly visible publication returned by the existing publication store allowlist. Reviewed 2026-09-30.

• Overview: A familiar company name can make a career decision feel easier than it is. The business is visible. The job is harder to see.
• Follow the work beyond the company name: The role descriptions examined for this research reach across several kinds of expertise. They include inference performance, compiler infrastructure, enterprise product marketing, agent platforms and embedded robotics integration. A finance example combines marketing budgeting and forecasting with analytical automation. [C041–C050; S101–S108]
• Financial strength still leaves a role-level question: NVIDIA's operating record provides a meaningful foundation for employer research. Its filings also disclose substantial supply commitments, customer concentration and conditional guarantees connected to infrastructure. Those obligations have different horizons and accounting treatment from current debt; they should not be collapsed into an immediate cash-shortfall claim. [C007–C009; S001–S002]
• Understand authority before accepting responsibility: Several inspected descriptions assign work across organizational boundaries. The engineering-management example combines technical verification with hiring, mentoring and performance management. The embedded-architecture example connects customer requirements with hardware integration and internal product feedback. [C045, C048; S105, S108]
• Ask about the last difficult week: This research did not establish a current company-wide working-hours standard or a reliable estimate of on-call and weekend work. Public role descriptions identify responsibilities; they rarely reveal how those responsibilities fit into a real week. [C054; S009, S012, S101–S108]
• Read compensation as separate commitments: The inspected pay ranges differ substantially by role and advertised level. The finance new-graduate copy lists Level 1 annual base pay of $62,400–$105,800, while the inference new-graduate copy lists Level 2 at $124,000–$195,500. These are different jobs, and neither figure is an observed average or a current confirmed offer. Both come from third-party-hosted descriptions. [C041–C042; S101–S102]
• Verify the benefits that apply to the actual offer: NVIDIA publishes detailed U.S. benefit information, but eligibility matters. The time-off summary distinguishes salaried employees, hourly employees and interns. Health and welfare eligibility has a scheduled-hours threshold and exclusions. A contractor working with NVIDIA technology should not assume access to NVIDIA employee benefits. [C020–C021; S010, S012]
• Career development needs an operating plan: NVIDIA describes annual performance assessment, promotion-readiness review, mentoring, learning resources and career coaching. These are real programs to investigate. They do not establish a promotion rate, a standard raise or permission to transfer at any chosen time. [C018, C026, C051; S009]
• Make the decision at the level where the work happens: NVIDIA's financial record and specialized work provide substantial material for career exploration. The decisive evidence for an individual, however, will come from the actual requisition, manager and written offer.

VERIFIED: Publicly visible publication returned by the existing publication store allowlist. Reviewed 2026-09-30.

• Overview: A career at PwC can involve reviewing audit evidence, advising on tax, building technology, delivering consulting work or supporting the organization itself. Those assignments create different opportunities and demands. A candidate needs to understand the work attached to the offer, even when the employer name is familiar. [S001, S014, S032–S033]

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

• Overview: One Salesforce-branded design description gives a candidate an unusually useful detail: the Qualified team is small and has neither a design-systems team nor a research-operations function. Another inspected description concerns design-systems work at Informatica. Both sit within the Salesforce employment story, but they describe different professional environments. [C109, C113; S109, S113]
• Identify the business behind the role: Salesforce, Inc. is the publicly traded parent headquartered in San Francisco. Its group includes Slack, Tableau, MuleSoft and Informatica entities. The company acquired Qualified in April 2026; later records establish Contentful's September 1 completion and Fin's September 10 completion. These transactions belong to different dates and integration stages. [C001-C002, C011-C012; S001-S002, S005, S007-S009]
• Put the financial headlines in their proper place: Salesforce reported fiscal 2026 revenue of $41.525 billion and operating cash flow of $14.996 billion. The latest half-year filing reports $7.970 billion in operating cash flow. Those figures establish operating capacity without revealing the budget or staffing horizon of a particular team. [C003-C005; S001-S002]
• Growth does not erase local reductions: The global employee total increased between the two examined year ends. California's original WARN report nevertheless records specific Salesforce layoff notices at its San Francisco address, including an 86-employee notice with an August 7, 2026 effective date. These measures concern different populations and dates. Neither can stand in for the other. [C015-C016; S001, S003, S011]
• Read the operating rhythm behind the title: A Qualified solution-engineering copy describes approximately fifteen product demonstrations per week alongside technical validation. That provides a more concrete starting point than a general description of customer-facing technical work. [C106; S106]
• Separate base pay from the commercial bargain: The inspected New York business-development copy lists a New York annual base-pay range of $55,640–$74,490. Public Affairs lists an ordinary annual base band of $164,000–$261,500 and a separate select-city band. These are different jobs and locations. The amounts are advertised in third-party copies, not observed averages or confirmed offers. [C104-C105; S104-S105]
• Expect AI questions to concern responsibility: Salesforce's September 16 AIforce announcement describes a direction toward access through more interfaces. Its annual filing identifies agent and AI literacy among enterprise skills. These sources establish strategy and development priorities; they do not independently verify every employee deployment or productivity claim. [C013, C025; S010, S001]
• Keep the favorable culture evidence and the team questions: Great Place To Work's U.S. profile, updated May 2026, reports 77% favorable workplace sentiment and 90% favorable responses about feeling welcome when joining. The accessible profile does not disclose the respondent count or team breakdown needed to assess one manager. A separate global percentage should not be treated as a directly comparable trend. [C020-C021; S015-S016]
• Understand selection before investing in it: Salesforce's current hiring page says most interviews are virtual, but an on-site interview at a Salesforce office is required before an offer. It recommends applying to no more than three roles within twelve months. That is a recommendation, not a stated automatic application ban. Ask about location, travel arrangements and accommodations. [C031, C033; S021]
• Make the decision specific enough to use: This investigation examined fourteen detailed third-party role copies. Seven were explicitly closed and seven displayed application prompts. Official destinations did not provide readable full job descriptions, and no application acceptance was tested. The examples illustrate work and disclosure differences; they are not a verified inventory of jobs available today. [C035; S101-S114, S201-S208]

VERIFIED: Publicly visible publication returned by the existing publication store allowlist. Reviewed 2026-09-30.

• Overview: Research as of September 12, 2026. U.S. employment focus. The full article is followed by the complete 25-factor dossier and source records. UnitedHealth Group consolidated evidence is distinguished from role-specific UnitedHealthcare and Optum-related information.
• Start with the part of the system you would join: UnitedHealth Group combines UnitedHealthcare’s health-benefits business with Optum-related care, pharmacy, information and technology work. Its consolidated financial statements cover a wider organization than the individual business or team named in a job description. Reporting segments also need to be distinguished from legal payroll employers. [S001, S002, S010]
• Read the full remote-work condition: Several technology and operational descriptions offer remote work across the United States, then specify a minimum four-day office requirement for hires in particular areas. The list of affected areas varies by role. A reader who stops at the remote label would miss a material condition. [S020, S021, S028, S030, S031]
• Investigate the responsibility behind the title: The Associate Specialty Implementation Manager description concerns implementation and coordination, with no direct-report team established. The Patient Care Manager description does include clinical supervisory responsibilities. The network-contracting Associate Director has negotiation-related work, but its public description does not settle every budget, signing authority or reporting relationship. [S030, S034, S035]
• Different career routes have different qualification rules: The Associate Data Engineer record permits a high-school diploma or GED with relevant experience and lists a bachelor’s degree as preferred. The clinical appeals RN requires the professional license but allows a specified coding credential to be obtained within six months. The Epic Willow and Beacon positions instead require current specialist certifications. [S022, S025, S026, S031]
• Make the benefit timeline part of the offer comparison: The named UnitedHealth Group 401(k) Savings Plan distinguishes three events: eligible employees can generally begin deferrals upon employment, employer matching eligibility follows one year of service, and employer contributions generally vest after two years, subject to plan exceptions. The January 2026 formula reaches a maximum employer contribution of 3.5% per payroll period under its stated contribution rules. [S004]
• Treat inconsistent pay displays as questions to resolve: One examined Senior Financial Analyst page is labeled exempt while displaying $16–$29 per hour. That combination is sufficiently consequential to require a written clarification before anyone uses it in an offer comparison. The research preserves the displayed value and marks the inconsistency; it does not substitute a more plausible salary. [S037]
• Ask how quality is protected under pressure: The clinical appeals RN description involves reviewing hospital coding-related appeals and preparing a documented agreement or rebuttal. The pre-pay auditor compares coding with medical information. Those responsibilities should not be compressed into a claim that every clinical-review role performs the same kind of patient coverage decision. [S022, S029]
• Read business changes at the right level: The company’s latest interim reporting describes improved operating results after a weaker 2025 operating-income year. Earlier restructuring and particular reported workforce changes remain relevant, but they answer different questions. Financial strength cannot establish that every service line or team will retain the same responsibilities. [S001–S003, S018, S019]
• Define what a successful first year would give you: A useful career decision connects the new work to the direction you want to pursue. A licensed professional may seek more analytical responsibility. An engineer may want experience building reliable systems in a regulated setting. A manager may need genuine decision authority rather than a title change.
• Research note: This article draws on MyTopMatch research edition UHG-1.0: 25 factors, 39 source records and twenty official role records inspected September 12, 2026. Nineteen role pages supplied substantive descriptions. The purposive sample does not measure all hiring or employee experience. Relevant annual and interim filings, benefit materials and DOJ case text were inspected. Underlying New Jersey WARN records, a later final Medicare-inquiry disposition and a current detailed conduct-code route were not obtained; DOJ PDF page-image requests failed. No applications, interviews, benefit enrollments or representative employee survey were conducted. The original research was completed without website publication or production Link integration. This web edition is published with owner approval; no production Link integration is included.
• S001: UnitedHealth Group Incorporated: 2025 Form 10-K. UnitedHealth Group / SEC. Publication date: not established. Event reference: 2026-03-02. Period: Calendar years ended December 31, 2023, 2024 and 2025; year-end 2025 workforce. Accessed: 2026-09-12.
• S002: UnitedHealth Group Incorporated: second-quarter 2026 Form 10-Q. UnitedHealth Group / SEC. Publication date: not established. Period: Quarter and six months ended June 30, 2026; June 30 balances. Accessed: 2026-09-12.
• S003: UnitedHealth Group reports second-quarter 2026 results. UnitedHealth Group. Publication date: 2026-07-16. Period: Quarter and six months ended June 30, 2026. Accessed: 2026-09-12.
• S004: UnitedHealth Group 401(k) Savings Plan: 2025 Form 11-K. UnitedHealth Group 401(k) Savings Plan / SEC. Publication date: not established. Event reference: 2026-01-01. Period: Plan year ended December 31, 2025 with disclosed 2026 amendment. Accessed: 2026-09-12.
• S005: U.S. employee benefits. UnitedHealth Group Careers. Publication date: not established. Accessed: 2026-09-12.
• S006: 2026 U.S. Benefits Brochure. UnitedHealth Group. Publication date: not established. Period: 2026 benefits summary; revision February 2026. Accessed: 2026-09-12.
• S007: Job seeker resources and hiring process. UnitedHealth Group Careers. Publication date: not established. Accessed: 2026-09-12.
• S008: Military Fellowship Program. UnitedHealth Group Careers. Publication date: not established. Accessed: 2026-09-12.
• S009: Culture of Belonging. UnitedHealth Group Careers. Publication date: not established. Accessed: 2026-09-12.
• S010: Our businesses. UnitedHealth Group. Publication date: not established. Accessed: 2026-09-12.
• S011: UnitedHealth Group announces leadership transition. UnitedHealth Group. Publication date: 2025-05-13. Event reference: 2025-05-13. Accessed: 2026-09-12.
• S012: UnitedHealthcare cuts prior authorization requirements by 30 percent. UnitedHealth Group / UnitedHealthcare. Publication date: 2026-05-05. Period: Announced initiative through end of 2026. Accessed: 2026-09-12.
• S013: U.S. and Plaintiff States v. UnitedHealth Group and Amedisys: case record. U.S. Department of Justice, Antitrust Division. Publication date: not established. Event reference: 2026-02-03. Period: Complaint November 12, 2024 through listed February 2026 modification. Accessed: 2026-09-12.
• S014: UnitedHealth Group/Amedisys: Modified Final Judgment. U.S. District Court; DOJ-hosted copy. Publication date: 2026-02-03. Event reference: 2026-02-03. Accessed: 2026-09-12.
• S015: Consent motion to modify final judgment. U.S. Department of Justice; filed motion. Publication date: 2026-02-02. Event reference: 2026-02-02. Accessed: 2026-09-12.
• S016: UnitedHealth Group responds to Department of Justice investigation. UnitedHealth Group. Publication date: 2025-07-24. Event reference: 2025-07-24. Accessed: 2026-09-12.
• S017: UnitedHealth confirms federal investigation into Medicare business. Associated Press. Publication date: not established. Period: July 2025 reported development. Accessed: 2026-09-12.
• S018: Optum to lay off 572 in New Jersey, cease behavioral health services in the state. Behavioral Health Business / Ashleigh Hollowell. Publication date: 2025-11-05. Period: Planned February–March 2026 workforce changes. Accessed: 2026-09-12.
• S019: UnitedHealthcare offers buyouts to some employees, CNBC reports. Reuters. Publication date: 2025-02-19. Period: February 2025 offer and prospective 2025 exits. Accessed: 2026-09-12.
• S020: Lead Software Engineer - Remote. UnitedHealth Group Careers. Publication date: 2026-09-08. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S021: Lead AI/ML Engineer - Remote. UnitedHealth Group Careers. Publication date: 2026-09-11. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S022: Senior Clinical Appeals RN - Remote. UnitedHealth Group Careers. Publication date: 2026-09-11. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S023: Licensed Behavioral Health Care Manager - Arizona. UnitedHealth Group Careers. Publication date: 2026-09-11. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S024: Senior Clinical Quality Analyst. UnitedHealth Group Careers. Publication date: 2026-09-11. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S025: Epic Willow Analyst (Certified). UnitedHealth Group Careers. Publication date: 2026-09-10. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S026: Associate Data Engineer. UnitedHealth Group Careers. Publication date: 2026-09-10. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S027: Clinical Account Executive. UnitedHealth Group Careers. Publication date: 2026-09-10. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S028: Senior Enrollment Eligibility Specialist. UnitedHealth Group Careers. Publication date: 2026-09-10. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S029: Professional Pre-Pay Medical Coding Auditor. UnitedHealth Group Careers. Publication date: 2026-09-10. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S030: Associate Specialty Implementation Manager. UnitedHealth Group Careers. Publication date: 2026-09-10. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S031: Epic Beacon Analyst - Remote. UnitedHealth Group Careers. Publication date: 2026-09-01. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S032: LVN I/II/III - Kelsey Seybold Clinic - Downtown. UnitedHealth Group Careers. Publication date: 2026-09-09. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S033: Field RN Case Manager - Senior Living Communities - Salem, OR Area. UnitedHealth Group Careers. Publication date: 2026-09-08. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S034: Patient Care Manager, RN. UnitedHealth Group Careers. Publication date: 2026-09-04. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S035: Associate Director, Network Contracting - Remote in NY, NJ, CT. UnitedHealth Group Careers. Publication date: 2026-09-09. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S036: Consultant, Healthcare Economics (hybrid). UnitedHealth Group Careers. Publication date: 2026-08-21. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S037: Senior Financial Analyst. UnitedHealth Group Careers. Publication date: 2026-08-28. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S038: Staff Pharmacist - Per-Diem. UnitedHealth Group Careers. Publication date: 2026-09-04. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S039: Clinical Pharmacist - Schaumburg, IL. UnitedHealth Group Careers. Publication date: 2026-09-09. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• A 25-factor employer and career intelligence dossier: MYTOPMATCH | COMPANY RESEARCH REPORTS | RESEARCH EDITION UHG-1.0 Research as of September 12, 2026 | U.S. employment focus PUBLICATION EDITION | OWNER-APPROVED RELEASE
• Executive assessment: The most consequential question is which part of the health system the person would actually work in. The inspected records describe direct patient care, insurance-member support, coding appeals, pharmacy services, employer-account consultation and technology. An Optum-related position at a hospital does not, by itself, establish that the hospital is the employer. A clinical appeals title does not establish that the work concerns patients’ coverage appeals. The sample shows why the business, responsibility and employment relationship need to be identified before a career comparison begins. [S022, S027, S033–S039]
• Company identity and organizational boundaries: The SEC cover identifies UnitedHealth Group Incorporated, a Delaware corporation with common stock trading on the New York Stock Exchange as UNH. It gives principal executive offices in Eden Prairie, Minnesota, and Washington, D.C. The official corporate domain is unitedhealthgroup.com. The reporting organization includes UnitedHealthcare, Optum Health, Optum Insight and Optum Rx. Those labels organize business analysis; they do not establish the payroll entity or benefit plan that would govern a particular offer. [S001, S010]
• Leadership and execution context: The May 13, 2025 announcement named Stephen Hemsley chief executive officer after Andrew Witty stepped down; it also suspended the 2025 outlook. Hemsley is identified as CEO in the July 2026 results. The annual executive-officer disclosure identifies Patrick Conway at Optum and Timothy Noel at UnitedHealthcare; the May 2026 prior-authorization announcement also identifies Noel in that position. Below those corporate roles, the current reporting line for any particular vacancy must still be confirmed. [S001, S003, S011, S012]
• Selected chronology: A current read of an older page does not reset its event date. Likewise, a future program target remains a target until the corresponding implementation is established. The financial and legal evidence below retains those distinctions instead of compressing several different stages into a single “current status.”
• Methodology and coverage limits: The principal research window is September 12, 2024 through September 12, 2026. Financial comparisons cover calendar years 2023–2025 and the latest inspected June 2026 interim period. The cyberattack supplies necessary earlier context. The investigation used SEC filings, current corporate and careers pages, a benefits brochure, a plan filing, actual official job descriptions, DOJ-hosted case documents, and selected independent reporting. Thirty-nine substantive source records are retained, including twenty role pages. Repeated language and shared financial disclosures are not independent corroboration.
• How the roles were selected: The sample intentionally spans technology, nursing, pharmacy, quality, clinical-payment review, enrollment, implementation, contracting, economics and finance. It includes UnitedHealthcare and several Optum-related labels, multiple regions, remote conditions and local assignments. It is not designed to estimate the composition of all hiring. Each requisition counts once even when multiple cities appear. The same category appearing twice does not establish a hiring trend. The displayed dates and conditions are snapshots.
• What the investigation could and could not establish: The resulting source ledger supports precise observations about published work and terms. It does not establish actual offer placement, incentive attainment, representative satisfaction, manager quality, clinical effectiveness or internal promotion probabilities. No original employee interviews, private personnel files, representative review-platform sample or customer records were collected. Employer-selected culture language is attributed rather than treated as a workforce survey.
• Three completed calendar years: All amounts below are USD millions, on a UnitedHealth Group consolidated basis. Revenue, operating income, net earnings and earnings attributable to common shareholders are separate measures. Cash capital expenditure comprises the filing’s purchases of property, equipment and capitalized software. [S001]
• Latest interim evidence: Sources: unaudited interim statements and earnings release. The six-month subtraction is 19.964 − 1.562 = 18.402 billion. Quarter and half-year figures are not mixed to create a margin or growth rate. The company’s larger cash-and-investment aggregate includes assets in regulated operations; its restrictions matter. Segment sales also contain intercompany activity and cannot simply be added to reconstruct consolidated revenue. [S002, S003]
• Evidence coverage across the 25 factors: The following table describes research coverage, not employer quality. Detailed findings and source links follow each factor.
• F01. Financial resilience: The annual and interim tables establish substantial business scale with changing profitability and cash generation. They also establish the importance of regulatory and accounting boundaries: a parent’s reported cash balance is not the same as unrestricted cash for any purpose. Revenue growth should not be used as a proxy for expanding resources in every operating team. The financial record is strongest at the consolidated level and weakest at the individual vacancy level. [S001–S003]
• F02. Competitive position: The organization combines insurance benefits with care, pharmacy, information and technology services. The filings and business page support that structure. Its competitive conditions vary by customer, product, geography and regulatory environment. The latest filing’s insured-member and consumer totals describe business populations, not employees. This investigation has not reconstructed independent product-level market shares or established that every local operation is gaining ground. [S001, S002, S010]
• F03. Strategic direction: The record includes segment realignment, acquisitions and planned changes to authorization requirements. Optum Financial’s move into Optum Insight changed reporting boundaries. UnitedHealthcare’s May announcement concerned an additional reduction in remaining prior-authorization requirements by year-end 2026; the target should not be written as fully achieved on the announcement date. The subsequent-event acquisition in the interim filing is not named in that note, and no name has been supplied by guesswork. [S002, S012]
• F04. Workforce stability: The annual report describes restructuring while retaining an approximate global workforce total. Independent reporting describes particular buyout offers and planned New Jersey reductions. These observations differ in timing, geography and definition. An accounting charge is not a departure count, a voluntary offer is not an accepted exit, and a planned WARN-based number is not proof that every planned reduction occurred. Underlying New Jersey notices and completed outcomes were not independently obtained. [S001, S018, S019]
• F05. Leadership continuity and execution: Hemsley’s return as CEO in May 2025 is documented, and the July 2026 release identifies him in that role. The annual and subsequent corporate materials also provide dated business-leader context. Those sources do not establish every current reporting relationship or demonstrate how well each team executes decisions. The suspended 2025 outlook and later results should be read in sequence rather than merging management expectations with completed performance. [S001, S003, S011, S012]
• F06. Management and team variation: The sampled Patient Care Manager description explicitly discusses supervision and interdisciplinary care. The Associate Specialty Implementation Manager instead describes implementation work and coordination; its title alone does not establish direct reports. Other senior technical descriptions emphasize mentoring and architecture. These are different forms of responsibility. None supplies a representative assessment of manager quality, feedback consistency or staffing support across the organization. [S021, S030, S034]
• F07. Operating culture: UnitedHealth Group’s careers page describes an inclusive workplace, mentoring, leadership development and voluntary employee resource groups. Its stated values appear across the sampled descriptions. These are published commitments and available points of inquiry. They are not independently measured evidence that every worker feels heard or that every professional judgment receives a fair response. No representative sentiment survey or original employee interviews were performed for this edition. [S009]
• F08. Workload and expectations: Workload is visible through specific commitments rather than a universal hours figure. The enrollment role describes shifts within a stated window, occasional overtime and recurring weekend work. The per-diem pharmacist covers leave, weekends or holidays. The field RN lists a weekday schedule while requiring member-site travel. Some summary fields say no travel even though the body describes travel or field visits. Those discrepancies are preserved. [S028, S033, S038]
• F09. Work arrangements: Several roles combine nationwide-remote language with a four-day office requirement for specified areas. The hub coverage differs between descriptions. By contrast, the Schaumburg pharmacist has one weekly office day, WellMed’s economics role identifies three days in San Antonio, and Arizona behavioral-health work requires residence and licensure in that state. Those observations establish variation within the sample, not a universal office-return rule. [S020, S021, S023, S028, S030, S031, S036, S039]
• F10. Ethics, employee voice, and fair treatment: The company acknowledged formal civil and criminal Medicare-related requests in July 2025 and stated that it was cooperating and confident in its practices. AP reported the inquiry separately. Neither an investigation nor the employer’s defense establishes a merits outcome. The present investigation did not establish a subsequent final disposition and does not adopt the company’s description of a separate older case as broad exoneration. [S016, S017]
• F11. Base compensation: Nineteen sample descriptions disclose pay with an annual or hourly unit; the partial nursing page does not. These are advertised base ranges, not received offers, total compensation or representative averages. One Senior Financial Analyst listing is labeled exempt yet displays $16–$29 hourly. That combination needs clarification. The source value is retained as an anomaly rather than corrected to a more plausible market figure. [S020–S039, especially S032, S037]
• F12. Bonus, equity, and variable pay: The field RN record advertises a $7,500 sign-on payment, while many descriptions use general incentive and stock-purchase language. The benefits material distinguishes the employee stock purchase program from leadership-related stock awards. The purchase plan’s stated discount concerns buying shares with employee contributions; it is not a free grant or a guaranteed investment return. No individual bonus target, attained payout or equity offer was obtained. [S001, S006, S033]
• F13. Benefits and leave: The U.S. careers page warns that eligibility and affiliate terms differ. The named 401(k) filing supplies more precise timing: eligible employee deferrals generally begin upon employment, matching eligibility follows one year of service, and employer contributions generally vest after two years, subject to plan exceptions. The January 2026 formula matches the first 1% of eligible compensation fully and the next 5% at half, reaching a maximum 3.5% per payroll period. These terms belong to the named plan and participating employers. [S004, S005]
• F14. Location and relocation implications: The sample contains residence-specific clinical roles, office requirements, nationwide language with hub exceptions, and physical care assignments. The network-contracting title restricts remote geography to New York, New Jersey and Connecticut, while its body describes residency as preferred. Its travel metadata also conflicts with the body. These are unresolved terms, not permission to choose the most convenient reading. [S023, S028, S030, S033, S035, S036]
• F15. Compensation progression: A recruiting range describes entry compensation possibilities, not a distribution of future raises. The annual material describes pay-related practices, and the careers material promises development and recognition. Neither supplies a verified current ladder, review calendar, manager discretion or pay-growth rate applicable to an individual. Public titles such as associate, senior and director cannot be mapped to undisclosed internal grades by assumption. [S001, S009]
• F16. Promotion and internal mobility: The culture page describes coaching, mentorship, leadership development and mobility. The New Jersey reporting also includes the employer’s stated intention to provide placement resources and consider suitable internal openings. These are distinct propositions. General development programs and specific redeployment assistance do not establish a transfer success rate, automatic placement or preservation of compensation and service. [S009, S018]
• F17. Learning and development: The brochure describes up to $5,250 annually in tuition reimbursement for approved study and specific development support for eligible clinicians. The military page identifies SkillBridge/Hiring Our Heroes pathways with remaining-service and approval conditions. These are concrete programs with boundaries, not evidence of universal tuition prepayment or a guaranteed permanent job. No program enrollment, reimbursement or conversion outcome was tested. [S006, S008]
• F19. AI adoption and job redesign: The AI/ML role describes architecture, agentic and retrieval workflows, governance, observability and reliability. The associate data role includes responsible use of approved AI assistance. The quality-analyst description calls AI experience highly desirable even though it appears within a required-qualifications region. These are different levels of expectation. The last should not be upgraded into an absolute requirement by a research summary. [S021, S024, S026]
• F20. Future career value: MyTopMatch analysis: the sampled work could develop several transferable capabilities, including clinical documentation, care coordination, pharmacy-system configuration, data pipelines, employer consultation and contract analysis. That conclusion follows from the responsibilities described, not from measured alumni outcomes or a quantified employer-brand premium. The future value depends on what the person can actually do, learn and substantiate. [S022, S025–S027, S033, S035]
• F21. Current hiring activity: Twenty matching official role records were retained, with nineteen substantive descriptions and one partial page. Their displayed posting dates span August 21 to September 11, 2026. All show application links, but no accepting workflow was tested. General minimum-posting language does not establish an end date. The sample is therefore evidence of displayed work and potential leads, not twenty confirmed open positions. [S020–S039]
• F22. Entry requirements and accessibility: The entry routes are varied. Associate Data Engineer requires a high-school/GED foundation and relevant experience while preferring a bachelor’s degree. Licensed clinical roles have specific professional conditions. The Epic jobs require current specialist certifications, whereas the appeals RN route provides a conditional post-hire credential window. These examples support investigating alternatives without assuming that every qualification is negotiable. [S022, S023, S025, S026, S031]
• F23. Recruitment and interview process: The official guide describes application, possible role-specific assessment, review, interview and offer/onboarding. It says review can take several days or weeks depending on circumstances. This is not a guaranteed turnaround or a universal fixed sequence. The job pages point to candidate and internal-application destinations and publish process notices, but no account-based steps were tested. [S007, S020–S039]
• F24. Networking and referral access: The public careers experience supplies a talent-community route, events navigation and candidate-status access. The culture page describes voluntary employee resource groups with networking and mentorship purposes. Those groups are employee programs, not evidence that an outside applicant can join or obtain a referral. No alerts, community enrollment, introductions or contacts were created during the investigation. [S007–S009]
• F25. Onboarding and early success: The enrollment role provides a concrete paid-training duration of three to four weeks. The implementation description refers to training weeks without supplying the number. The appeals RN allows a coding-credential window, and the home-health manager permits a particular CPR completion route. These are actual but different readiness provisions. They do not establish training quality, supervisor availability or how quickly a person becomes fully productive. [S022, S028, S030, S034]
• T01. A diversified organization contains different career commitments: The strongest support for investigating the company is the breadth of actual work in the sample. The strongest boundary is that the work belongs to different businesses, professional contexts and employment arrangements. A clinical review role, a direct-care role and a technology job cannot inherit one another’s schedule, benefit terms or authority. The report’s organizational map should help the reader narrow the inquiry, rather than average those differences into a single employer score. [F02, F13, F18; S010, S022, S025, S033, S038]
• T02. Business recovery can coexist with local workforce changes: Improved interim results are counterevidence to an assumption that earlier financial pressure describes every later period. Particular restructuring and reported reductions are counterevidence to an assumption that scale protects every role. Neither requires discarding the other. The right decision question concerns the specific mandate, how it is funded and which responsibilities have changed. [F01, F03, F04; S001–S003, S018, S019]
• T03. Remote access can carry an office or travel commitment: The explicit hub exceptions coexist with state-specific remote roles, field work and one- or three-day office arrangements. Those differences are useful because they permit a more precise comparison. They do not establish that the employer’s descriptions have no value or that every remote role is misleading. [F08, F09, F14; S020, S023, S027, S028, S033, S036, S039]
• T04. A qualification pathway can be open in one dimension and closed in another: A nondegree data-engineering route does not remove its experience requirement. A post-hire coding credential does not remove the RN license condition. A military fellowship does not become a general returnship. These examples support expanding career exploration through exact requirements rather than broad labels such as “entry level” or “career changer.” [F17, F22, F23; S008, S022, S025, S026]
• T05. Benefits may have substantial value at different times: The retirement-plan sequence makes timing part of the comparison. A joining payment, tuition reimbursement and stock purchase opportunity operate differently. A professional evaluating a short expected tenure needs the actual conditions rather than a single annualized benefits total. No personal valuation is established here. [F12, F13, F15; S004–S006, S033]
• T06. More accountability requires a clear route for professional judgment: Clinical documentation, coding appeals, member engagement and technical governance all involve decisions that can affect others. The opportunity to do meaningful work comes with the need to understand review, escalation and error correction. This is an inference from the described duties, not a conclusion that the company’s controls are uniformly effective or deficient. [F06, F07, F18, F19; S021, S022, S029, S039]
• T07. Legal specificity matters when employment terms depend on a transaction: The Amedisys modified judgment supplies an example of precise, conditional employee-related duties. A generalized claim that the merger is merely proposed would be outdated; a generalized claim that all employees have the decree’s transfer protections would be overbroad. The named population, timing and applicable assets control the interpretation. [F03, F10, F16; S013–S015]
• Career-situation decision lenses: These are original applications of the evidence to general career situations. They do not classify a real person, recommend employing or rejecting anyone, or predict outcomes.
• Questions to resolve before committing: Q01–Q25 appear beside the factors and in the evidence JSON. The sequence below is a proposed decision aid, not UnitedHealth Group’s recruiting process.
• Contradictions, unknowns and refresh priorities: The contradiction register treats differences in scope, timing and source quality separately. Some apparent conflicts are resolved by definitions; others genuinely require further evidence. It is not necessary to choose one broad statement and discard another when they describe different populations.
• Material publication limits: The report has not established individual vacancy acceptance, complete legal employers, actual job offers, benefits enrollment, manager quality, internal promotion distributions or future career outcomes. The New Jersey workforce record is supported by reporting because the underlying notices were unavailable. The Medicare inquiry is described at its verified historical stage; a later final disposition was not established. The DOJ modified-judgment text was read, but its page-image retrieval failed. These limits remain publication-sensitive even though the factor coverage is complete.
• Editorial refresh plan: These are maintenance recommendations, not scheduled services. No monitoring, alerts or future delivery have been created. Historical findings may remain useful when dated accurately; retrieving an old source today does not make its contents new.
• Link usage boundary: The accompanying JSON is a proposed interchange record containing public-company research, not private member information. Future personalization belongs in the member’s protected, authorized context. Preserve source, employer/business scope, role, date, evidence state and unresolved terms. A question should remain unanswered until supported. An inference should not become fact because it is phrased personally.
• J01. Lead Software Engineer - Remote: Requisition 2381861 | Posted 2026-09-08 | Optum Tech. [S020]
• J02. Lead AI/ML Engineer - Remote: Requisition 2388231 | Posted 2026-09-11 | Optum Tech. [S021]
• J03. Senior Clinical Appeals RN - Remote: Requisition 2382207 | Posted 2026-09-11 | Optum Insight. [S022]
• J04. Licensed Behavioral Health Care Manager - Arizona: Requisition 2382953 | Posted 2026-09-11 | Optum. [S023]
• J05. Senior Clinical Quality Analyst: Requisition 2383128 | Posted 2026-09-11 | UnitedHealthcare. [S024]
• J06. Epic Willow Analyst (Certified): Requisition 2388730 | Posted 2026-09-10 | Optum. [S025]
• J07. Associate Data Engineer: Requisition 2380521 | Posted 2026-09-10 | Optum Technology, EVA. [S026]
• J08. Clinical Account Executive: Requisition 2373189 | Posted 2026-09-10 | UnitedHealthcare Employer & Individual, National Accounts. [S027]
• J09. Senior Enrollment Eligibility Specialist: Requisition 2381337 | Posted 2026-09-10 | Optum. [S028]
• J10. Professional Pre-Pay Medical Coding Auditor: Requisition 2384231 | Posted 2026-09-10 | Optum. [S029]
• J11. Associate Specialty Implementation Manager: Requisition 2385783 | Posted 2026-09-10 | Optum Rx. [S030]
• J12. Epic Beacon Analyst - Remote: Requisition 2380217 | Posted 2026-09-01 | Optum Insight, EHR Services. [S031]
• J13. LVN I/II/III - Kelsey Seybold Clinic - Downtown: Requisition 2386107 | Posted 2026-09-09 | Kelsey-Seybold (title identification). [S032]
• J14. Field RN Case Manager - Senior Living Communities - Salem, OR Area: Requisition 2379148 | Posted 2026-09-08 | Optum Home & Community Care, Senior Community Care. [S033]
• J15. Patient Care Manager, RN: Requisition 2388084 | Posted 2026-09-04 | Mederi Caretenders, LHC Group, Optum. [S034]
• J16. Associate Director, Network Contracting - Remote in NY, NJ, CT: Requisition 2381044 | Posted 2026-09-09 | Optum. [S035]
• J17. Consultant, Healthcare Economics (hybrid): Requisition 2380065 | Posted 2026-08-21 | WellMed, Optum. [S036]
• J18. Senior Financial Analyst: Requisition 2383721 | Posted 2026-08-28 | Optum California Operations Finance. [S037]
• J19. Staff Pharmacist - Per-Diem: Requisition 2382019 | Posted 2026-09-04 | CPS, Optum; assigned hospital named in body. [S038]
• J20. Clinical Pharmacist - Schaumburg, IL: Requisition 2384933 | Posted 2026-09-09 | UnitedHealthcare. [S039]
• S001: UnitedHealth Group Incorporated: 2025 Form 10-K. UnitedHealth Group / SEC. Publication date: not established. Event reference: 2026-03-02. Period: Calendar years ended December 31, 2023, 2024 and 2025; year-end 2025 workforce. Accessed: 2026-09-12.
• S002: UnitedHealth Group Incorporated: second-quarter 2026 Form 10-Q. UnitedHealth Group / SEC. Publication date: not established. Period: Quarter and six months ended June 30, 2026; June 30 balances. Accessed: 2026-09-12.
• S003: UnitedHealth Group reports second-quarter 2026 results. UnitedHealth Group. Publication date: 2026-07-16. Period: Quarter and six months ended June 30, 2026. Accessed: 2026-09-12.
• S004: UnitedHealth Group 401(k) Savings Plan: 2025 Form 11-K. UnitedHealth Group 401(k) Savings Plan / SEC. Publication date: not established. Event reference: 2026-01-01. Period: Plan year ended December 31, 2025 with disclosed 2026 amendment. Accessed: 2026-09-12.
• S005: U.S. employee benefits. UnitedHealth Group Careers. Publication date: not established. Accessed: 2026-09-12.
• S006: 2026 U.S. Benefits Brochure. UnitedHealth Group. Publication date: not established. Period: 2026 benefits summary; revision February 2026. Accessed: 2026-09-12.
• S007: Job seeker resources and hiring process. UnitedHealth Group Careers. Publication date: not established. Accessed: 2026-09-12.
• S008: Military Fellowship Program. UnitedHealth Group Careers. Publication date: not established. Accessed: 2026-09-12.
• S009: Culture of Belonging. UnitedHealth Group Careers. Publication date: not established. Accessed: 2026-09-12.
• S010: Our businesses. UnitedHealth Group. Publication date: not established. Accessed: 2026-09-12.
• S011: UnitedHealth Group announces leadership transition. UnitedHealth Group. Publication date: 2025-05-13. Event reference: 2025-05-13. Accessed: 2026-09-12.
• S012: UnitedHealthcare cuts prior authorization requirements by 30 percent. UnitedHealth Group / UnitedHealthcare. Publication date: 2026-05-05. Period: Announced initiative through end of 2026. Accessed: 2026-09-12.
• S013: U.S. and Plaintiff States v. UnitedHealth Group and Amedisys: case record. U.S. Department of Justice, Antitrust Division. Publication date: not established. Event reference: 2026-02-03. Period: Complaint November 12, 2024 through listed February 2026 modification. Accessed: 2026-09-12.
• S014: UnitedHealth Group/Amedisys: Modified Final Judgment. U.S. District Court; DOJ-hosted copy. Publication date: 2026-02-03. Event reference: 2026-02-03. Accessed: 2026-09-12.
• S015: Consent motion to modify final judgment. U.S. Department of Justice; filed motion. Publication date: 2026-02-02. Event reference: 2026-02-02. Accessed: 2026-09-12.
• S016: UnitedHealth Group responds to Department of Justice investigation. UnitedHealth Group. Publication date: 2025-07-24. Event reference: 2025-07-24. Accessed: 2026-09-12.
• S017: UnitedHealth confirms federal investigation into Medicare business. Associated Press. Publication date: not established. Period: July 2025 reported development. Accessed: 2026-09-12.
• S018: Optum to lay off 572 in New Jersey, cease behavioral health services in the state. Behavioral Health Business / Ashleigh Hollowell. Publication date: 2025-11-05. Period: Planned February–March 2026 workforce changes. Accessed: 2026-09-12.
• S019: UnitedHealthcare offers buyouts to some employees, CNBC reports. Reuters. Publication date: 2025-02-19. Period: February 2025 offer and prospective 2025 exits. Accessed: 2026-09-12.
• S020: Lead Software Engineer - Remote. UnitedHealth Group Careers. Publication date: 2026-09-08. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S021: Lead AI/ML Engineer - Remote. UnitedHealth Group Careers. Publication date: 2026-09-11. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S022: Senior Clinical Appeals RN - Remote. UnitedHealth Group Careers. Publication date: 2026-09-11. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S023: Licensed Behavioral Health Care Manager - Arizona. UnitedHealth Group Careers. Publication date: 2026-09-11. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S024: Senior Clinical Quality Analyst. UnitedHealth Group Careers. Publication date: 2026-09-11. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S025: Epic Willow Analyst (Certified). UnitedHealth Group Careers. Publication date: 2026-09-10. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S026: Associate Data Engineer. UnitedHealth Group Careers. Publication date: 2026-09-10. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S027: Clinical Account Executive. UnitedHealth Group Careers. Publication date: 2026-09-10. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S028: Senior Enrollment Eligibility Specialist. UnitedHealth Group Careers. Publication date: 2026-09-10. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S029: Professional Pre-Pay Medical Coding Auditor. UnitedHealth Group Careers. Publication date: 2026-09-10. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S030: Associate Specialty Implementation Manager. UnitedHealth Group Careers. Publication date: 2026-09-10. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S031: Epic Beacon Analyst - Remote. UnitedHealth Group Careers. Publication date: 2026-09-01. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S032: LVN I/II/III - Kelsey Seybold Clinic - Downtown. UnitedHealth Group Careers. Publication date: 2026-09-09. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S033: Field RN Case Manager - Senior Living Communities - Salem, OR Area. UnitedHealth Group Careers. Publication date: 2026-09-08. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S034: Patient Care Manager, RN. UnitedHealth Group Careers. Publication date: 2026-09-04. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S035: Associate Director, Network Contracting - Remote in NY, NJ, CT. UnitedHealth Group Careers. Publication date: 2026-09-09. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S036: Consultant, Healthcare Economics (hybrid). UnitedHealth Group Careers. Publication date: 2026-08-21. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S037: Senior Financial Analyst. UnitedHealth Group Careers. Publication date: 2026-08-28. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S038: Staff Pharmacist - Per-Diem. UnitedHealth Group Careers. Publication date: 2026-09-04. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.
• S039: Clinical Pharmacist - Schaumburg, IL. UnitedHealth Group Careers. Publication date: 2026-09-09. Period: Display inspected 2026-09-12. Accessed: 2026-09-12.

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

• Overview: A person looking at Walmart might see a nearby store and a possible paycheck. Another might see a route into pharmacy, logistics leadership or advanced software work. Both views can be grounded in the company’s advertised opportunities. They lead to very different decisions.
• A large business can still change the work it needs: Walmart reported $713.163 billion in consolidated revenue and $29.825 billion in operating income for FY2026, which ended January 31, 2026. The latest interim filing covers the quarter ending July 31. Those resources matter when considering an organization’s capacity to invest. They cannot establish security for a specific job. [S001, S003]
• The advancement evidence is worth reading carefully: Walmart reports that approximately 75% of U.S. salaried store, club and supply-chain leaders began in hourly positions. It also reports substantial internal filling of above-entry roles and promotion activity. These are meaningful descriptions of movement within the organization. [S010, S011]
• A skills-first route still has requirements: Walmart says more than 90% of U.S. roles do not require a college degree. The sampled job descriptions show why that statement deserves a careful reading. Some advanced software and product roles provide experience-only alternatives to degree-based routes. They still require substantial relevant experience. [S011, S113, S114, S119]
• Training becomes valuable when it is usable: Live Better U covers tuition and books for eligible offerings, and Walmart describes both education and practical career pathways. Its June 2026 Associate-to-Optician announcement is one example of a route that goes beyond a general learning catalog. Current participation, prerequisites and placement conditions still need confirmation. [S012, S028]
• The schedule can change the meaning of the pay: The job sample shows why a single Walmart wage figure cannot answer an offer question. The Eastvale maintenance page advertises $33.55–$37.05 per hour. The Amite pharmacy-manager page lists $112,000–$197,000 per year. A senior engineering requisition publishes different ranges for Arkansas and California. These figures describe different work and locations; none is an observed offer. [S106, S107, S113]
• Benefits have a calendar: The public 401(k) summary describes a match on up to 6% of eligible pay. The benefits book adds the service and credited-hours conditions that determine when matching starts. The ability to make one’s own contributions and the start of employer matching are different events. [S012, S013]
• A job page can teach you something without proving a vacancy: Our review checked twenty-one distinct official role URLs. Nineteen returned detailed descriptions; two returned job-not-found results. Two of the detailed pharmacy descriptions explicitly identified future-opening pools. The remaining seventeen were advertised pages, but application acceptance was not tested. [S101–S119, S190, S191]
• The local questions decide whether the opportunity fits: Public research can establish financial results, program descriptions and advertised job terms. It is less able to establish what a particular supervisor is like, whether a team has adequate resources or how its schedules work in practice.
• Research note: This MyTopMatch article is derived from a 25-factor public-source dossier researched on September 15, 2026, primarily for U.S. employment. The register contains 50 accessible source records and two unsuccessful role-page checks. Employer-reported programs and selected experiences are distinguished from independent reporting and agency records. No original employee interviews, representative satisfaction survey, application submissions or benefit enrollment tests were conducted. Job availability, individual terms and volatile facts require rechecking before use. This article was published after owner authorization on September 22, 2026.

VERIFIED: Published public company-report registry; findings remain attributed to the report. Reviewed 2026-09-30.

• Overview: **American Express offers exposure to payments, customer relationships and complex technology. Its business results provide useful context, while the quality of a career decision depends on the team, the work and the terms of the offer.**
• A growing business can still reshape a team: American Express reported $72.229 billion in 2025 revenue net of interest expense, compared with $60.515 billion in 2023. Net income reached $10.833 billion in 2025. The latest reviewed interim results also show growth: first-half 2026 revenue was $38.544 billion, compared with $34.823 billion a year earlier. [S002] [S005] [S006]
• Understand which part of the business you would join: The public strategy emphasizes premium consumer and commercial payments, network activity, international growth and technology-enabled customer experience. Dining is also part of the story. In June 2026, American Express and Tripadvisor announced a proposed $700 million acquisition of TheFork, subject to conditions. A later closing was not verified for this research, so TheFork's workforce is not treated as part of the current employer population. [S002] [S032] [S033]
• Flexibility needs a role-specific definition: The official New York and Phoenix careers pages describe onsite or hybrid work under Amex Flex, depending on role and business requirements. They do not establish a universal fully remote option or a fixed attendance schedule for every employee. [S018] [S019]
• Development programs are worth examining in practical terms: American Express advertises Amex U, Career Growth @ Amex and Project MarketPlace, which provides short-term cross-functional project opportunities. Finance materials describe a Global Job Rotation Program and continuing professional education. Technology materials describe both expert and people-leadership paths. [S010] [S011] [S014]
• AI is already part of the reported work environment: A September 2025 company engineering article describes Travel Counselor Assist and Colleague Help Center Knowledge Assist within servicing workflows. The tools are intended to provide contextual support and retrieve answers from approved knowledge. This is a company-authored account of operational use, rather than an independently tested productivity study. Its published satisfaction and accuracy figures have measurement limitations and should not be treated as current results for every team. [S057]
• Pay and benefits require a clean comparison: The accessible compensation evidence was uneven. Some fields were labeled total pay rather than base salary. One internship amount was explicitly modeled by the platform. An executive-assistant copy displayed different hourly ranges in separate fields. None of those observations is a verified current individual offer. [S039] [S047] [S051]
• Ask how the organization handles a difficult decision: In January 2025, American Express entered a non-prosecution agreement concerning historical wire-product sales conduct. It included admitted facts and financial penalties. The government also credited cooperation and remediation. Separate civil allegations were resolved under different terms and should not all be described as admitted misconduct. [S022] [S023] [S024]
• Make the decision at the level where the work happens: American Express offers several kinds of work worth understanding on their own terms. The potential value may lie in payments reliability, regulated product judgment, customer service or commercial execution. That value depends on access to meaningful responsibilities, capable supervision and enough resources to produce results that the professional can legitimately demonstrate. This is career analysis, not a promise of advancement. [S013] [S043] [S049] [S058]
• Research method and limitations: This article draws on annual and interim filings, official career and policy materials, government records, company technical writing, limited independent reporting and a small set of attributed employee/candidate accounts. Fourteen detailed third-party U.S. job copies were examined. **No original employer posting was authenticated as active** because attempted official requisition pages returned unreadable bodies; this does not mean the company has no vacancies. One copied role was closed and another had conflicting status indicators. The sample is non-statistical and concentrated in New York. No employees were interviewed, applications submitted or tools tested. Benefits and terms remain role-specific; legal and acquisition developments require refreshed verification before current-status claims. [S039]–[S056]

VERIFIED: Published public company-report registry; findings remain attributed to the report. Reviewed 2026-09-30.

• Overview: Goldman Sachs is investing in selected parts of its business while changing how work gets done. For someone considering a role there, both developments matter. An expanding business can create substantive opportunities. A redesign program can alter a position's responsibilities, location or supporting resources. The useful question is where the proposed job sits within those changes. [S12-S17; C014-C017, C054]
• Stronger results provide context for the career decision: Goldman's consolidated net earnings increased from $8.516 billion in 2023 to $14.276 billion in 2024 and $17.176 billion in 2025. Its latest reported quarter at the research date, Q2 2026, produced $20.34 billion in net revenues and $6.63 billion in net earnings. The same quarter in 2025 produced $14.58 billion and $3.72 billion respectively. [S04, S07-S08, S14; C003, C008-C009]
• Expansion is visible in engineering and investment products: Goldman opened a Bellevue, Washington engineering office in September 2026, with capacity for more than 125 employees and a stated focus on AI and cloud transformation. Office capacity is evidence of a physical commitment. It is not a verified count of new hires or available vacancies. [S15; C014]
• AI adoption raises questions about tasks and accountability: Reuters reported a firmwide rollout of GS AI Assistant in June 2025. Goldman's subsequent strategy describes workflow redesign across areas including client onboarding, regulatory reporting, lending and enterprise risk. This is evidence of workplace deployment and operating-model attention, rather than a claim based solely on a technology vendor's announcement. [S12, S37; C043-C044]
• The prospective manager deserves as much attention as the brand: Goldman's public training material describes a Three Conversations structure for goals, progress and year-end review. It also describes orientation and development programs. These provide a useful framework for asking about management support. They do not show how consistently every team follows the framework. [S23; C021, C042]
• Work arrangements need written confirmation: Goldman's public benefits page permits manager-approved flexible arrangements. Historical reporting described a five-day office policy. Those statements may reflect a default rule and exceptions, or different dates and populations. They do not establish a universal remote or hybrid entitlement for a September 2026 hire. [S22, S35; C024]
• Salary ranges are useful when their boundaries stay attached: Three detailed secondary-board descriptions supplied concrete New York base-pay evidence. An investment-grade capital-markets associate listing advertised $150,000 to $225,000 annually. A legal administrative-assistant listing advertised $70,000 to $110,000. [S31, S33; C027, C029]
• Advancement depends on access to the right work: Goldman describes formal learning and milestone programs, but eligibility varies. Pine Street leadership development, for example, applies to partners and selected managing directors. A development program's existence does not establish protected learning time or admission for every employee. [S23; C042]
• Fair treatment and employee voice require specific questions: Goldman publishes integrity-reporting channels and a non-retaliation policy. A published process establishes a route for raising concerns; it does not independently demonstrate how effectively every concern is handled. [S39; C046]
• Judge the role by the work it will let you demonstrate: The strongest career case for a Goldman role rests on the capabilities it can develop and the contribution it allows a professional to make. Financing execution, client development, regulated operations and governed technology implementation offer different kinds of experience. Their future value depends on actual responsibility, feedback and results that can be explained without exposing confidential information. [S15, S31-S33, S37; C053, C059]
• Research method and limitations: This article draws on SEC filing components, official results and announcements, public careers materials, original legal records, independent reporting and a limited set of employee-review excerpts. The job review found seventeen distinct secondary-board records, with only three detailed descriptions and fourteen additional cards, all in New York or Jersey City. Official careers interfaces were not readable in this run, so no requisition was verified as active in the official system. Board visibility does not establish current hiring availability. Employee accounts are attributed experiences, not representative workforce findings. Recheck volatile claims before publication or an application decision. No employee interviews, publication, applications or Link integration were performed. [S31-S34, S44-S45; C035-C036]

VERIFIED: Publicly visible publication returned by the existing publication store allowlist. Reviewed 2026-09-30.

• Overview: **HCA’s national network offers structured development and a wide range of clinical and business work. The conditions that shape a career still require close examination at the hospital, practice or operating team.**
• Development opportunities have identifiable structures: HCA advertises a paid, year-long nurse residency that includes preceptorship, simulation, recurring learning and mentorship. Its current St. Mark’s new-graduate posting offers a concrete example of that route. Separately, the company reports workforce development pathways and leadership programs. [S009] [S116] [S012] [S014]
• Staffing questions belong in the interview: The official Staffing Optimization Analyst posting is unusually informative about the operating context. It concerns labor-cost analysis, staffing systems and floating or flexing resources. The surgical-services director posting combines staffing and quality responsibilities with productivity and budget management. [S109] [S115]
• Employee accounts point toward local variation: Public experience evidence does not produce a single reliable company-wide verdict. One selected nursing account described supportive learning and supplies at a former HCA unit while expressing dissatisfaction with pay. Another described leaving an emergency nursing residency early amid pressure and difficulty obtaining adequate preceptor support. [S023] [S024]
• Read the employment terms carefully: The current posting sample contains differences that could materially change an offer decision. A Parallon training-developer role is advertised as work from home, but the employee must live and work within 60 miles of an HCA hospital in specified states. A Nashville clinical-downtime informatics position is hybrid and requires up to 25% travel. [S105] [S107]
• Compare compensation on a consistent basis: The inspected Colorado postings advertise hourly ranges of $36.68–$53.52 for a rehabilitation RN, $20.04–$30.06 for a pharmacy technician specialist and $33.44–$51.26 for a CT technologist. These are different occupations and shifts, not substitutes for a local market comparison. HCA describes its advertised ranges as typical candidate hiring ranges and says hiring is generally below the midpoint. [S117] [S118] [S119]
• Technology changes the work employees must learn: HCA reports EHR modernization through MEDITECH Expanse, with 50 acute-care facilities live as of January 2026. Its target for converting facilities using MEDITECH Magic is the end of 2028. That is an EHR program, distinct from the company’s generative-AI initiatives. [S011]
• Employee voice and local concerns require current evidence: HCA publishes ethics reporting routes and a commitment against retaliation for good-faith reports. These establish a formal process to investigate. They do not prove how a specific concern would be handled. [S015]
• Decide what the role will enable you to do: The potential career value of an HCA position lies in the capability and experience it can develop. The sampled work includes regulated clinical practice, revenue-cycle administration, financial controls and enterprise clinical-workflow responsibilities. Those opportunities should be assessed through the work the employee will actually own. [S107] [S110] [S114] [S118]
• Methodology and limits: This article draws on a 25-factor dossier using official disclosures and policies, 20 distinct official job pages, government and court material, independent reporting, a union account and four selected first-person accounts across three public nursing threads. All 20 job pages displayed Apply controls at the September 21 check; no application was submitted and internal vacancy authorization was not verified. Experience accounts are unverified and nonrepresentative. Legal and facility-level safety coverage is incomplete. The article does not rank HCA or predict any individual’s employment outcome.

VERIFIED: Published public company-report registry; findings remain attributed to the report. Reviewed 2026-09-30.

• Overview: A hardware program leader, research lawyer and quantitative researcher can work under the Meta name while facing different expectations, decision rights and employment conditions. The role descriptions examined for this research make those differences visible. So do the company’s financial disclosures and the changes reported inside its organization. [S101, S110, S112]
• Read the financial strength alongside the investment burden: Meta reported $200.966 billion in 2025 revenue. In the first half of 2026, revenue reached $117.111 billion, compared with $89.830 billion a year earlier. Operating cash generation also increased. Those figures establish considerable commercial resources. [S001, S003, S004]
• The workforce number needs its footnote: Meta’s June 30 headcount was 75,472. The release says this includes approximately 8,000 employees affected by the May reduction, most expected to leave payroll by the end of Q3. It is not a completed post-reduction workforce count. [S004]
• Look beyond model research for the actual work: The inspected descriptions include network operations, hardware introduction, logistics, developer support, software for internal operations, HR leadership, research law, design and client relationships. The work is broader than a single AI-research career path. [S101–S115]
• Establish the manager’s capacity and the current impact standard: Meta’s annual filing describes feedback and development mechanisms. Reporting during 2026 also describes adjustments to oversight after mistakes in the AI reorganization. Those sources address different levels of the organization; neither establishes how supportive a particular manager will be. [S001, S013]
• AI experience should include judgment and verification: Meta’s KernelEvolve account describes agent-assisted infrastructure optimization. Global Operations and developer-support copies connect AI tools with established professional work. These are concrete subjects to investigate during an interview. [S020, S106, S111]
• Get the location commitment in writing: Work-arrangement evidence varies by business, date and population. Earlier reporting described a three-day hybrid arrangement. A later report, confirmed by Meta, described five-day office attendance for Instagram beginning in February 2026, with fully remote employees excepted. [S018, S019]
• Separate salary, bonus, equity and benefits: The sample contains substantial advertised base ranges, but it is not a salary survey. NPI leadership advertises $199,000–$272,000 annually; HR Director, Facebook, $230,000–$293,000; and research counsel, $202,000–$274,000. Each belongs to a dated description and location. The latter two hosts marked the roles closed. [S101, S102, S112]
• Understand the obligations attached to the role: The court entered the Meta/state attorneys-general consent judgment on August 26. The signed record supersedes earlier pending-approval language. It includes applicable communication and audit obligations without an admission of wrongdoing. [S024–S026]
• Verify the opening before investing in the process: The largest limitation is the hiring sample. Fifteen distinct third-party copies were examined: five displayed apply controls, ten displayed closure notices, and two apply records concerned cross-team pools. No original employer posting was authenticated as active. That is an access limitation, not evidence that Meta has no openings. [S101–S115, S201–S203]
• Research note: This article derives from a 25-factor public-source dossier researched September 22, 2026, primarily for U.S. employment. The register has 55 source/access records: 47 originally readable, including 15 job copies, and eight unavailable. Two previously read sources returned errors on repeat export-stage retrieval; those limits are retained. Company statements, independent reporting, legal records and two edited anonymous candidate accounts remain distinct. No representative survey, original employee interviews, applications, benefits enrollment or AI tool tests were conducted. Individual terms, current vacancies and unresolved case outcomes require rechecking. Published on MyTopMatch on September 22, 2026 after owner authorization. No member data, recruitment process, or Link integration was changed.

VERIFIED: Published public company-report registry; findings remain attributed to the report. Reviewed 2026-09-30.

• Overview: Microsoft is large enough to support very different careers. The same company can represent an opportunity to build enterprise software, lead a product, develop commercial expertise, enter human resources, or maintain the physical systems behind digital services. Its current careers material gives concrete examples of those different paths. [S028, S029, S038, S041–S045]
• A strong company can still change the work it needs: Microsoft's fiscal 2026 results show considerable financial scale: $331.839 billion in revenue and $155.237 billion in operating income. The year-end release also records substantial cash investment in property and equipment. These figures provide context for the company's capacity to operate and invest. They do not establish job security for a particular team. [S001]
• Look beyond the familiar technology roles: Microsoft's public career paths extend into finance, human resources, sales, operations, and other disciplines. Its Finance Rotation Program describes four six-month rotations. HR Rotation describes a different development sequence. Datacenter Academy and Leap address other routes into technical work. Each program has its own audience and conditions. [S028–S031, S038]
• “Working at Microsoft” does not describe one schedule: The company's September 2025 flexible-work announcement set an initial three-day office expectation for employees within 50 miles of a Puget Sound office, with an end-February 2026 target and further phases. Individual listings in the research sample nevertheless described different arrangements, including remote, one-day, three-day, and fully onsite work. Those statements concern different roles and scopes. [S016, S032, S042, S043, S045]
• Read compensation as a set of terms: The sample includes annual, hourly, and monthly base-pay disclosures. Some listings span more than one career stage, with additional geographic bands. Those are different measures attached to different work. Combining them into an “average Microsoft salary” would create a misleading number. [S029, S041–S045]
• Internal movement is real evidence, with important unanswered questions: Microsoft's July workforce message reported that more than 4,000 employees had been redeployed during the preceding year. That is evidence that internal movement has been part of the company's response to changing work. The statement does not reveal how many people sought a move, how long placement took, or what happened to level and compensation. [S013]
• Examine how expectations are changing: Several sampled jobs involve applied AI, production workflows, evaluation, or measurement. Microsoft's internal Digital organization has also published a case study describing employee councils involved in AI deployment. These sources point to specific changes in work, without establishing a single uniform AI requirement across the company. [S027, S041, S043, S044]
• Formal values and lived experience require different evidence: Microsoft's culture and compliance material describes learning, inclusion, reporting channels, and nonretaliation commitments. Those statements matter because they establish intended standards. They do not independently demonstrate every employee's experience. [S039, S040]
• Evaluate the experience you would carry forward: A career decision has a second horizon beyond the offer. What would the person learn and deliver, and how would that experience support later choices?
• The decision belongs at the level of the real job: Microsoft deserves serious investigation as a career destination because the available record shows a wide range of work and substantial organizational resources. The same research shows why the final decision cannot be delegated to those facts alone. [S001, S038]
• Research note: This article draws on the companion 25-factor dossier and its 45 substantive sources. The 15-role sample is purposive and nonrepresentative; it is not a count of all vacancies. One displayed internship had a passed deadline. Application submission, personal benefit terms, and authenticated candidate workflows were not tested. FY2026 financial figures come from the official year-end release, whose tables are labeled unaudited; the full current 10-K body could not be retrieved. No employee interviews or representative review-platform survey were conducted. The report was approved for publication on September 12, 2026 and remains unconnected to Link.

VERIFIED: Published public company-report registry; findings remain attributed to the report. Reviewed 2026-09-30.

• Overview: A useful way to evaluate an OpenAI opportunity is to start with the work you would own. Who needs the result? What resources are available? Which decisions can you make? How will the company assess your contribution when priorities change?
• Establish what the position actually is: OpenAI's structure separates nonprofit control from its commercial business. OpenAI Foundation controls OpenAI Group PBC. The employment privacy notice also names OpenAI OpCo, LLC and affiliates. The inspected role pages display the OpenAI brand, so an offer still needs to identify the actual legal employer and worker classification. [S001, S003, S025]
• Read the financing story with the right definitions: OpenAI's January business account reported ARR of $2 billion for 2023, $6 billion for 2024 and more than $20 billion for 2025. ARR is a run-rate indicator. It does not supply audited annual revenue or tell a candidate what cash remains available. [S012]
• Separate base pay from the equity story: The official descriptions make compensation visible, but individual terms remain essential. The 3P Systems Architect posting displayed $342,000-$555,000, while Senior Manager, Financial Reporting displayed $216,000-$240,000, each with equity additional. These are advertised ranges for different jobs, not observed average salaries or individual offers. The retrieved HTML did not explicitly label the salary period, which should be confirmed in writing. [S103, S107]
• Resolve location and schedule before making commitments: Several inspected roles specify three office days. Account Associate names Monday through Wednesday. Application Security includes possible remote consideration. The weekend AI Support Engineer role instead describes five eight-hour days including a weekend day, with additional on-call language. [S101, S105, S114]
• Investigate how autonomy works under pressure: OpenAI presents agency and intense focus among its values. Those statements explain the employer's intended expectations; they do not establish how every manager behaves. [S006]
• Safety and AI use are part of the job design: For some OpenAI roles, the responsibility attached to the work is consequential. The July 2026 research-environment incident gives candidates a specific event to examine rather than relying entirely on statements of values.
• Match the entry route to the actual requirements: The sample does not support one universal educational threshold. Alignment describes a relevant PhD or equivalent experience. Site Operations accepts several educational, military or practical routes. Financial Reporting specifies an active CPA, while Senior Counsel requires a JD and California practice eligibility. [S111, S115, S107, S118]
• Make the offer specific enough to evaluate: Before accepting, the team should be able to explain the funded role, the work location, the compensation components and the resources needed to deliver. It should also be able to describe early expectations and how the manager will review progress.
• Research note: This article draws on a 25-factor public-source investigation, primarily scoped to US employment, as of September 22, 2026. Twenty distinct official role descriptions were inspected with Apply controls present; one is a cross-team pool. Their linked application pages returned only JavaScript-required content, so end-to-end application acceptance was not tested. The sample is purposeful, not statistically representative. Employee-experience coverage is one first-person account whose employment identity was not independently authenticated. No employees were interviewed. Audited financial accounts, binding individual terms and comprehensive current court/regulatory dispositions were not obtained. Employer announcements and programs are attributed descriptions, not verified individual outcomes.

VERIFIED: Published public company-report registry; findings remain attributed to the report. Reviewed 2026-09-30.

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• Career-change models are easy to overstate. A system can rank many observed destinations near the top and still be too dependent on occupational size, weakly calibrated, unstable across surveys, or misleading for individual decisions.
• MyTopMatch designed Article 10 around that risk. Before inspecting the held-out test results, the research protocol froze the cohorts, model features, evaluation metrics, and release thresholds. The question was not simply whether the model performed better than chance. The question was whether it passed every condition required before MyTopMatch would publish transition rankings.
• It did not.
• The model’s weighted macro AUC was 0.925, with an independent 95% person-cluster bootstrap interval of 0.916 to 0.933. Its top-ten recall was 48.9%, with an interval of 45.4% to 52.6%. These are strong discrimination and retrieval results in a 349-candidate destination task.
• The release rule required more. Four analytical gates passed and four failed. MyTopMatch is preserving the preregistered decision rather than changing a threshold after seeing the result.
• For each observed occupation change, the model ranked every eligible detailed occupation other than the worker’s source occupation. The frozen universe contained 350 occupations, which created 349 possible destinations per event.
• The model combined twelve transparent features:
• The statistical form was a regularized pairwise logistic utility model. Training used 20 sampled negative destinations for each observed transition; final evaluation used the full set of 349 candidates. Feature scaling was learned from the training cohort only. Regularization and one score-to-probability temperature were selected using the validation cohort. The held-out test cohort was used once for final metrics and the gate decision.
• Monthly CPS records were linked conservatively through public-use household and person identifiers, month-in-sample progression, and consistency checks for sex, race, and age progression. The primary population was civilian employed wage-and-salary workers ages 18–64 with usable occupation mappings and occupations inside the frozen coverage universe.
• The cohorts were separated by person. A person assigned to an earlier cohort could not enter a later cohort.
• The Census Bureau did not collect an October 2025 CPS during the federal funding lapse, so no October microdata file exists. The missing September-to-October and October-to-November links were not imputed. July 2026 was used only to observe destinations for June 2026 origin records. The Census Bureau’s CPS methodology describes the survey’s 4-8-4 rotation pattern, which creates the month-to-month overlap that makes conservative linkage possible (CPS methodology; CPS linking guidance; CPS data and footnotes).
• ROC AUC and top-k recall answer different questions. AUC evaluates pairwise ranking across candidate destinations. Top-k recall asks whether the observed destination falls within a shortlist. Neither measure establishes that a destination is advisable, legally accessible, available locally, or feasible for a specific person.
• The companion workbook records the unrounded values and the exact calculation for each gate.
• An observed destination model can look impressive by learning where many people already work. Large occupations attract more moves simply because they offer more jobs and more hiring opportunities.
• The employment-size baseline reached a weighted macro AUC of 0.887 and top-ten recall of 39.4%. The full model improved AUC by 0.038, short of the 0.050 requirement. Its 48.9% top-ten recall was 24.2% higher than the stronger CPS baseline, just below the required 25% relative improvement.
• A content-only baseline, built from occupational similarity without the full set of labor-market features, reached AUC 0.772 and top-ten recall 28.2%. The comparison indicates that occupational content contributes predictive structure. The stronger employment-size result also shows that market prevalence remains a major part of observed mobility.
• Expected calibration error was 0.05146, approximately 0.00146 above the frozen ceiling. The miss was narrow. The rule applies at full precision.
• Calibration is especially important when scores are converted into probabilities. A model can order destinations well while assigning confidence levels that do not align with observed frequencies. MyTopMatch will not publish individual transition probabilities from this model. Even a well-calibrated population model would not, by itself, produce a personal probability of success.
• The calibration bins are included in the companion workbook. The highest-confidence bin contained only 13 events, so it should not carry broad interpretation.
• For transitions with an absolute destination-versus-source OEWS median-wage difference of at least 5%, the model’s highest-ranked destination pointed in the same up-or-down wage direction as the observed move 61.5% of the time. The independent 95% person-cluster interval ranged from 57.6% to 65.3%, excluding 50%.
• This gate passed. The content-only baseline reached 63.5%, higher than the full model’s 61.5%, while the employment-size baseline reached 58.8%. The wage-direction test therefore supports directional signal above chance and does not establish superiority over every baseline.
• The measure uses occupational median wages from May 2025 OEWS. It does not use a worker’s actual earnings, benefits, hours, bargaining position, or local offer. It cannot estimate the causal pay effect of changing careers (BLS OEWS tables).
• Occupation codes can change because of reporting or coding noise. The stable-transition sensitivity restricted the test to 541 changes for which the source occupation repeated in the preceding linked month or the destination repeated in the following linked month. Weighted macro AUC remained 0.923 and top-ten recall remained 48.8%, satisfying the frozen sensitivity gate.
• Among reportable demographic and credential groups with at least 100 transitions, the maximum within-dimension AUC gap was 0.020. This is below the 0.10 gate. Samples below 100 transitions were suppressed.
• That diagnostic is a screening result. It does not prove equal performance for all workers, fairness at the individual level, or adequate measurement for suppressed groups. The model is not approved for individual use.
• The 2025 Survey of Income and Program Participation provides monthly job states for calendar-year 2024. MyTopMatch constructed a separate 99-transition sensitivity sample spanning 83 people and 46 origin occupations. It was not pooled with CPS, and no person-level cross-survey linkage was attempted.
• The full model reached AUC 0.907 and top-ten recall 48.5% in this small sample. The employment-size baseline reached top-ten recall 49.8%. Because the model did not meet or exceed the stronger baseline, the external directional gate failed.
• The SIPP result has substantial uncertainty. The Census Bureau notes data-collection complications and a lower-than-average national unit response rate for the 2025 SIPP. Those limits are reasons for caution, not reasons to waive the preregistered gate (2025 SIPP data and release notes).
• Career Mobility, Career Switchability, and the mobility-dependent portion of Career Resilience rely on credible destination ranks or transition evidence. Publishing occupation lists after a gate failure would make the research rule optional.
• Article 10 therefore releases the validation record and the stop decision. It does not release:
• The study supports a cautious conclusion: occupational content and labor-market structure can help describe where workers moved in the observed population. The evidence is insufficient to tell an individual where they should move.
• A real career decision can depend on location, licensing, scheduling, health, caregiving, discrimination, professional networks, savings, employer demand, and the quality of a specific job offer. Version 1.0 includes no geographic feature and does not observe every practical barrier.
• Workers may use the eventual research as one input after the model passes a fresh validation. They should continue to confirm local requirements, compensation, working conditions, and personal constraints directly.
• The 2026 test cohort is now spent. It cannot be used to choose new features, thresholds, regularization, or calibration and still serve as an untouched test.
• Before a second model is fitted, MyTopMatch should freeze a version 2 protocol that:
• Civilian employed wage-and-salary workers ages 18–64 observed in consecutive CPS months, with Grade A/B occupation mapping and source and destination occupations inside the frozen 350-occupation universe.
• An observed occupation change occurs when the mapped source and destination National Employment Matrix occupations differ. Same-occupation links remain in descriptive quality assurance and are excluded from destination-choice events.
• Symmetric pairwise L2-logistic utility model with twelve prespecified features; 20 sampled negative destinations per training event; training-only scaling; validation-only selection of regularization (C=10) and temperature (1.051196); full 349-candidate softmax evaluation in the test cohort.
• Headline metrics use CPS weights. Independent uncertainty intervals use 2,000 person-cluster bootstrap draws. The original fitting program used 1,000 person-cluster draws; the independent intervals are reported because they reproduce the same conclusions with more resamples.
• The frozen pipeline’s independent program recorded 22 of 22 successful quality checks, including cohort isolation, count reproduction, metric reconstruction, calibration, interval checks, and the release decision. For Article 10 production, MyTopMatch also reconstructed all eight analytical gates from immutable aggregate outputs using the exact protocol thresholds. The result matched the frozen gate file — four passes, four failures, and a withholding decision.
• The current production session verified all 29 files against the release-package manifest. Protected row-level events, person hashes, and transition matrices were not included in the publication package and were not rerun during article production.
• No. AUC is a ranking measure, not a percent-correct rate. It reflects how often the observed destination receives a higher score than a nonchosen candidate within the evaluation design.
• No. The metric checks whether an observed destination appeared among ten research-model candidates. Article 10 does not publish those candidate lists and does not label them recommendations.
• Four gates failed, including external SIPP consistency. The protocol required every gate to pass. Changing the rule after observing results would weaken the validation.
• No. The wage-direction check compares national occupational median wages. It does not measure the worker’s actual earnings change.
• It may inform research hypotheses for a new version. Any change prompted by the test results must be evaluated on a fresh held-out cohort.
• Only after a new version passes all frozen analytical gates and completes editorial, data-rights, and owner approval. No date is promised.
• Suggested citation: MyTopMatch Research. (2026). “A Promising Career-Mobility Model Is Not Yet Ready to Recommend Job Changes.” MyTopMatch. https://mytopmatch.com/publications/career-mobility-model-validation-2026
• When reusing findings, identify the work as original analysis by MyTopMatch Research, identify the underlying public data publisher where relevant, and link to this canonical article. Source publishers do not endorse MyTopMatch's calculations or interpretations.

Career-change models are easy to overstate. A system can rank many observed destinations near the top and still be too dependent on occupational size, weakly calibrated, unstable across surveys, or misleading for individual decisions.

MyTopMatch designed Article 10 around that risk. Before inspecting the held-out test results, the research protocol froze the cohorts, model features, evaluation metrics, and release thresholds. The question was not simply whether the model performed better than chance. The question was whether it passed every condition required before MyTopMatch would publish transition rankings.

It did not.

The model’s weighted macro AUC was 0.925, with an independent 95% person-cluster bootstrap interval of 0.916 to 0.933. Its top-ten recall was 48.9%, with an interval of 45.4% to 52.6%. These are strong discrimination and retrieval results in a 349-candidate destination task.

The release rule required more. Four analytical gates passed and four failed. MyTopMatch is preserving the preregistered decision rather than changing a threshold after seeing the result.

For each observed occupation change, the model ranked every eligible detailed occupation other than the worker’s source occupation. The frozen universe contained 350 occupations, which created 349 possible destinations per event.

The model combined twelve transparent features:

The statistical form was a regularized pairwise logistic utility model. Training used 20 sampled negative destinations for each observed transition; final evaluation used the full set of 349 candidates. Feature scaling was learned from the training cohort only. Regularization and one score-to-probability temperature were selected using the validation cohort. The held-out test cohort was used once for final metrics and the gate decision.

Monthly CPS records were linked conservatively through public-use household and person identifiers, month-in-sample progression, and consistency checks for sex, race, and age progression. The primary population was civilian employed wage-and-salary workers ages 18–64 with usable occupation mappings and occupations inside the frozen coverage universe.

The cohorts were separated by person. A person assigned to an earlier cohort could not enter a later cohort.

The Census Bureau did not collect an October 2025 CPS during the federal funding lapse, so no October microdata file exists. The missing September-to-October and October-to-November links were not imputed. July 2026 was used only to observe destinations for June 2026 origin records. The Census Bureau’s CPS methodology describes the survey’s 4-8-4 rotation pattern, which creates the month-to-month overlap that makes conservative linkage possible (CPS methodology; CPS linking guidance; CPS data and footnotes).

ROC AUC and top-k recall answer different questions. AUC evaluates pairwise ranking across candidate destinations. Top-k recall asks whether the observed destination falls within a shortlist. Neither measure establishes that a destination is advisable, legally accessible, available locally, or feasible for a specific person.

The companion workbook records the unrounded values and the exact calculation for each gate.

An observed destination model can look impressive by learning where many people already work. Large occupations attract more moves simply because they offer more jobs and more hiring opportunities.

The employment-size baseline reached a weighted macro AUC of 0.887 and top-ten recall of 39.4%. The full model improved AUC by 0.038, short of the 0.050 requirement. Its 48.9% top-ten recall was 24.2% higher than the stronger CPS baseline, just below the required 25% relative improvement.

A content-only baseline, built from occupational similarity without the full set of labor-market features, reached AUC 0.772 and top-ten recall 28.2%. The comparison indicates that occupational content contributes predictive structure. The stronger employment-size result also shows that market prevalence remains a major part of observed mobility.

Expected calibration error was 0.05146, approximately 0.00146 above the frozen ceiling. The miss was narrow. The rule applies at full precision.

Calibration is especially important when scores are converted into probabilities. A model can order destinations well while assigning confidence levels that do not align with observed frequencies. MyTopMatch will not publish individual transition probabilities from this model. Even a well-calibrated population model would not, by itself, produce a personal probability of success.

The calibration bins are included in the companion workbook. The highest-confidence bin contained only 13 events, so it should not carry broad interpretation.

For transitions with an absolute destination-versus-source OEWS median-wage difference of at least 5%, the model’s highest-ranked destination pointed in the same up-or-down wage direction as the observed move 61.5% of the time. The independent 95% person-cluster interval ranged from 57.6% to 65.3%, excluding 50%.

This gate passed. The content-only baseline reached 63.5%, higher than the full model’s 61.5%, while the employment-size baseline reached 58.8%. The wage-direction test therefore supports directional signal above chance and does not establish superiority over every baseline.

The measure uses occupational median wages from May 2025 OEWS. It does not use a worker’s actual earnings, benefits, hours, bargaining position, or local offer. It cannot estimate the causal pay effect of changing careers (BLS OEWS tables).

Occupation codes can change because of reporting or coding noise. The stable-transition sensitivity restricted the test to 541 changes for which the source occupation repeated in the preceding linked month or the destination repeated in the following linked month. Weighted macro AUC remained 0.923 and top-ten recall remained 48.8%, satisfying the frozen sensitivity gate.

Among reportable demographic and credential groups with at least 100 transitions, the maximum within-dimension AUC gap was 0.020. This is below the 0.10 gate. Samples below 100 transitions were suppressed.

That diagnostic is a screening result. It does not prove equal performance for all workers, fairness at the individual level, or adequate measurement for suppressed groups. The model is not approved for individual use.

The 2025 Survey of Income and Program Participation provides monthly job states for calendar-year 2024. MyTopMatch constructed a separate 99-transition sensitivity sample spanning 83 people and 46 origin occupations. It was not pooled with CPS, and no person-level cross-survey linkage was attempted.

The full model reached AUC 0.907 and top-ten recall 48.5% in this small sample. The employment-size baseline reached top-ten recall 49.8%. Because the model did not meet or exceed the stronger baseline, the external directional gate failed.

The SIPP result has substantial uncertainty. The Census Bureau notes data-collection complications and a lower-than-average national unit response rate for the 2025 SIPP. Those limits are reasons for caution, not reasons to waive the preregistered gate (2025 SIPP data and release notes).

Career Mobility, Career Switchability, and the mobility-dependent portion of Career Resilience rely on credible destination ranks or transition evidence. Publishing occupation lists after a gate failure would make the research rule optional.

Article 10 therefore releases the validation record and the stop decision. It does not release:

The study supports a cautious conclusion: occupational content and labor-market structure can help describe where workers moved in the observed population. The evidence is insufficient to tell an individual where they should move.

A real career decision can depend on location, licensing, scheduling, health, caregiving, discrimination, professional networks, savings, employer demand, and the quality of a specific job offer. Version 1.0 includes no geographic feature and does not observe every practical barrier.

Workers may use the eventual research as one input after the model passes a fresh validation. They should continue to confirm local requirements, compensation, working conditions, and personal constraints directly.

The 2026 test cohort is now spent. It cannot be used to choose new features, thresholds, regularization, or calibration and still serve as an untouched test.

Before a second model is fitted, MyTopMatch should freeze a version 2 protocol that:

Civilian employed wage-and-salary workers ages 18–64 observed in consecutive CPS months, with Grade A/B occupation mapping and source and destination occupations inside the frozen 350-occupation universe.

An observed occupation change occurs when the mapped source and destination National Employment Matrix occupations differ. Same-occupation links remain in descriptive quality assurance and are excluded from destination-choice events.

Symmetric pairwise L2-logistic utility model with twelve prespecified features; 20 sampled negative destinations per training event; training-only scaling; validation-only selection of regularization (C=10) and temperature (1.051196); full 349-candidate softmax evaluation in the test cohort.

Headline metrics use CPS weights. Independent uncertainty intervals use 2,000 person-cluster bootstrap draws. The original fitting program used 1,000 person-cluster draws; the independent intervals are reported because they reproduce the same conclusions with more resamples.

The frozen pipeline’s independent program recorded 22 of 22 successful quality checks, including cohort isolation, count reproduction, metric reconstruction, calibration, interval checks, and the release decision. For Article 10 production, MyTopMatch also reconstructed all eight analytical gates from immutable aggregate outputs using the exact protocol thresholds. The result matched the frozen gate file — four passes, four failures, and a withholding decision.

The current production session verified all 29 files against the release-package manifest. Protected row-level events, person hashes, and transition matrices were not included in the publication package and were not rerun during article production.

No. AUC is a ranking measure, not a percent-correct rate. It reflects how often the observed destination receives a higher score than a nonchosen candidate within the evaluation design.

No. The metric checks whether an observed destination appeared among ten research-model candidates. Article 10 does not publish those candidate lists and does not label them recommendations.

Four gates failed, including external SIPP consistency. The protocol required every gate to pass. Changing the rule after observing results would weaken the validation.

No. The wage-direction check compares national occupational median wages. It does not measure the worker’s actual earnings change.

It may inform research hypotheses for a new version. Any change prompted by the test results must be evaluated on a fresh held-out cohort.

Only after a new version passes all frozen analytical gates and completes editorial, data-rights, and owner approval. No date is promised.

Suggested citation: MyTopMatch Research. (2026). “A Promising Career-Mobility Model Is Not Yet Ready to Recommend Job Changes.” MyTopMatch. https://mytopmatch.com/publications/career-mobility-model-validation-2026

When reusing findings, identify the work as original analysis by MyTopMatch Research, identify the underlying public data publisher where relevant, and link to this canonical article. Source publishers do not endorse MyTopMatch's calculations or interpretations.

MyTopMatch American Career Mobility Study MOB-1.0; finding MTM-MOB-V02. The held-out test contained 1,021 linked CPS occupation changes. Training, validation, and test cohorts were person-disjoint; the 2026 test cohort was used once for final metrics and the release decision. Four of eight frozen analytical gates failed, so mobility, switchability, and mobility-dependent resilience rankings remain withheld. O*NET 31.0 information is used under CC BY 4.0; MyTopMatch modified and combined it, and USDOL/ETA has not approved, endorsed, or tested those modifications.

skills cosine similarity;

knowledge cosine similarity;

abilities cosine similarity;

work-activities cosine similarity;

positive education gap;

positive experience gap;

positive on-the-job-training gap;

positive Job Zone gap;

target opportunity score;

log target employment;

same major occupational family; and

log occupational median-wage difference.

“best career change” lists;

origin-to-destination recommendations;

occupational mobility, switchability, or resilience rankings derived from model probabilities;

individual probabilities of completing a transition;

claims that observed transitions caused higher pay; or

claims that similarity alone establishes access.

defines a fresh, person-disjoint future test cohort;

expands the number of observed transitions and origin occupations;

tests rolling or period-specific stability;

improves probability calibration using validation data only;

examines prevalence-aware learning and baseline resistance;

prespecifies any geographic feature and missing-data rule;

repeats subgroup, stable-transition, and external-survey checks; and

retains the rule that every analytical gate must pass.

Observed moves describe realized transitions, which reflect hiring volume, preferences, constraints, geography, economic conditions, reporting, and coding.

The model has no geographic feature and cannot represent local vacancies, licensing rules, or commuting constraints.

CPS adjacent-month linkage is conservative and still subject to linkage and occupation-coding error.

October 2025 CPS data were unavailable because collection did not occur; missing links were not imputed.

SIPP contributed only 99 eligible transitions and carried documented response-rate concerns.

Reportable subgroup comparisons are descriptive diagnostics; smaller groups were suppressed.

Occupational wage direction uses national median wages and does not represent individual earnings changes.

Model coefficients are conditional on correlated standardized features and should not be read as causal effects or standalone importance rankings.

The held-out 2026 test cohort cannot be reused for version 2 tuning.

A passing future model would still support population-level evidence and would not automatically validate individualized probabilities.

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

• +15.34 points: Bachelor's-or-higher attainment increased from 40.3% in 2018 to 55.6% in 2024.
• 90% CI: +8.4 to +22.2: The interval for the endpoint change remained above the prespecified five-point practical threshold.
• BH q=0.00334: The change survived multiple-comparison control across eligible occupations.
• +10.55-point sensitivity: The 2019–2024 comparison also passed the FDR standard, with q=0.0343.

Data vintage: 2018–2024 / 2020 gap preserved

Variables: year; occupation; educational attainment; person weights; replicate weights

The education profile of human resources assistants changed substantially between 2018 and 2024. A MyTopMatch Research analysis of U.S. Census Bureau microdata estimated that 40.3% of human resources assistants held at least a bachelor's degree in 2018. The share reached 55.6% in 2024—an increase of 15.34 percentage points.

The result passed the study's sample-quality rules, replicate-weight uncertainty calculation, five-point practical-significance threshold, and multiple-comparison correction. The 90% confidence interval for the endpoint change ranged from 8.4 to 22.2 percentage points. The two-sided p-value was 0.000257, and the Benjamini-Hochberg q-value was 0.00334.

This is a finding about incumbent workers. It does not reveal whether employers raised degree screens, whether workers earned degrees before or after entering the occupation, or whether a bachelor's degree is required for a particular vacancy.

The estimated share was 40.3% in 2018, 45.1% in 2019, 47.6% in 2021, 47.9% in 2022, 46.7% in 2023, and 55.6% in 2024. These are six independent annual cross-sections. They do not follow the same workers through time.

The Census Bureau did not release standard 2020 ACS one-year estimates because pandemic-related data-collection problems prevented the usual statistical-quality standard from being met. MyTopMatch excluded the experimental product, preserved 2020 as missing, and performed no interpolation.

Because an endpoint result can be unusually sensitive to the first year selected, MyTopMatch repeated the test using 2019 as the starting point. The bachelor's-or-higher share rose from 45.1% in 2019 to 55.6% in 2024. The 10.55-point increase also passed the practical threshold and produced a Benjamini-Hochberg q-value of 0.0343.

The sensitivity test supports the direction and practical importance of the main finding while showing that the exact magnitude depends partly on the starting year. The approved headline remains tied to the prespecified 2018-to-2024 comparison.

MyTopMatch collapsed ACS attainment into seven ordered categories. The weighted median category for human resources assistants was an associate degree in 2018 and a bachelor's degree in 2024. This is a separate derived description of the same changing distribution.

BLS lists an associate degree as the typical education needed for entry. It reports 96,500 jobs in 2025, a $50,610 median annual wage, 7,900 projected annual openings over 2025–35, and a projected employment decline of 6.2%. Those values describe an occupation-level entry category and outlook; they do not convert the observed ACS education distribution into an employer requirement.

The 2018 Standard Occupational Classification defines human resources assistants, except payroll and timekeeping, as workers who compile and maintain personnel records, record employee information, prepare employment-record reports, and retrieve authorized information. The analysis does not combine them with human resources specialists, HR managers, payroll clerks, or timekeeping clerks.

The official BLS National Employment Matrix-to-ACS crosswalk maps SOC 43-4161 to ACS occupation code 5360 on a one-to-one basis. MyTopMatch classified that alignment as Grade A. The endpoint samples included 397 observations in 2018 and 964 in 2024.

The statistical test addresses the full difference between independent 2018 and 2024 estimates and incorporates uncertainty in both years. The difference standard error was 4.20 percentage points, and the lower bound of the 90% interval remained above the five-point practical threshold.

MyTopMatch tested 300 occupations that passed both endpoint quality gates in the bachelor's-attainment outcome family. Twenty-one recorded increases of at least five percentage points and passed the false-discovery-rate standard. Human resources assistants were one of those 21.

Several mechanisms remain plausible: employers may have hired a larger share of degree holders; workers with different educational backgrounds may have exited at different rates; incumbents may have completed degrees after entry; or the occupation's industry, geography, or coding mix may have changed. The ACS analysis does not isolate these mechanisms.

A claim of employer-driven credential inflation would require consistent job-posting histories, employer policy records, applicant-tracking data, or another design that observes changing screening rules. This study reports a workforce-composition change.

People considering HR assistant work should expect to encounter a workforce with more bachelor's-degree holders than the occupation had in 2018. That may influence competition and career positioning, but it does not establish a universal degree screen.

Employers can use the national trend as a workforce-audit prompt. The decisive evidence must come from their own records: job descriptions, screening rules, incumbent preparation, work samples, performance, retention, and advancement.

The preregistered universe includes employed civilian wage-and-salary workers ages 25 to 64 with valid occupation and education data. Bachelor's attainment includes respondents whose highest reported education was a bachelor's, master's, professional, or doctoral degree.

Point estimates use the ACS person weight. Standard errors use all 80 person replicate weights and the Census successive-difference-replication factor of 4/80. Ninety-percent margins of error use a 1.645 multiplier. The endpoint-change standard error combines the independent-year standard errors using the square root of the sum of squares.

Eligibility required a Grade A or Grade B occupation mapping, at least 200 unweighted records at both endpoints, and a relative standard error no greater than 15% for the weighted worker count. Benjamini-Hochberg correction was applied within the prespecified outcome family, and a finding also needed an absolute change of at least five percentage points.

Methodology DGT-1.0; finding MTM-DGT-001. Independent ACS one-year cross-sections use person and replicate weights. Endpoint tests combine independent-year standard errors. Benjamini-Hochberg correction is applied within the prespecified outcome family, and publication requires an absolute change of at least five percentage points.

Review current postings in the target location and industry.

Separate degree requirements from degree preferences and identify experience substitutions.

Document HR information-system, records, compliance, reporting, onboarding, scheduling, and communication experience.

Compare assistant roles with coordinator, specialist, analyst, payroll, and recruiting roles whose preparation expectations may differ.

Verify whether certifications or regulated duties apply to the specific employer and jurisdiction.

Has the bachelor's share among the organization's HR assistants changed?

Did job descriptions or screening rules change during the same period?

Which combinations of education, experience, software, compliance, and work-sample evidence predict performance?

Are assistant roles being used as pipelines into specialist positions?

Are internal candidates screened consistently with external candidates?

Employer degree screens, job descriptions, or hiring policies.

The education workers held when they entered the occupation.

An individual applicant's hiring probability or job performance.

Worker-level transitions or a causal mechanism.

A continuous 2020 observation; no value was imputed.

Employer-specific job content or legal requirements.

• 2024 ACS PUMS Documentation: https://www.census.gov/programs-surveys/acs/microdata/documentation/2024.html (source reviewed 2026-09-07)
• 2024 ACS PUMS User Guide: https://www2.census.gov/programs-surveys/acs/tech_docs/pums/2024ACS_PUMS_User_Guide.pdf (source reviewed 2026-09-07)
• 2018 ACS PUMS Documentation and Code Lists: https://www.census.gov/programs-surveys/acs/microdata/documentation/2018.html (source reviewed 2026-09-07)
• 2020 ACS One-Year Experimental Data Notice: https://www.census.gov/programs-surveys/acs/data/experimental-data.html (source reviewed 2026-09-07)
• Census Guidance on Comparing ACS Data: https://www.census.gov/programs-surveys/acs/guidance/comparing-acs-data.html (source reviewed 2026-09-07)
• Census Industry and Occupation Code Lists: https://www.census.gov/topics/employment/industry-occupation/guidance/code-lists.html (source reviewed 2026-09-07)
• BLS 2018 SOC Definition for Human Resources Assistants: https://www.bls.gov/soc/2018/major_groups.htm (source reviewed 2026-09-07)
• BLS National Employment Matrix-to-ACS Occupation Crosswalk: https://www.bls.gov/emp/classifications-crosswalks/nem-occcode-acs-crosswalk.xlsx (source reviewed 2026-09-07)
• BLS Occupational Projections and Worker Characteristics, 2025–35: https://www.bls.gov/emp/tables/occupational-projections-and-characteristics.htm (source reviewed 2026-09-07)
• BLS Education and Training Assignments by Detailed Occupation, 2025: https://www.bls.gov/emp/tables/education-and-training-by-occupation.htm (source reviewed 2026-09-07)

VERIFIED: Publicly visible publication returned by the existing publication store allowlist. Reviewed 2026-09-30.

• Career rankings often arrive as a clean numbered list. The first occupation appears stronger than the second, the 25th appears stronger than the 26th, and every position looks equally precise.
• A MyTopMatch analysis shows why readers should be more cautious.
• We stress-tested the 2026 MyTopMatch Opportunity-to-Barrier analysis across 747 detailed occupations. The index combines six measures of opportunity with four measures of formal entry barriers. We then ran 2,000 reasonable weight variations, removed each component one at a time, and tested alternate ways to normalize and measure the inputs.
• The central result: the median occupation's 90% rank interval spanned 69 positions when component weights changed within the tested range.
• The result does not make career rankings useless. It changes how a responsible ranking should be presented. Stable leaders deserve attention. Broad tiers can support comparison. A one-position difference in the middle of a table may have little practical meaning.
• Source data — BLS Employment Projections 2025–35 supply employment, projected growth, annual openings, and typical entry requirements. May 2025 BLS OEWS supplies median wages, employment, and state reporting breadth. O*NET 31.0 supplies Job Zone. [1][2][3][4]
• Derived calculations: MyTopMatch transforms ten documented components to comparable 0–100 scores, creates separate Opportunity and Barrier pillars, calculates Opportunity Efficiency, and measures rank movement across alternate specifications.
• Statistical findings: Rank correlations, top-decile retention, and 5th-to-95th percentile rank intervals quantify sensitivity to reasonable modeling choices. These are specification tests rather than sampling confidence intervals.
• Interpretation: The full ordering can remain broadly similar while many occupations near a cutoff change categories. Responsible publication requires more than a single numbered list.
• Across the component-omission tests, the lowest Spearman correlation between an alternate ranking and the primary ranking was 0.892. In many settings, that would be described as strong agreement.
• Whole-table agreement answers one question: do occupations generally remain in a similar order? A top-decile threshold answers another: do the same occupations remain inside the group being promoted as the leaders?
• Those answers diverged. Removing the openings-rate component retained only 48 of the 75 primary top-decile occupations. Twenty-seven occupations left the group and were replaced. The top-decile retention rate was 64%, even though the whole-ranking Spearman correlation for that specification remained 0.954.
• Figure 1. Alternate specifications: top-decile retention and whole-ranking agreement.
• The weakest whole-ranking correlation came from removing the training-barrier component. Spearman correlation fell to 0.892, while top-decile retention remained 78.7%. Removing the education-barrier component retained 69.3% of the primary top decile. Substituting percentile normalization retained 92%.
• This distinction matters for any published list. A high overall correlation can coexist with meaningful turnover at the line where a publisher declares “top 10%,” “best,” or “recommended.” Threshold stability should be tested directly.
• For each occupation, MyTopMatch recorded its rank in every weight simulation. The published interval runs from the 5th percentile to the 95th percentile of those 2,000 ranks.
• Across all occupations:
• The middle of the ranking was especially sensitive. Occupations in the fifth and sixth primary-rank deciles had a median interval width of 94 positions. The first decile's median was 20, and the tenth decile's median was about 21.
• Part of the extreme-versus-middle difference is mechanical. Rank 1 cannot move upward, and rank 747 cannot move downward. The boundaries naturally narrow some intervals. The finding therefore supports caution about middle-rank precision; it does not prove that high- or low-ranked occupations possess an inherent stability trait.
• Figure 2. Median 90% rank-interval width by primary rank decile.
• Stockers and order fillers ranked first in the primary Opportunity-to-Barrier analysis. The occupation remained rank 1 at both the 5th and 95th percentile of the 2,000 weight simulations. Across the component-omission tests, it ranged from rank 1 to rank 4.
• The result is strong within the defined construct. Stockers combine large projected openings, substantial employment scale, wide geographic availability, and low measured formal entry barriers. Their pay component scores poorly. High openings can also reflect turnover or job-quality problems that the index does not measure.
• This is why MyTopMatch publishes the Opportunity and Barrier pillars separately. The number summarizes opportunity relative to formal barriers. It does not evaluate benefits, schedules, physical demands, injury risk, stability, worker preferences, individual fit, or the quality of a particular employer.
• The ranking supports a precise statement: stockers and order fillers are the most stable leader under the tested Opportunity-to-Barrier specifications. It does not support a broad claim that the occupation is America's best career.
• The stress tests reveal which design choices carry the most influence.
• Removing openings rate produced the weakest top-decile retention, at 64%. Openings rate differs from absolute openings. An occupation can have many openings because it is very large, while another can have fewer openings yet a high number relative to its employment base.
• The index includes both measures because they answer different questions. The sensitivity result shows that publishers should reveal both components rather than compressing them into an unexplained demand score.
• Removing the training-barrier component produced the lowest whole-ranking correlation, 0.892. BLS categories distinguish typical on-the-job training needed to attain competency, including short-, moderate-, and long-term training and apprenticeships. The result suggests that how a model represents workplace preparation can materially affect its overall ordering.
• Removing the education-barrier component retained 69.3% of the primary top decile. Education is a powerful structural divider across occupations, and BLS describes its category as the education level typically needed for entry. It does not describe every employer's requirement or the education held by every incumbent worker.
• Replacing the primary robust-CDF normalization with percentile ranks produced a whole-ranking correlation of 0.993 and retained 92% of the top decile. In this run, whether a component was included often mattered more than the choice between these two reasonable normalizations.
• The Opportunity pillar contains six components:
• The Barrier pillar contains four components:
• Each raw component is transformed to a 0–100 score with a robust z score and the normal cumulative distribution function. Components receive equal weights within their pillar. The primary score is:
• Opportunity Efficiency = 50 + 0.5 × (Opportunity Score − Barrier Score)
• The scale is bounded from 0 to 100. Higher values indicate stronger measured opportunity relative to the included formal barriers.
• For each of the 2,000 weight simulations, the six Opportunity weights and four Barrier weights were independently multiplied by values drawn uniformly from 0.75 to 1.25, then renormalized to sum to one within each pillar. The random seed was fixed at 20260906, making the published simulation exactly reproducible from the frozen component scores.
• The analysis establishes four findings within its defined scope:
• The analysis does not establish a universal best-career ordering. It also does not estimate sampling-error confidence intervals around every component, predict an individual's success, measure employer-specific hiring standards, or capture every dimension of job quality.
• Treat a ranking as a structured starting point.
• The same discipline applies to workforce dashboards and talent programs.
• An index is most useful when users can see why an occupation scores well and how much the conclusion changes under reasonable alternatives.
• The starting BLS projections file contains 831 detailed line-item occupations. The complete-case index includes 747 with all ten required component values. Missing values were not imputed for index eligibility.
• Opportunity and Barrier remain visible as separate pillars. Each component is normalized with the same robust-CDF process, and the components receive equal weights within their pillar. Occupational size enters through a logarithmic employment-scale component to reduce domination by the largest occupations.
• The analysis includes:
• For alternate deterministic specifications, the study reports Spearman correlation with the primary rank and the share of the 75 primary top-decile occupations that remain in the alternate top decile. For weight simulations, it reports each occupation's 5th, 50th, and 95th percentile rank and its probability of appearing in the top decile.
• The Article #8 audit independently recomputed the primary formula, all 747 deterministic alternate-rank comparisons, and the 2,000 weight simulations from the frozen component scores. The reproduced 5th, 50th, and 95th percentile ranks matched the stored analysis exactly. The maximum absolute difference in the primary score formula was below 3 × 10^-14, consistent with floating-point rounding.
• The analysis does not propagate every OEWS sampling error or BLS projection uncertainty through the final index. O*NET content has occupation-specific update cycles and maps detailed O*NET-SOC occupations to the BLS taxonomy. Geographic breadth depends on reportable OEWS state estimates and can reflect suppression as well as true market coverage.
• The index excludes benefits, schedules, hours, remote-work access, physical demands, injury risk, unionization, worker preferences, employer quality, and comprehensive licensing requirements. High openings can reflect growth, replacement, turnover, or difficult working conditions. BLS projections describe a modeled future, and OEWS estimates describe wage-and-salary jobs within the program's scope.
• The plus-or-minus-25% weight range is a transparent stress test. It is not a probability distribution of public preferences. A reader who assigns radically different importance to pay, education, or openings can produce a different ordering.
• No. Sixty-nine is the median width across 747 occupation-specific 5th-to-95th percentile rank intervals. Some intervals were narrower and others were wider.
• No. It summarizes rank variation across 2,000 documented weight choices. It does not estimate repeated-sample uncertainty in the source surveys.
• Composite rankings can organize multidimensional evidence when their components and uncertainty remain visible. Stable leaders, broad tiers, and component profiles can still be informative.
• No. Pay is one of six Opportunity components. Stockers and order fillers led through scale, openings, geographic breadth, and low measured formal barriers while scoring low on pay.
• No. It is an occupation-level comparison. A personal decision requires local opportunities, verified requirements, preferences, constraints, finances, and a realistic transition path.
• Suggested citation: MyTopMatch Research. (2026). “Career Rankings Can Shift by Dozens of Places When the Formula Changes.” MyTopMatch. https://mytopmatch.com/publications/career-ranking-sensitivity-analysis-2026
• When reusing findings, identify the work as original analysis by MyTopMatch Research, identify the underlying public data publisher where relevant, and link to this canonical article. Source publishers do not endorse MyTopMatch's calculations or interpretations.

Career rankings often arrive as a clean numbered list. The first occupation appears stronger than the second, the 25th appears stronger than the 26th, and every position looks equally precise.

A MyTopMatch analysis shows why readers should be more cautious.

We stress-tested the 2026 MyTopMatch Opportunity-to-Barrier analysis across 747 detailed occupations. The index combines six measures of opportunity with four measures of formal entry barriers. We then ran 2,000 reasonable weight variations, removed each component one at a time, and tested alternate ways to normalize and measure the inputs.

The central result: the median occupation's 90% rank interval spanned 69 positions when component weights changed within the tested range.

The result does not make career rankings useless. It changes how a responsible ranking should be presented. Stable leaders deserve attention. Broad tiers can support comparison. A one-position difference in the middle of a table may have little practical meaning.

Source data — BLS Employment Projections 2025–35 supply employment, projected growth, annual openings, and typical entry requirements. May 2025 BLS OEWS supplies median wages, employment, and state reporting breadth. O*NET 31.0 supplies Job Zone. [1][2][3][4]

Derived calculations: MyTopMatch transforms ten documented components to comparable 0–100 scores, creates separate Opportunity and Barrier pillars, calculates Opportunity Efficiency, and measures rank movement across alternate specifications.

Statistical findings: Rank correlations, top-decile retention, and 5th-to-95th percentile rank intervals quantify sensitivity to reasonable modeling choices. These are specification tests rather than sampling confidence intervals.

Interpretation: The full ordering can remain broadly similar while many occupations near a cutoff change categories. Responsible publication requires more than a single numbered list.

Across the component-omission tests, the lowest Spearman correlation between an alternate ranking and the primary ranking was 0.892. In many settings, that would be described as strong agreement.

Whole-table agreement answers one question: do occupations generally remain in a similar order? A top-decile threshold answers another: do the same occupations remain inside the group being promoted as the leaders?

Those answers diverged. Removing the openings-rate component retained only 48 of the 75 primary top-decile occupations. Twenty-seven occupations left the group and were replaced. The top-decile retention rate was 64%, even though the whole-ranking Spearman correlation for that specification remained 0.954.

Figure 1. Alternate specifications: top-decile retention and whole-ranking agreement.

The weakest whole-ranking correlation came from removing the training-barrier component. Spearman correlation fell to 0.892, while top-decile retention remained 78.7%. Removing the education-barrier component retained 69.3% of the primary top decile. Substituting percentile normalization retained 92%.

This distinction matters for any published list. A high overall correlation can coexist with meaningful turnover at the line where a publisher declares “top 10%,” “best,” or “recommended.” Threshold stability should be tested directly.

For each occupation, MyTopMatch recorded its rank in every weight simulation. The published interval runs from the 5th percentile to the 95th percentile of those 2,000 ranks.

Across all occupations:

The middle of the ranking was especially sensitive. Occupations in the fifth and sixth primary-rank deciles had a median interval width of 94 positions. The first decile's median was 20, and the tenth decile's median was about 21.

Part of the extreme-versus-middle difference is mechanical. Rank 1 cannot move upward, and rank 747 cannot move downward. The boundaries naturally narrow some intervals. The finding therefore supports caution about middle-rank precision; it does not prove that high- or low-ranked occupations possess an inherent stability trait.

Figure 2. Median 90% rank-interval width by primary rank decile.

Stockers and order fillers ranked first in the primary Opportunity-to-Barrier analysis. The occupation remained rank 1 at both the 5th and 95th percentile of the 2,000 weight simulations. Across the component-omission tests, it ranged from rank 1 to rank 4.

The result is strong within the defined construct. Stockers combine large projected openings, substantial employment scale, wide geographic availability, and low measured formal entry barriers. Their pay component scores poorly. High openings can also reflect turnover or job-quality problems that the index does not measure.

This is why MyTopMatch publishes the Opportunity and Barrier pillars separately. The number summarizes opportunity relative to formal barriers. It does not evaluate benefits, schedules, physical demands, injury risk, stability, worker preferences, individual fit, or the quality of a particular employer.

The ranking supports a precise statement: stockers and order fillers are the most stable leader under the tested Opportunity-to-Barrier specifications. It does not support a broad claim that the occupation is America's best career.

The stress tests reveal which design choices carry the most influence.

Removing openings rate produced the weakest top-decile retention, at 64%. Openings rate differs from absolute openings. An occupation can have many openings because it is very large, while another can have fewer openings yet a high number relative to its employment base.

The index includes both measures because they answer different questions. The sensitivity result shows that publishers should reveal both components rather than compressing them into an unexplained demand score.

Removing the training-barrier component produced the lowest whole-ranking correlation, 0.892. BLS categories distinguish typical on-the-job training needed to attain competency, including short-, moderate-, and long-term training and apprenticeships. The result suggests that how a model represents workplace preparation can materially affect its overall ordering.

Removing the education-barrier component retained 69.3% of the primary top decile. Education is a powerful structural divider across occupations, and BLS describes its category as the education level typically needed for entry. It does not describe every employer's requirement or the education held by every incumbent worker.

Replacing the primary robust-CDF normalization with percentile ranks produced a whole-ranking correlation of 0.993 and retained 92% of the top decile. In this run, whether a component was included often mattered more than the choice between these two reasonable normalizations.

The Opportunity pillar contains six components:

The Barrier pillar contains four components:

Each raw component is transformed to a 0–100 score with a robust z score and the normal cumulative distribution function. Components receive equal weights within their pillar. The primary score is:

Opportunity Efficiency = 50 + 0.5 × (Opportunity Score − Barrier Score)

The scale is bounded from 0 to 100. Higher values indicate stronger measured opportunity relative to the included formal barriers.

For each of the 2,000 weight simulations, the six Opportunity weights and four Barrier weights were independently multiplied by values drawn uniformly from 0.75 to 1.25, then renormalized to sum to one within each pillar. The random seed was fixed at 20260906, making the published simulation exactly reproducible from the frozen component scores.

The analysis establishes four findings within its defined scope:

The analysis does not establish a universal best-career ordering. It also does not estimate sampling-error confidence intervals around every component, predict an individual's success, measure employer-specific hiring standards, or capture every dimension of job quality.

Treat a ranking as a structured starting point.

The same discipline applies to workforce dashboards and talent programs.

An index is most useful when users can see why an occupation scores well and how much the conclusion changes under reasonable alternatives.

The starting BLS projections file contains 831 detailed line-item occupations. The complete-case index includes 747 with all ten required component values. Missing values were not imputed for index eligibility.

Opportunity and Barrier remain visible as separate pillars. Each component is normalized with the same robust-CDF process, and the components receive equal weights within their pillar. Occupational size enters through a logarithmic employment-scale component to reduce domination by the largest occupations.

The analysis includes:

For alternate deterministic specifications, the study reports Spearman correlation with the primary rank and the share of the 75 primary top-decile occupations that remain in the alternate top decile. For weight simulations, it reports each occupation's 5th, 50th, and 95th percentile rank and its probability of appearing in the top decile.

The Article #8 audit independently recomputed the primary formula, all 747 deterministic alternate-rank comparisons, and the 2,000 weight simulations from the frozen component scores. The reproduced 5th, 50th, and 95th percentile ranks matched the stored analysis exactly. The maximum absolute difference in the primary score formula was below 3 × 10^-14, consistent with floating-point rounding.

The analysis does not propagate every OEWS sampling error or BLS projection uncertainty through the final index. O*NET content has occupation-specific update cycles and maps detailed O*NET-SOC occupations to the BLS taxonomy. Geographic breadth depends on reportable OEWS state estimates and can reflect suppression as well as true market coverage.

The index excludes benefits, schedules, hours, remote-work access, physical demands, injury risk, unionization, worker preferences, employer quality, and comprehensive licensing requirements. High openings can reflect growth, replacement, turnover, or difficult working conditions. BLS projections describe a modeled future, and OEWS estimates describe wage-and-salary jobs within the program's scope.

The plus-or-minus-25% weight range is a transparent stress test. It is not a probability distribution of public preferences. A reader who assigns radically different importance to pay, education, or openings can produce a different ordering.

No. Sixty-nine is the median width across 747 occupation-specific 5th-to-95th percentile rank intervals. Some intervals were narrower and others were wider.

No. It summarizes rank variation across 2,000 documented weight choices. It does not estimate repeated-sample uncertainty in the source surveys.

Composite rankings can organize multidimensional evidence when their components and uncertainty remain visible. Stable leaders, broad tiers, and component profiles can still be informative.

No. Pay is one of six Opportunity components. Stockers and order fillers led through scale, openings, geographic breadth, and low measured formal barriers while scoring low on pay.

No. It is an occupation-level comparison. A personal decision requires local opportunities, verified requirements, preferences, constraints, finances, and a realistic transition path.

Suggested citation: MyTopMatch Research. (2026). “Career Rankings Can Shift by Dozens of Places When the Formula Changes.” MyTopMatch. https://mytopmatch.com/publications/career-ranking-sensitivity-analysis-2026

When reusing findings, identify the work as original analysis by MyTopMatch Research, identify the underlying public data publisher where relevant, and link to this canonical article. Source publishers do not endorse MyTopMatch's calculations or interpretations.

MyTopMatch Opportunity-to-Barrier Index OTB-1.0 / Ranking Sensitivity Note 1.0; finding MTM-OTB-002. The analysis combines BLS Employment Projections 2025–35, May 2025 OEWS, and O*NET 31.0. The 5th-to-95th-percentile intervals measure sensitivity to documented model specifications, not survey-sampling confidence intervals. This analysis includes information from the O*NET 31.0 Database by USDOL/ETA, used under CC BY 4.0. MyTopMatch modified and combined the information; USDOL/ETA has not approved, endorsed, or tested those modifications. O*NET is a trademark of USDOL/ETA.

the median interval width was 69 positions;

71.6% had an interval at least 50 positions wide; and

15.3% had an interval at least 100 positions wide.

median pay;

projected annual openings relative to employment;

absolute annual openings on a logarithmic scale;

projected employment growth;

occupational employment scale; and

geographic breadth across states with reportable employment.

BLS typical education needed for entry;

BLS related work experience typically required;

BLS on-the-job training typically needed for competency; and

O*NET Job Zone.

reasonable weight changes produce substantial rank uncertainty for many occupations;

whole-ranking correlation can conceal instability at a top-tier threshold;

component inclusion affects the ranking more than small differences between adjacent positions suggest; and

some leaders remain stable enough to support a specific, qualified headline.

Inspect the components. A high composite may come from openings and low formal barriers even when pay is modest.

Prefer tiers to tiny rank differences. Two occupations separated by one or two positions may reverse under equally defensible assumptions.

Choose personal weights deliberately. Pay, preparation time, geography, schedule, physical demands, and stability do not have the same value for every worker.

Check the occupation locally. National projections and wages do not guarantee an opening or salary in a particular labor market.

Verify hard requirements. Licensing, certifications, background rules, and employer requirements need occupation- and location-specific confirmation.

Use transition evidence for career changes. Occupational attractiveness does not show that a particular worker can enter the occupation from a specific starting point.

Show the ingredients behind any composite workforce score.

Test membership in priority tiers under alternate assumptions.

Separate projected occupational openings from current posted vacancies.

Keep BLS typical-entry requirements distinct from employer-specific requirements and incumbent education.

Use occupation-level research to frame questions for local employer data, program outcomes, and worker-transition evidence.

BLS Employment Projections 2025–35: Table 1.2 provides 2025 and 2035 employment, employment change, annual average occupational openings, 2025 median annual wages, and typical education, work-experience, and on-the-job-training requirements. BLS last modified the table on August 27, 2026. [1]

BLS OEWS May 2025: the current tables provide national and state occupational employment and wage estimates. BLS released the May 2025 estimates on May 15, 2026. The estimates use the 2018 SOC and a model-based method drawing on three years of survey data. [2][3]

O*NET 31.0: the current production database was released in August 2026 and provides Job Zone values used in the Barrier pillar. [4][5]

percentile normalization instead of the robust CDF;

removal of each component one at a time;

geographic entropy instead of state reporting coverage;

an Employment-Projections-only barrier specification; and

2,000 independent plus-or-minus-25% component-weight perturbations.

Rank intervals are specification-sensitivity intervals, not sampling confidence intervals.

Exact adjacent ranks are withheld when reasonable alternatives materially reorder occupations.

Stable tiers and component values receive priority over a single composite rank.

The index is never described as a universal best-career measure.

Openings are BLS projected annual openings, not current vacancies or job advertisements.

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

• +22.59% education association: Approximate pay association for one coded typical-entry education category higher.
• +21.50% experience association: Approximate pay association for one coded related-experience category higher.
• 85.5% weighted R²: In-sample fit for cross-occupation log median wages under the primary specification.
• 15.0% with Job Zone: The education estimate fell when the broader O*NET preparation measure was included.

Data vintage: May 2025 / O*NET 31.0

Variables: median wage; employment; typical education; related experience; on-the-job training; occupation family; Job Zone

Across 825 detailed U.S. occupations, one coded category higher in BLS typical-entry education was associated with 22.59% higher occupational median pay in MyTopMatch's primary employment-weighted model. A one-category increase in related work experience was associated with 21.50% higher pay, and one category higher in typical on-the-job training was associated with 4.51% higher pay.

The model included all three preparation measures together with broad occupation-family fixed effects and explained 85.5% of weighted cross-occupation variation in log median wages. These figures compare occupations. They do not estimate what an individual would earn after completing a degree or accumulating more experience.

BLS classifies typical education needed for entry in eight categories: no formal educational credential, high school diploma or equivalent, some college without a degree, postsecondary nondegree award, associate degree, bachelor's degree, master's degree, and doctoral or professional degree.

Related work experience has three categories: none, less than five years, and five years or more. Typical on-the-job training has six categories: none, short-term, moderate-term, long-term, apprenticeship, and internship or residency.

The measures are ordered occupational classifications. Their steps are unequal in time, cost, difficulty, and selectivity. Moving from high school to some college differs from moving from a bachelor's to a master's degree. Apprenticeship and internship or residency describe structured pathways rather than a shared duration.

The coefficients should therefore be read as conditional associations with a one-step change in the frozen coding scheme. They should not be multiplied by years or treated as universal credential premiums.

The education and related-experience estimates were close in magnitude and appeared in the same model with on-the-job training and occupation-family controls. Education may represent technical knowledge, professional pathways, screening, or selection. Experience may represent judgment, responsibility, scarcity, employer trust, or advancement structures.

The regression identifies conditional relationships after accounting for the included variables. It does not distinguish among the mechanisms that produced them.

The weighted R-squared indicates that the fitted model accounted for a large share of in-sample, employment-weighted variation in occupational log median wages. Larger occupations received more weight.

The measure is not an individual wage-prediction accuracy score. Hours, industry, geography, benefits, unionization, working conditions, responsibility, scarcity, and worker selection remain outside the primary specification.

Adding O*NET Job Zone reduced the estimated education-category association from 22.6% to 15.0%. Job Zone summarizes education, experience, and training and overlaps with the BLS inputs. The reduction shows that broader preparation measures share information, so the sensitivity estimate belongs beside the primary coefficient.

Both values define the public result. The 22.6% figure represents the primary frozen specification. The 15.0% figure shows how the estimate changes after adding an overlapping preparation measure.

The on-the-job-training estimate ranged from about 1.8% to 9.7% across tested specifications. The direction was positive in the primary model, while the magnitude was materially sensitive to model design. MyTopMatch treats it as secondary evidence.

An occupation's residual is the difference between observed and model-predicted log pay. Large positive or negative residuals can identify cases for deeper research. They do not establish that an occupation is overpaid, underpaid, unfairly paid, undervalued, or a good bargain.

Residuals can include measurement error and omitted factors such as hours, industry mix, location, working conditions, risk, unionization, benefits, responsibility, firm productivity, scarcity, and selection. MyTopMatch has withheld the occupation names and residual ranks.

The analysis supports a structured comparison of preparation and opportunity costs. Workers should compare the national entry classification with current programs, employers, and local requirements, then calculate tuition, fees, foregone earnings, completion probability, debt, and time to credential.

Preparation requirements and compensation should be reviewed together. Public occupational data can identify national patterns. Employer records and audited job-posting data are required to test actual screening, applicant flow, hiring decisions, performance, and promotion.

The unit is a detailed occupation aligned to the 2018 SOC occupational spine. The dependent variable is the natural logarithm of the May 2025 OEWS median annual wage. Each occupation is weighted by its May 2025 OEWS employment estimate.

RTP-1.0 models education, related experience, and on-the-job training together with broad occupation-family fixed effects. MyTopMatch converted log coefficients to approximate percentage associations using 100 × (exp(beta) − 1). Sensitivity tests added O*NET Job Zone and examined alternate preparation specifications.

Methodology RTP-1.0; finding MTM-RTP-001. Employment-weighted least squares models log May 2025 OEWS median wage using ordered BLS education, related-experience, and training categories with broad occupation-family fixed effects. HC3 standard errors and six alternative specifications test sensitivity. Coefficients are converted with 100 × (exp(beta) − 1).

Review occupation-specific wage distributions instead of applying the 22.6% category estimate to a personal salary.

Evaluate experience-based pathways, apprenticeships, paid employer training, and progression routes alongside degrees.

Compare schedules, benefits, geography, legal requirements, working conditions, and job stability.

Treat national occupational medians as reference points rather than promised offers.

Which degree or experience requirements are legally necessary?

Which requirements predict performance, safety, retention, or advancement?

Can a skills demonstration, apprenticeship, or structured training program replace a broad credential screen?

Do pay bands reflect the time and opportunity cost imposed by entry requirements?

Where do actual employer requirements differ from the BLS typical-entry classification?

An individual's return to completing a degree or training program.

A causal effect of education, experience, or training on pay.

The education or experience actually held by every worker in an occupation.

A specific employer's hiring requirements or screening decisions.

Complete legal access across states and occupations.

Total compensation, benefits, schedules, working conditions, or job quality.

A fair-pay ranking derived from model residuals.

Future occupational wages or individual employment outcomes.

• BLS Occupational Employment and Wage Statistics Tables: https://www.bls.gov/oes/tables.htm (source reviewed 2026-09-07)
• BLS OEWS Documentation: https://www.bls.gov/oes/oes_doc.htm (source reviewed 2026-09-07)
• BLS Education and Training Assignments by Detailed Occupation, 2025: https://www.bls.gov/emp/tables/education-and-training-by-occupation.htm (source reviewed 2026-09-07)
• BLS Occupational Projections and Worker Characteristics, 2025–35: https://www.bls.gov/emp/tables/occupational-projections-and-characteristics.htm (source reviewed 2026-09-07)
• O*NET 31.0 Database: https://www.onetcenter.org/database.html (source reviewed 2026-09-07)
• O*NET 31.0 Database Content License: https://www.onetcenter.org/license_db.html (source reviewed 2026-09-07) — O*NET 31.0 is used under CC BY 4.0. MyTopMatch modified and combined some information; USDOL/ETA has not approved, endorsed, or tested those modifications.

VERIFIED: Publicly visible publication returned by the existing publication store allowlist. Reviewed 2026-09-30.

• Where a career exists can matter almost as much as what it pays. An occupation concentrated in a few states may offer a strong market to workers who can relocate and a much narrower one to workers who cannot. An occupation spread across the country may reduce dependence on any single regional economy.
• MyTopMatch examined this question using the newest annual state Occupational Employment and Wage Statistics files listed by the U.S. Bureau of Labor Statistics as of September 8, 2026: the May 2025 release. [1] The study measured geographic diversification across the 50 states and the District of Columbia while preserving suppressed or unavailable state cells as missing.
• Four occupations formed the most robust tier in the analysis: Postal Service Mail Carriers; First-Line Supervisors of Retail Sales Workers; Registered Nurses; and Cashiers. They occupied the top four positions in the primary specification and remained in the top ten under every reliability, geography, and weighting test required for the robust-tier label.
• The result is narrower than a list of the “best careers anywhere.” OEWS measures existing wage-and-salary employment in nonfarm establishments. It does not count current job advertisements or estimate a person's likelihood of being hired. [4]
• Source data — May 2025 BLS OEWS national and state cross-industry employment estimates. [1][2][3] Derived calculations: MyTopMatch reliable-state counts, five-state shares, effective-state values, all-jobs distribution similarity, component percentiles, composite scores, ranks, and sensitivity summaries. Statistical findings: No population hypothesis test or causal model is used. Weight and threshold checks evaluate the stability of the derived ranking under alternative analytical choices. Interpretation: The four occupations have broad state-level employment footprints in this edition. That breadth may reduce dependence on a small number of states, but it does not prove that openings, wages, access, or job quality are favorable.
• Geographic diversification is not a single observable variable. MyTopMatch defined it using four complementary components:
• The components answer different questions. Effective states and the five-state share reward a flatter distribution. The all-jobs comparison asks whether an occupation follows the broad shape of the national labor market, recognizing that California, Texas, Florida, New York, and other large states naturally employ more people.
• Each component was percentile-ranked within the eligible occupation universe. The primary Geographic Diversification Score is the equal mean of the four percentile scores. Scores are relative to the 234 eligible occupations and should not be compared across future editions unless the universe and method remain fixed.
• The exact order is a model result rather than an official BLS ranking. It combines MyTopMatch-defined components and weights. The robust-tier finding therefore requires more than appearing in this one table.
• The four tier members met every rule below:
• Their alternate ranks were:
• Other occupations performed strongly in the primary table but moved outside the top ten under at least one required test or failed the 90% weight-inclusion rule. This does not make those careers geographically narrow. It means the evidence for placing them in the most robust tier was weaker under the frozen standard.
• Across all 234 occupations, the alternative rank correlations with the primary specification were 0.993 when DC was excluded and 0.980 when the PRSE ceiling was 25%. The stricter 15% analysis retained 185 overlapping occupations and had a rank correlation of 0.971. Each alternative retained eight of the primary top ten.
• Composite rankings can conceal tradeoffs. Among the 86 eligible occupations with reliable values in all 51 jurisdictions, Cooks, Institution and Cafeteria had the lowest five-state share, 29.3%, and the highest effective-state value, 29.9.
• That occupation ranked 36th on the composite because its state employment pattern was less similar to the overall all-jobs distribution, at 82.8%. This contrast is useful. An occupation can be distributed unusually evenly across states without closely tracking where employment overall is located.
• MyTopMatch therefore recommends using the component columns as well as the composite. A worker who values a flatter state distribution may prefer the direct concentration measures. A workforce planner who wants an occupation to follow the national employment footprint may emphasize the all-jobs similarity component.
• BLS explains that an occupation-area estimate may be withheld because it fails quality standards or because publication could compromise respondent confidentiality. When neither employment nor wage can be published, the occupation may not appear in the area data at all. [5]
• Article 11 never converts an absent or withheld state cell to zero employment. The primary cell rule requires a published total-employment estimate and a published employment PRSE no greater than 20%. The headline universe then requires:
• The last range is a diagnostic, not an accounting identity. State and national estimates are published at different aggregation levels and are rounded. The band screens out distributions dominated by missing or inconsistent coverage without pretending the estimates must add exactly.
• Of the 829 detailed or most-detailed occupation categories with at least one state/DC row, 234 passed all three headline gates. Eighty-six of those had reliable values in all 51 jurisdictions. Prosthodontists appeared in the national detailed file but had no state/DC row; Article 11 treats that as unavailable state evidence, not as zero employment.
• The robust tier can help a worker ask better location questions:
• Geographic diversification is best understood as one form of career optionality. It can reduce exposure to a single place while leaving other risks unchanged.
• For employers, a broad occupation footprint may support multi-state recruiting and benchmarking, but it does not guarantee an adequate local supply. The useful next checks are local concentration, compensation, commuting patterns, licensing, and actual applicant flow.
• For workforce organizations, the analysis can identify occupations whose training pathways may be relevant across many states. Before scaling a program, organizations should examine state and local requirements, placement outcomes, employer partnerships, and occupation-specific demand.
• For policymakers, the findings provide a descriptive map of where existing employment is distributed. They do not identify labor shortages, prove that workers can move freely between states, or estimate the effects of a training or licensing policy.
• Article 11 cannot establish:
• The results are point-in-time, state-level descriptive estimates. A future annual series can test whether the tier persists across releases, but Article 11 does not use the word “stable” to describe change over time.
• As of the September 8, 2026 analysis freeze, the BLS OEWS tables page listed May 2025 as the current annual release and provided national and state downloadable files. The page was last modified May 15, 2026. [1]
• Article 11 acquired:
• The files are preserved unchanged in the internal raw-data layer. Transformed analytical copies and scripts are versioned separately.
• BLS describes OEWS as an employer survey measuring occupational employment and wage rates for wage-and-salary workers in nonfarm establishments. The May 2025 estimates use six semiannual panels collected from November 2022 through May 2025. The survey excludes self-employed workers, owners and partners in unincorporated firms, household workers, unpaid family workers, and most agriculture. [4]
• Article 11 uses cross-industry state and national employment estimates only. It retains the 50 states and the District of Columbia and excludes Puerto Rico, Guam, and the U.S. Virgin Islands from the primary geography.
• The analysis selects rows that OEWS designates detailed. BLS notes in the downloadable field description that, for occupations no longer published at the SOC detailed level, this designation may represent the most detailed available broad occupation or an OEWS-specific combination. The supporting workbook preserves the published code and title and does not silently map these rows to another taxonomy.
• A primary state cell is usable when:
• published total employment is numeric AND published employment PRSE <= 20
• The state file defines total employment as estimated employment rounded to the nearest ten and excluding self-employed workers. It defines PRSE as model error expressed as a percentage of the estimate, with lower values typically indicating greater precision in the presence of model error. The 20% ceiling is a MyTopMatch quality rule, not a threshold endorsed by BLS.
• An occupation enters the headline universe when:
• national employment >= 100,000
• reliable state/DC count >= 45
• 0.80 <= reliable state employment sum / national employment <= 1.20
• No value is imputed. Occupations that fail a gate remain in the all-occupation analytical output with an explicit status but are excluded from headline ranking.
• For occupation o and reliable jurisdictions j, let s_oj be jurisdiction j's share of the occupation's reliable-state employment.
• five-state share = sum of the five largest s_oj values
• HHI = sum over j of s_oj squared
• effective states = 1 / HHI
• Let a_j be jurisdiction j's share of all-occupation employment across the same observed jurisdictions.
• all-jobs similarity = 1 - 0.5 x sum over j of |s_oj - a_j|
• Reliable-state coverage, effective states, inverse five-state share, and all-jobs similarity are percentile-ranked within the 234-occupation headline universe. Higher percentiles always indicate greater diversification.
• Geographic Diversification Score = mean of the four component percentiles
• An occupation qualifies for the robust tier only if it is top ten in:
• and it must appear in the top ten in at least 90% of 2,000 component-weight draws.
• For each draw, the four equal weights receive independent multipliers sampled from Uniform(0.5, 1.5), then are renormalized to sum to one. The random seed is 20260908. Results are sensitivity summaries conditional on this design.
• The tier could be misleading if suppressed cells were mistaken for absence, if state and national estimates were treated as exact accounting totals, if a single composite specification drove the result, if large-state population patterns were confused with even geographic distribution, or if existing employment were interpreted as vacancies.
• Article 11 addresses those risks by retaining missing cells, requiring broad reliable coverage, screening state-to-national coverage, publishing direct concentration metrics, adding all-jobs similarity, testing thresholds and geography, perturbing component weights, and using a non-claim boundary. Remaining risks are stated above rather than converted into false precision.
• FINDING ID: MTM-GEO-002 STUDY: Occupational Geographic Diversification RESEARCH QUESTION: Which large occupations have the most broadly and robustly distributed state-level wage-and-salary employment? DATA SOURCES: BLS OEWS May 2025 national and state downloadable files DATA RELEASE / VERSION: May 2025 OEWS; source page last modified May 15, 2026 DATE RANGE: May 2025 reference edition; six survey panels from November 2022 through May 2025 SAMPLE: 35,223 detailed or most-detailed occupation-state rows; 829 state-observed occupation categories; 234 headline-eligible occupations; 86 with reliable estimates in all 51 jurisdictions VARIABLES: State, occupation code/title, total employment, employment PRSE, national employment, all-occupation state employment CALCULATION: Coverage, top-five share, inverse HHI, all-jobs distribution similarity, percentile components, equal-weight composite, alternate specifications, weight draws STATISTICAL METHOD: Descriptive distribution analysis and deterministic sensitivity testing; no causal or inferential model RESULT: Postal Service Mail Carriers, First-Line Supervisors of Retail Sales Workers, Registered Nurses, and Cashiers formed the robust top-ten tier EFFECT SIZE: Five-state share 34.3%-35.3%; effective states 24.4-24.8; all-jobs similarity 93.0%-95.1% CONFIDENCE INTERVAL: Not calculated; PRSE is used as a cell-screening measure and is not converted into an index confidence interval ROBUSTNESS TESTS: PRSE ceilings of 15%, 20%, and 25%; DC exclusion; 2,000 component-weight draws; leave-one-component-out ranks ALTERNATIVE EXPLANATIONS: State population and total employment size; government and institutional structure; industry location; suppression; regional demand; establishment distribution KNOWN LIMITATIONS: OEWS universe and panel design; state aggregation; suppression; point-in-time data; analyst-defined index choices; no vacancy or individual-access evidence CONFIRMATORY OR EXPLORATORY: CONFIRMATORY under the frozen GEO-DIV-1.0 rules; direct-metric cook result is a predefined component finding MODEL INTERPRETATION: Geographic distribution of existing state-level employment, not hiring access or career quality VALIDATION STATUS: PASSED FOR DESCRIPTIVE PUBLICATION PUBLICATION STATUS: PUBLISHED — WEBSITE ONLY
• No. The study measures existing employment estimates. It does not observe current vacancies or recruiting activity.
• No. A state estimate can conceal substantial local concentration. Metro and nonmetro analysis is required for local claims.
• A purely even distribution can reward occupations that are disproportionately represented in smaller states. The similarity component asks whether an occupation follows the broad distribution of employment overall. It is published beside the flatter-distribution metrics because neither construct should silently replace the other.
• Many smaller or geographically concentrated occupations have too few reliable state cells for a defensible concentration comparison. The 234-occupation headline universe requires scale, coverage, and a state-to-national diagnostic.
• No. BLS publishes the source estimates. MyTopMatch defines the derived metrics, normalization, eligibility gates, score, and robust-tier rule.
• Third parties may describe the calculations and analysis as MyTopMatch original research while identifying BLS as the original data publisher and linking to the canonical MyTopMatch article.
• Suggested citation: MyTopMatch Research. (2026). “Four Occupations Had the Most Robust State Employment Footprints.” MyTopMatch. https://mytopmatch.com/publications/careers-broadest-state-employment-footprints
• When reusing findings, identify the work as original analysis by MyTopMatch Research, identify the underlying public data publisher where relevant, and link to this canonical article. Source publishers do not endorse MyTopMatch's calculations or interpretations.

Where a career exists can matter almost as much as what it pays. An occupation concentrated in a few states may offer a strong market to workers who can relocate and a much narrower one to workers who cannot. An occupation spread across the country may reduce dependence on any single regional economy.

MyTopMatch examined this question using the newest annual state Occupational Employment and Wage Statistics files listed by the U.S. Bureau of Labor Statistics as of September 8, 2026: the May 2025 release. [1] The study measured geographic diversification across the 50 states and the District of Columbia while preserving suppressed or unavailable state cells as missing.

Four occupations formed the most robust tier in the analysis: Postal Service Mail Carriers; First-Line Supervisors of Retail Sales Workers; Registered Nurses; and Cashiers. They occupied the top four positions in the primary specification and remained in the top ten under every reliability, geography, and weighting test required for the robust-tier label.

The result is narrower than a list of the “best careers anywhere.” OEWS measures existing wage-and-salary employment in nonfarm establishments. It does not count current job advertisements or estimate a person's likelihood of being hired. [4]

Source data — May 2025 BLS OEWS national and state cross-industry employment estimates. [1][2][3] Derived calculations: MyTopMatch reliable-state counts, five-state shares, effective-state values, all-jobs distribution similarity, component percentiles, composite scores, ranks, and sensitivity summaries. Statistical findings: No population hypothesis test or causal model is used. Weight and threshold checks evaluate the stability of the derived ranking under alternative analytical choices. Interpretation: The four occupations have broad state-level employment footprints in this edition. That breadth may reduce dependence on a small number of states, but it does not prove that openings, wages, access, or job quality are favorable.

Geographic diversification is not a single observable variable. MyTopMatch defined it using four complementary components:

The components answer different questions. Effective states and the five-state share reward a flatter distribution. The all-jobs comparison asks whether an occupation follows the broad shape of the national labor market, recognizing that California, Texas, Florida, New York, and other large states naturally employ more people.

Each component was percentile-ranked within the eligible occupation universe. The primary Geographic Diversification Score is the equal mean of the four percentile scores. Scores are relative to the 234 eligible occupations and should not be compared across future editions unless the universe and method remain fixed.

The exact order is a model result rather than an official BLS ranking. It combines MyTopMatch-defined components and weights. The robust-tier finding therefore requires more than appearing in this one table.

The four tier members met every rule below:

Their alternate ranks were:

Other occupations performed strongly in the primary table but moved outside the top ten under at least one required test or failed the 90% weight-inclusion rule. This does not make those careers geographically narrow. It means the evidence for placing them in the most robust tier was weaker under the frozen standard.

Across all 234 occupations, the alternative rank correlations with the primary specification were 0.993 when DC was excluded and 0.980 when the PRSE ceiling was 25%. The stricter 15% analysis retained 185 overlapping occupations and had a rank correlation of 0.971. Each alternative retained eight of the primary top ten.

Composite rankings can conceal tradeoffs. Among the 86 eligible occupations with reliable values in all 51 jurisdictions, Cooks, Institution and Cafeteria had the lowest five-state share, 29.3%, and the highest effective-state value, 29.9.

That occupation ranked 36th on the composite because its state employment pattern was less similar to the overall all-jobs distribution, at 82.8%. This contrast is useful. An occupation can be distributed unusually evenly across states without closely tracking where employment overall is located.

MyTopMatch therefore recommends using the component columns as well as the composite. A worker who values a flatter state distribution may prefer the direct concentration measures. A workforce planner who wants an occupation to follow the national employment footprint may emphasize the all-jobs similarity component.

BLS explains that an occupation-area estimate may be withheld because it fails quality standards or because publication could compromise respondent confidentiality. When neither employment nor wage can be published, the occupation may not appear in the area data at all. [5]

Article 11 never converts an absent or withheld state cell to zero employment. The primary cell rule requires a published total-employment estimate and a published employment PRSE no greater than 20%. The headline universe then requires:

The last range is a diagnostic, not an accounting identity. State and national estimates are published at different aggregation levels and are rounded. The band screens out distributions dominated by missing or inconsistent coverage without pretending the estimates must add exactly.

Of the 829 detailed or most-detailed occupation categories with at least one state/DC row, 234 passed all three headline gates. Eighty-six of those had reliable values in all 51 jurisdictions. Prosthodontists appeared in the national detailed file but had no state/DC row; Article 11 treats that as unavailable state evidence, not as zero employment.

The robust tier can help a worker ask better location questions:

Geographic diversification is best understood as one form of career optionality. It can reduce exposure to a single place while leaving other risks unchanged.

For employers, a broad occupation footprint may support multi-state recruiting and benchmarking, but it does not guarantee an adequate local supply. The useful next checks are local concentration, compensation, commuting patterns, licensing, and actual applicant flow.

For workforce organizations, the analysis can identify occupations whose training pathways may be relevant across many states. Before scaling a program, organizations should examine state and local requirements, placement outcomes, employer partnerships, and occupation-specific demand.

For policymakers, the findings provide a descriptive map of where existing employment is distributed. They do not identify labor shortages, prove that workers can move freely between states, or estimate the effects of a training or licensing policy.

Article 11 cannot establish:

The results are point-in-time, state-level descriptive estimates. A future annual series can test whether the tier persists across releases, but Article 11 does not use the word “stable” to describe change over time.

As of the September 8, 2026 analysis freeze, the BLS OEWS tables page listed May 2025 as the current annual release and provided national and state downloadable files. The page was last modified May 15, 2026. [1]

Article 11 acquired:

The files are preserved unchanged in the internal raw-data layer. Transformed analytical copies and scripts are versioned separately.

BLS describes OEWS as an employer survey measuring occupational employment and wage rates for wage-and-salary workers in nonfarm establishments. The May 2025 estimates use six semiannual panels collected from November 2022 through May 2025. The survey excludes self-employed workers, owners and partners in unincorporated firms, household workers, unpaid family workers, and most agriculture. [4]

Article 11 uses cross-industry state and national employment estimates only. It retains the 50 states and the District of Columbia and excludes Puerto Rico, Guam, and the U.S. Virgin Islands from the primary geography.

The analysis selects rows that OEWS designates detailed. BLS notes in the downloadable field description that, for occupations no longer published at the SOC detailed level, this designation may represent the most detailed available broad occupation or an OEWS-specific combination. The supporting workbook preserves the published code and title and does not silently map these rows to another taxonomy.

A primary state cell is usable when:

published total employment is numeric AND published employment PRSE <= 20

The state file defines total employment as estimated employment rounded to the nearest ten and excluding self-employed workers. It defines PRSE as model error expressed as a percentage of the estimate, with lower values typically indicating greater precision in the presence of model error. The 20% ceiling is a MyTopMatch quality rule, not a threshold endorsed by BLS.

An occupation enters the headline universe when:

national employment >= 100,000

reliable state/DC count >= 45

0.80 <= reliable state employment sum / national employment <= 1.20

No value is imputed. Occupations that fail a gate remain in the all-occupation analytical output with an explicit status but are excluded from headline ranking.

For occupation o and reliable jurisdictions j, let s_oj be jurisdiction j's share of the occupation's reliable-state employment.

five-state share = sum of the five largest s_oj values

HHI = sum over j of s_oj squared

effective states = 1 / HHI

Let a_j be jurisdiction j's share of all-occupation employment across the same observed jurisdictions.

all-jobs similarity = 1 - 0.5 x sum over j of |s_oj - a_j|

Reliable-state coverage, effective states, inverse five-state share, and all-jobs similarity are percentile-ranked within the 234-occupation headline universe. Higher percentiles always indicate greater diversification.

Geographic Diversification Score = mean of the four component percentiles

An occupation qualifies for the robust tier only if it is top ten in:

and it must appear in the top ten in at least 90% of 2,000 component-weight draws.

For each draw, the four equal weights receive independent multipliers sampled from Uniform(0.5, 1.5), then are renormalized to sum to one. The random seed is 20260908. Results are sensitivity summaries conditional on this design.

The tier could be misleading if suppressed cells were mistaken for absence, if state and national estimates were treated as exact accounting totals, if a single composite specification drove the result, if large-state population patterns were confused with even geographic distribution, or if existing employment were interpreted as vacancies.

Article 11 addresses those risks by retaining missing cells, requiring broad reliable coverage, screening state-to-national coverage, publishing direct concentration metrics, adding all-jobs similarity, testing thresholds and geography, perturbing component weights, and using a non-claim boundary. Remaining risks are stated above rather than converted into false precision.

FINDING ID: MTM-GEO-002 STUDY: Occupational Geographic Diversification RESEARCH QUESTION: Which large occupations have the most broadly and robustly distributed state-level wage-and-salary employment? DATA SOURCES: BLS OEWS May 2025 national and state downloadable files DATA RELEASE / VERSION: May 2025 OEWS; source page last modified May 15, 2026 DATE RANGE: May 2025 reference edition; six survey panels from November 2022 through May 2025 SAMPLE: 35,223 detailed or most-detailed occupation-state rows; 829 state-observed occupation categories; 234 headline-eligible occupations; 86 with reliable estimates in all 51 jurisdictions VARIABLES: State, occupation code/title, total employment, employment PRSE, national employment, all-occupation state employment CALCULATION: Coverage, top-five share, inverse HHI, all-jobs distribution similarity, percentile components, equal-weight composite, alternate specifications, weight draws STATISTICAL METHOD: Descriptive distribution analysis and deterministic sensitivity testing; no causal or inferential model RESULT: Postal Service Mail Carriers, First-Line Supervisors of Retail Sales Workers, Registered Nurses, and Cashiers formed the robust top-ten tier EFFECT SIZE: Five-state share 34.3%-35.3%; effective states 24.4-24.8; all-jobs similarity 93.0%-95.1% CONFIDENCE INTERVAL: Not calculated; PRSE is used as a cell-screening measure and is not converted into an index confidence interval ROBUSTNESS TESTS: PRSE ceilings of 15%, 20%, and 25%; DC exclusion; 2,000 component-weight draws; leave-one-component-out ranks ALTERNATIVE EXPLANATIONS: State population and total employment size; government and institutional structure; industry location; suppression; regional demand; establishment distribution KNOWN LIMITATIONS: OEWS universe and panel design; state aggregation; suppression; point-in-time data; analyst-defined index choices; no vacancy or individual-access evidence CONFIRMATORY OR EXPLORATORY: CONFIRMATORY under the frozen GEO-DIV-1.0 rules; direct-metric cook result is a predefined component finding MODEL INTERPRETATION: Geographic distribution of existing state-level employment, not hiring access or career quality VALIDATION STATUS: PASSED FOR DESCRIPTIVE PUBLICATION PUBLICATION STATUS: PUBLISHED — WEBSITE ONLY

No. The study measures existing employment estimates. It does not observe current vacancies or recruiting activity.

No. A state estimate can conceal substantial local concentration. Metro and nonmetro analysis is required for local claims.

A purely even distribution can reward occupations that are disproportionately represented in smaller states. The similarity component asks whether an occupation follows the broad distribution of employment overall. It is published beside the flatter-distribution metrics because neither construct should silently replace the other.

Many smaller or geographically concentrated occupations have too few reliable state cells for a defensible concentration comparison. The 234-occupation headline universe requires scale, coverage, and a state-to-national diagnostic.

No. BLS publishes the source estimates. MyTopMatch defines the derived metrics, normalization, eligibility gates, score, and robust-tier rule.

Third parties may describe the calculations and analysis as MyTopMatch original research while identifying BLS as the original data publisher and linking to the canonical MyTopMatch article.

Suggested citation: MyTopMatch Research. (2026). “Four Occupations Had the Most Robust State Employment Footprints.” MyTopMatch. https://mytopmatch.com/publications/careers-broadest-state-employment-footprints

When reusing findings, identify the work as original analysis by MyTopMatch Research, identify the underlying public data publisher where relevant, and link to this canonical article. Source publishers do not endorse MyTopMatch's calculations or interpretations.

MyTopMatch Occupational Geographic Diversification GEO-DIV-1.0; finding MTM-GEO-002. The analysis uses May 2025 BLS OEWS national and state cross-industry employment estimates for the 50 states and District of Columbia. Suppressed or unavailable cells remain missing, not zero. The robust tier requires top-ten placement under all frozen reliability and geography specifications and at least 90% top-ten inclusion across 2,000 weight draws. The findings describe existing wage-and-salary employment distribution, not vacancies or individual hiring probability.

Reliable-state coverage. The share of the 50 states and District of Columbia with a published employment estimate and employment PRSE no greater than 20%.

Effective states. The inverse Herfindahl-Hirschman Index of reliable state employment shares. If employment were divided equally across k states, the measure would equal k. It is an index-equivalent, not a literal count of places with jobs.

Inverse five-state share. The share of reliable-state employment found in the five largest state counts, scored so that a lower concentration receives a higher diversification score.

Similarity to the all-jobs state distribution. One minus the total-variation distance between an occupation's reliable-state employment distribution and the all-occupation employment distribution across the same observed states.

top ten in the primary equal-weight specification;

top ten when the employment PRSE ceiling was tightened from 20% to 15%;

top ten when the ceiling was relaxed to 25%;

top ten when the District of Columbia was removed; and

top-ten inclusion in at least 90% of 2,000 reasonable weight draws.

national employment of at least 100,000;

at least 45 reliable state/DC cells; and

a sum of reliable state employment between 80% and 120% of the independently published national employment estimate.

How dependent is this occupation on a few states? A broad footprint can provide more state-level options if a worker needs or wants to move.

Where inside the state are the jobs? State breadth can coexist with strong metro, rural, hospital, school, government, or employer concentration.

What does the local market pay? Article 11 does not combine diversification with wages or living costs. Those questions belong to the separate Geographic Opportunity study.

Are there current openings? Existing employment is not a vacancy count. Current employer demand requires separate, timely evidence.

Can the worker legally and practically enter? Licensing, certification, education, experience, working conditions, and employer requirements remain separate.

current vacancies or advertised job counts;

the probability that an applicant will be hired;

employment in every city, county, or rural area within a state;

wage attractiveness, purchasing power, benefits, schedules, or working conditions;

historical resilience or future stability;

individual relocation outcomes;

legal access, licensing portability, or employer-specific requirements; or

causal effects of geographic diversification on wages, unemployment, or career success.

oesm25st.zip, SHA-256 74d5be0e1df865517d22dc3bd1fc3a8af5f6f9e3052a2163143021505d8e04c6; and

oesm25nat.zip, SHA-256 b5855a37f3e03e779f6fbf173d3bbc94aeeff33426aef32fa95ce6d025bab1af.

the primary PRSE <=20%, 50-state-plus-DC specification;

the PRSE <=15% specification;

the PRSE <=25% specification; and

the 50-state specification excluding DC;

Preserved and hashed both official source ZIP files.

Confirmed 51 retained state/DC jurisdictions and one all-occupation row per jurisdiction.

Confirmed 35,223 detailed or most-detailed occupation-state rows in the retained geography.

Confirmed 830 national rows designated detailed and 829 corresponding categories with state/DC evidence.

Recalculated the four tier members' state counts, five-state shares, effective-state values, and all-jobs similarities directly from the official source files.

Rebuilt the full ranking under three alternate cell/geography specifications.

Tested 2,000 weight draws with a frozen seed.

Applied leave-one-component-out checks and preserved their ranks in the supporting workbook.

Retained source, derived, robustness, interpretation, and non-claim categories in a claim ledger.

Employment is not hiring. OEWS employment stocks do not count current openings, postings, applicants, or offers.

State is a broad geography. Jobs may be concentrated in particular metros, facilities, institutions, or rural areas.

Survey universe. The self-employed and several other worker classes are excluded; most agriculture is outside OEWS coverage. [4]

Three-year panel design. May 2025 estimates combine six panels and are not a single-month census. [4]

Suppression. Missing state cells can reflect confidentiality or quality rules. They are never interpreted as zero. [5]

Analyst-defined thresholds. National employment, reliable-state count, coverage ratio, and PRSE cutoffs are MyTopMatch rules.

Composite dependence. Rankings depend on component definitions, normalization, and weights; the robust tier reduces but does not eliminate that dependence.

Rounded employment. Published total-employment values are rounded to the nearest ten.

Point-in-time edition. The study does not establish time-series persistence or future resilience.

No causal claim. The analysis cannot show that geographic diversification causes better worker outcomes.

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

• Career advice is everywhere. Auditable evidence is harder to find.
• Workers are routinely told which jobs are growing, which degrees are valuable, where salaries are highest, and which careers are supposedly easy to enter. Those claims often come from a single table, an unexplained ranking, or a collection of job postings that may change before a reader can act.
• MyTopMatch Research was created to ask deeper questions and show exactly how each answer was produced.
• The continuing research program combines authoritative labor-market sources, reconciles their occupational classifications, creates transparent derived measures, tests the stability of important results, and preserves an audit record for every publishable claim. Its purpose is practical: give workers, employers, journalists, and workforce leaders evidence they can examine rather than conclusions they are expected to accept on faith.
• This is original research and analysis by MyTopMatch. The underlying source data remain the work of the agencies and organizations that produced them. MyTopMatch's contribution is the research design: the questions asked, the combinations of datasets, the occupational crosswalks, the calculations, the statistical tests, the validation thresholds, and the interpretation of the results.
• ## The questions behind the program
• The labor market rarely gives workers a clean answer to the questions that matter most:
• - Which occupations offer strong pay and opportunity relative to their formal preparation requirements? - Where does the education held by incumbent workers differ from the education BLS classifies as typical for entry? - Which locations combine occupational scale, concentration, and purchasing-power-adjusted pay? - How strongly are education, experience, training, and occupational complexity associated with compensation? - Which careers give workers credible future pathways if demand changes? - Which occupational transitions look similar on paper, and which are actually supported by observed worker movement?
• No single federal dataset answers all of these questions. MyTopMatch therefore built a common analytical structure across occupational employment, wages, projections, worker education, skills, job preparation, geography, and observed transitions.
• ## What the first analyses found
• The first completed research cycle produced several findings that passed the program's publication standards with defined limitations.
• ### The education of incumbent managers can differ sharply from the current entry benchmark
• **Statistical finding:** A MyTopMatch analysis of 2024 American Community Survey public-use microdata found that 59.6% of wage-and-salary construction managers ages 25 to 64 held less than a bachelor's degree. The 90% confidence interval was 58.0% to 61.2%. Among facilities managers, the corresponding estimate was 63.4%, with a 90% interval of 60.7% to 66.2%.
• The Bureau of Labor Statistics classifies a bachelor's degree as the education typically needed for entry into both occupations. That classification and the ACS measure answer different questions. The BLS category describes typical entry preparation. ACS describes the education held by people already doing the work.
• **Interpretation:** The difference identifies experience-based pathways worth investigating. It does not establish that a current applicant can enter either occupation without a degree, and it does not reveal what credential a worker held when first entering the field.
• ### The educational composition of human-resources assistants changed
• **Statistical finding:** The bachelor's-or-higher share among human-resources assistants rose from 40.3% in 2018 to 55.6% in 2024, an increase of 15.3 percentage points. The change survived false-discovery-rate control across occupations, and a 2019-to-2024 sensitivity test remained positive.
• **Interpretation:** The incumbent workforce changed materially over the period studied. The available data do not identify the cause. Employer screening practices, workforce composition, geography, industry mix, cohort replacement, and worker selection remain possible explanations.
• ### Three states formed a stable software-developer opportunity tier
• **Calculated result:** Washington, California, and Virginia formed the stable top state tier in the matched-2024 MyTopMatch Geographic Opportunity analysis for software developers. Each state appeared in the top five across all 500 alternative weight draws.
• The composite combined occupational employment scale, concentration, and purchasing-power-adjusted median pay. The accompanying study will publish each component so readers can see why a state scores highly and whether a different weighting system changes the conclusion.
• ### Management occupations showed a large descriptive wage difference
• **Derived calculation:** BLS Occupational Employment and Wage Statistics reported a May 2025 median annual wage of $126,520 for management occupations and $50,980 across all occupations. The ratio of those published group medians is 2.48.
• That is an unadjusted occupational-group comparison. It is not a causal estimate of the financial return from being promoted, and it does not control for education, tenure, industry, geography, hours, or responsibility.
• These findings will be released as separate studies with their full eligibility rules, uncertainty statements, source versions, sensitivity checks, and audit records.
• ### A ranking was withheld after it failed the release standard
• The program's most important result may be one it has declined to publish.
• MyTopMatch tested a transparent occupational-transition model on 1,021 held-out transitions constructed from linked monthly Current Population Survey records. The model reached a weighted macro ROC AUC of 0.925, placed the observed destination in its top ten 48.9% of the time, and predicted wage direction correctly for 61.5% of eligible transitions.
• Those results did not clear the preregistered release standard. The model passed four of eight frozen gates and failed the required improvement over simple baselines, the top-ten relative-improvement threshold, the calibration ceiling, and an external Survey of Income and Program Participation sensitivity check.
• Career Mobility, Career Switchability, and Career Resilience rankings will remain withheld until the necessary gates pass on a newly untouched cohort. MyTopMatch will publish a methods and status report explaining what worked, what failed, and what must happen next.
• That decision reflects a governing principle of the program: a compelling headline cannot override a failed validation rule.
• ## The data foundation
• The first research cycle uses current, documented releases available at execution time:
• - **BLS Employment Projections, 2025–35:** occupational employment, growth, annual openings, median wages, typical education needed for entry, related experience, and on-the-job training. - **BLS Occupational Employment and Wage Statistics, May 2025:** national, state, metropolitan, and industry-level occupational employment and wage estimates. - **U.S. Census Bureau American Community Survey public-use microdata** — worker education, occupation, earnings, employment, hours, and demographic variables, with survey weights and replicate weights where required. - **Current Population Survey and Survey of Income and Program Participation public-use files:** observed occupational transitions used under protected, aggregate-only disclosure controls. - **O*NET 31.0:** skills, knowledge, abilities, work activities, tasks, education, training, experience, related occupations, and occupational taxonomy. - **Bureau of Economic Analysis 2024 Regional Price Parities:** geographic price-level adjustments for state and metropolitan comparisons.
• Raw source files are preserved unchanged. Transformations, mapping tables, scripts, intermediate outputs, data dictionaries, checksums, and finding audits are retained so the analysis can be reproduced and revised when new releases become available.
• ## Four labels govern every major statement
• Every MyTopMatch research release separates four kinds of claims:
• 1. **Source data** are facts taken directly from an identified authoritative dataset. 2. **Derived calculations** are values MyTopMatch computes from source data using a disclosed formula. 3. **Statistical findings** are relationships or estimates supported by a defined quantitative analysis and its uncertainty checks. 4. **Interpretation** explains potential meaning, implications, and hypotheses without presenting them as observed facts.
• Exploratory findings receive an additional label. They may reveal valuable patterns, though they were discovered after examining the data and must be distinguished from predefined confirmatory questions.
• ## What publication requires
• Every headline-worthy finding must pass a structured review covering sample size, missingness, occupational coding, survey weights, outliers, alternate specifications, classification changes, time effects, geography, confounding, practical magnitude, and multiple comparisons where relevant.
• Composite indices receive additional scrutiny. Each component must have a stated purpose. Normalization and weighting must be documented. Reasonable alternate weights must be tested. When rankings move substantially under defensible alternatives, the publication must show that instability rather than conceal it behind a single ordinal list.
• Each major claim receives a finding ID and an audit record identifying the data releases, sample, variables, calculation, statistical method, result, effect size, confidence interval, robustness tests, alternative explanations, limitations, validation status, and publication status.
• ## What readers can expect
• The initial MyTopMatch Research library is structured as ten substantive articles and two standalone status pages. The first publication sequence will examine:
• - the Degree Gap between typical-entry education and incumbent attainment; - changes in worker educational composition; - opportunity relative to measured formal preparation; - the association between occupational requirements and pay; - geographic opportunity for specific occupations; - management and leadership economics; - the limits of current public occupational-licensing data; and - the continuing validation of Career Mobility, Switchability, and Resilience measures.
• Together with this launch article and a master methodology and data-governance article, these releases will establish a 12-publication research center. The Switchability and Resilience pages will remain status publications until their evidence dependencies are resolved.
• MyTopMatch Research is designed as a continuing program. Direct-data studies can be refreshed as BLS, Census, O*NET, and BEA issue new releases. Longitudinal studies will preserve classification breaks and missing years rather than silently smoothing them away.
• ## How to cite MyTopMatch Research
• If a finding, chart, table, or interpretation from this program is quoted or reused, the citation should identify MyTopMatch Research as the analyst and link to the permanent page for the specific study.
• **Preferred citation:** MyTopMatch Research. “Introducing MyTopMatch Research: A New Evidence Base for Career Decisions.” *MyTopMatch Labor Market Research*, 2026. Use the canonical URL for this page.
• **Suggested media attribution:** According to a MyTopMatch Research analysis of U.S. Bureau of Labor Statistics, U.S. Census Bureau, O*NET, and Bureau of Economic Analysis data...
• **Suggested chart credit:** Source: MyTopMatch Research, [Study Title] (2026), using BLS, Census, O*NET, and/or BEA data. Link to the canonical MyTopMatch study page.
• Final reuse terms for MyTopMatch-created charts and supporting tables will be displayed on each downloadable asset after legal review. The original public data remain subject to their respective source terms and attribution requirements.
• ## A research program readers can inspect
• Career decisions carry real consequences: time, money, education, relocation, income, and professional identity. The evidence supporting those decisions deserves to be visible.
• MyTopMatch Research will publish findings that survive its standards, explain findings that require caution, and keep incomplete rankings off the market until the evidence is strong enough. Readers will be able to trace each major claim from its source data through its calculation and validation record.
• That is the commitment behind this research program—and the standard every MyTopMatch release will be required to meet.
• ## Sources and data attribution
• - BLS Occupational Projections and Worker Characteristics, 2025–35 - BLS Occupational Employment and Wage Statistics tables, May 2025 - U.S. Census Bureau 2024 ACS Data Release - U.S. Census Bureau ACS 1-Year PUMS - U.S. Census Bureau Current Population Survey datasets - U.S. Census Bureau Survey of Income and Program Participation datasets - O*NET 31.0 Database - O*NET 31.0 Database Content License - BEA Regional Price Parities by State and Metro Area - BLS Copyright and Source-Citation Guidance - U.S. Census Bureau Citation Guidance
• This analysis includes information from the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. MyTopMatch modified and combined the information. USDOL/ETA has not approved, endorsed, or tested those modifications. O*NET® is a trademark of USDOL/ETA.
• Source data include material from the U.S. Bureau of Labor Statistics. BLS cannot vouch for data or analyses after retrieval and transformation by MyTopMatch. Source data also include U.S. Census Bureau public-use files. Conclusions are the responsibility of MyTopMatch. No source agency has approved or endorsed this research.
• Copyright © 2026 MyTopMatch Research. All rights reserved. Proposed public reuse terms remain pending final legal approval.
• ## Material limitations
• - Public occupational data do not establish the hiring standard of a specific employer or guarantee individual access to an occupation. - Incumbent education does not reveal education at career entry. - Occupational-group wage comparisons do not estimate individual promotion effects. - BEA Regional Price Parities are broad local price measures rather than occupation-specific cost indexes. - Public licensing coverage is incomplete; absence of a record cannot be treated as absence of a licensing requirement. - Transition behavior reflects opportunity, preferences, geography, hiring volume, labor-force conditions, and measurement error. A predictive score is not an individualized recommendation. - Publication rights for CareerOneStop-derived licensing aggregates remain under legal review; no licensing table is included in this article.

Career advice is everywhere. Auditable evidence is harder to find.

Workers are routinely told which jobs are growing, which degrees are valuable, where salaries are highest, and which careers are supposedly easy to enter. Those claims often come from a single table, an unexplained ranking, or a collection of job postings that may change before a reader can act.

MyTopMatch Research was created to ask deeper questions and show exactly how each answer was produced.

The continuing research program combines authoritative labor-market sources, reconciles their occupational classifications, creates transparent derived measures, tests the stability of important results, and preserves an audit record for every publishable claim. Its purpose is practical: give workers, employers, journalists, and workforce leaders evidence they can examine rather than conclusions they are expected to accept on faith.

This is original research and analysis by MyTopMatch. The underlying source data remain the work of the agencies and organizations that produced them. MyTopMatch's contribution is the research design: the questions asked, the combinations of datasets, the occupational crosswalks, the calculations, the statistical tests, the validation thresholds, and the interpretation of the results.

## The questions behind the program

The labor market rarely gives workers a clean answer to the questions that matter most:

- Which occupations offer strong pay and opportunity relative to their formal preparation requirements? - Where does the education held by incumbent workers differ from the education BLS classifies as typical for entry? - Which locations combine occupational scale, concentration, and purchasing-power-adjusted pay? - How strongly are education, experience, training, and occupational complexity associated with compensation? - Which careers give workers credible future pathways if demand changes? - Which occupational transitions look similar on paper, and which are actually supported by observed worker movement?

No single federal dataset answers all of these questions. MyTopMatch therefore built a common analytical structure across occupational employment, wages, projections, worker education, skills, job preparation, geography, and observed transitions.

## What the first analyses found

The first completed research cycle produced several findings that passed the program's publication standards with defined limitations.

### The education of incumbent managers can differ sharply from the current entry benchmark

**Statistical finding:** A MyTopMatch analysis of 2024 American Community Survey public-use microdata found that 59.6% of wage-and-salary construction managers ages 25 to 64 held less than a bachelor's degree. The 90% confidence interval was 58.0% to 61.2%. Among facilities managers, the corresponding estimate was 63.4%, with a 90% interval of 60.7% to 66.2%.

The Bureau of Labor Statistics classifies a bachelor's degree as the education typically needed for entry into both occupations. That classification and the ACS measure answer different questions. The BLS category describes typical entry preparation. ACS describes the education held by people already doing the work.

**Interpretation:** The difference identifies experience-based pathways worth investigating. It does not establish that a current applicant can enter either occupation without a degree, and it does not reveal what credential a worker held when first entering the field.

### The educational composition of human-resources assistants changed

**Statistical finding:** The bachelor's-or-higher share among human-resources assistants rose from 40.3% in 2018 to 55.6% in 2024, an increase of 15.3 percentage points. The change survived false-discovery-rate control across occupations, and a 2019-to-2024 sensitivity test remained positive.

**Interpretation:** The incumbent workforce changed materially over the period studied. The available data do not identify the cause. Employer screening practices, workforce composition, geography, industry mix, cohort replacement, and worker selection remain possible explanations.

### Three states formed a stable software-developer opportunity tier

**Calculated result:** Washington, California, and Virginia formed the stable top state tier in the matched-2024 MyTopMatch Geographic Opportunity analysis for software developers. Each state appeared in the top five across all 500 alternative weight draws.

The composite combined occupational employment scale, concentration, and purchasing-power-adjusted median pay. The accompanying study will publish each component so readers can see why a state scores highly and whether a different weighting system changes the conclusion.

### Management occupations showed a large descriptive wage difference

**Derived calculation:** BLS Occupational Employment and Wage Statistics reported a May 2025 median annual wage of $126,520 for management occupations and $50,980 across all occupations. The ratio of those published group medians is 2.48.

That is an unadjusted occupational-group comparison. It is not a causal estimate of the financial return from being promoted, and it does not control for education, tenure, industry, geography, hours, or responsibility.

These findings will be released as separate studies with their full eligibility rules, uncertainty statements, source versions, sensitivity checks, and audit records.

### A ranking was withheld after it failed the release standard

The program's most important result may be one it has declined to publish.

MyTopMatch tested a transparent occupational-transition model on 1,021 held-out transitions constructed from linked monthly Current Population Survey records. The model reached a weighted macro ROC AUC of 0.925, placed the observed destination in its top ten 48.9% of the time, and predicted wage direction correctly for 61.5% of eligible transitions.

Those results did not clear the preregistered release standard. The model passed four of eight frozen gates and failed the required improvement over simple baselines, the top-ten relative-improvement threshold, the calibration ceiling, and an external Survey of Income and Program Participation sensitivity check.

Career Mobility, Career Switchability, and Career Resilience rankings will remain withheld until the necessary gates pass on a newly untouched cohort. MyTopMatch will publish a methods and status report explaining what worked, what failed, and what must happen next.

That decision reflects a governing principle of the program: a compelling headline cannot override a failed validation rule.

## The data foundation

The first research cycle uses current, documented releases available at execution time:

- **BLS Employment Projections, 2025–35:** occupational employment, growth, annual openings, median wages, typical education needed for entry, related experience, and on-the-job training. - **BLS Occupational Employment and Wage Statistics, May 2025:** national, state, metropolitan, and industry-level occupational employment and wage estimates. - **U.S. Census Bureau American Community Survey public-use microdata** — worker education, occupation, earnings, employment, hours, and demographic variables, with survey weights and replicate weights where required. - **Current Population Survey and Survey of Income and Program Participation public-use files:** observed occupational transitions used under protected, aggregate-only disclosure controls. - **O*NET 31.0:** skills, knowledge, abilities, work activities, tasks, education, training, experience, related occupations, and occupational taxonomy. - **Bureau of Economic Analysis 2024 Regional Price Parities:** geographic price-level adjustments for state and metropolitan comparisons.

Raw source files are preserved unchanged. Transformations, mapping tables, scripts, intermediate outputs, data dictionaries, checksums, and finding audits are retained so the analysis can be reproduced and revised when new releases become available.

## Four labels govern every major statement

Every MyTopMatch research release separates four kinds of claims:

1. **Source data** are facts taken directly from an identified authoritative dataset. 2. **Derived calculations** are values MyTopMatch computes from source data using a disclosed formula. 3. **Statistical findings** are relationships or estimates supported by a defined quantitative analysis and its uncertainty checks. 4. **Interpretation** explains potential meaning, implications, and hypotheses without presenting them as observed facts.

Exploratory findings receive an additional label. They may reveal valuable patterns, though they were discovered after examining the data and must be distinguished from predefined confirmatory questions.

## What publication requires

Every headline-worthy finding must pass a structured review covering sample size, missingness, occupational coding, survey weights, outliers, alternate specifications, classification changes, time effects, geography, confounding, practical magnitude, and multiple comparisons where relevant.

Composite indices receive additional scrutiny. Each component must have a stated purpose. Normalization and weighting must be documented. Reasonable alternate weights must be tested. When rankings move substantially under defensible alternatives, the publication must show that instability rather than conceal it behind a single ordinal list.

Each major claim receives a finding ID and an audit record identifying the data releases, sample, variables, calculation, statistical method, result, effect size, confidence interval, robustness tests, alternative explanations, limitations, validation status, and publication status.

## What readers can expect

The initial MyTopMatch Research library is structured as ten substantive articles and two standalone status pages. The first publication sequence will examine:

- the Degree Gap between typical-entry education and incumbent attainment; - changes in worker educational composition; - opportunity relative to measured formal preparation; - the association between occupational requirements and pay; - geographic opportunity for specific occupations; - management and leadership economics; - the limits of current public occupational-licensing data; and - the continuing validation of Career Mobility, Switchability, and Resilience measures.

Together with this launch article and a master methodology and data-governance article, these releases will establish a 12-publication research center. The Switchability and Resilience pages will remain status publications until their evidence dependencies are resolved.

MyTopMatch Research is designed as a continuing program. Direct-data studies can be refreshed as BLS, Census, O*NET, and BEA issue new releases. Longitudinal studies will preserve classification breaks and missing years rather than silently smoothing them away.

## How to cite MyTopMatch Research

If a finding, chart, table, or interpretation from this program is quoted or reused, the citation should identify MyTopMatch Research as the analyst and link to the permanent page for the specific study.

**Preferred citation:** MyTopMatch Research. “Introducing MyTopMatch Research: A New Evidence Base for Career Decisions.” *MyTopMatch Labor Market Research*, 2026. Use the canonical URL for this page.

**Suggested media attribution:** According to a MyTopMatch Research analysis of U.S. Bureau of Labor Statistics, U.S. Census Bureau, O*NET, and Bureau of Economic Analysis data...

**Suggested chart credit:** Source: MyTopMatch Research, [Study Title] (2026), using BLS, Census, O*NET, and/or BEA data. Link to the canonical MyTopMatch study page.

Final reuse terms for MyTopMatch-created charts and supporting tables will be displayed on each downloadable asset after legal review. The original public data remain subject to their respective source terms and attribution requirements.

## A research program readers can inspect

Career decisions carry real consequences: time, money, education, relocation, income, and professional identity. The evidence supporting those decisions deserves to be visible.

MyTopMatch Research will publish findings that survive its standards, explain findings that require caution, and keep incomplete rankings off the market until the evidence is strong enough. Readers will be able to trace each major claim from its source data through its calculation and validation record.

That is the commitment behind this research program—and the standard every MyTopMatch release will be required to meet.

## Sources and data attribution

- BLS Occupational Projections and Worker Characteristics, 2025–35 - BLS Occupational Employment and Wage Statistics tables, May 2025 - U.S. Census Bureau 2024 ACS Data Release - U.S. Census Bureau ACS 1-Year PUMS - U.S. Census Bureau Current Population Survey datasets - U.S. Census Bureau Survey of Income and Program Participation datasets - O*NET 31.0 Database - O*NET 31.0 Database Content License - BEA Regional Price Parities by State and Metro Area - BLS Copyright and Source-Citation Guidance - U.S. Census Bureau Citation Guidance

This analysis includes information from the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. MyTopMatch modified and combined the information. USDOL/ETA has not approved, endorsed, or tested those modifications. O*NET® is a trademark of USDOL/ETA.

Source data include material from the U.S. Bureau of Labor Statistics. BLS cannot vouch for data or analyses after retrieval and transformation by MyTopMatch. Source data also include U.S. Census Bureau public-use files. Conclusions are the responsibility of MyTopMatch. No source agency has approved or endorsed this research.

Copyright © 2026 MyTopMatch Research. All rights reserved. Proposed public reuse terms remain pending final legal approval.

## Material limitations

- Public occupational data do not establish the hiring standard of a specific employer or guarantee individual access to an occupation. - Incumbent education does not reveal education at career entry. - Occupational-group wage comparisons do not estimate individual promotion effects. - BEA Regional Price Parities are broad local price measures rather than occupation-specific cost indexes. - Public licensing coverage is incomplete; absence of a record cannot be treated as absence of a licensing requirement. - Transition behavior reflects opportunity, preferences, geography, hiring volume, labor-force conditions, and measurement error. A predictive score is not an individualized recommendation. - Publication rights for CareerOneStop-derived licensing aggregates remain under legal review; no licensing table is included in this article.

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

• Management pay has more than one industry leader.
• A MyTopMatch analysis of the Bureau of Labor Statistics' May 2025 Occupational Employment and Wage Statistics found three distinct results:
• Those leaders answer different questions. A ratio describes relative distance from a sector's nonmanagement wage base. A dollar gap describes the estimated annual difference. A management wage level describes how much the management group earned without reference to the comparison workforce.
• The published sector estimate covered approximately 9.1 million wage-and-salary jobs in Administrative and Support and Waste Management and Remediation Services. About 488,670 of those jobs were in the management occupational group.
• BLS reported a mean annual wage of 139,220** for management occupations and **56,320 for all occupations in the sector. MyTopMatch removed management employment and its estimated wage total from the sector total, producing an estimated nonmanagement mean of $51,623.
• The resulting calculation was:
• Management wage ratio = $139,220 ÷ $51,623 = 2.70.
• The corresponding estimated dollar differential was $87,597.
• This sector remained the proportional leader among full-coverage sectors under two alternate definitions: the published management mean divided by the published all-occupation mean, and the published management median divided by the published all-occupation median.
• Source: MyTopMatch calculations from May 2025 BLS OEWS national sector estimates. Dollar values derived from published estimates may differ by a few dollars because BLS publishes rounded employment and wage values.
• The published Sector 11 category showed a ratio of 2.61, which would place second in the unqualified numerical ordering. BLS does not cover most agricultural employment in OEWS; the sector estimate covers logging and specified agricultural support activities. MyTopMatch therefore reports the result in the supporting workbook but excludes it from the main full-coverage ranking.
• Mining led the dollar comparison even though it ranked fourth among full-coverage sectors by proportional differential. Its management mean was 178,350**, compared with an estimated nonmanagement mean of **73,755, producing a gap of approximately $104,595.
• Finance and Insurance followed with an estimated gap of 103,148**. Management of Companies and Enterprises followed at **100,141.
• The ordering changed again when the question became simply, “Where were management wages highest?” Information led at 194,600**, followed by Management of Companies and Enterprises at **193,000 and Finance and Insurance at $190,880.
• The rank correlation between the proportional differential and the dollar differential was 0.43 across 20 sector categories. That result was descriptive; with only 20 categories and a two-sided p-value of approximately 0.059, it did not clear a conventional 0.05 significance threshold. MyTopMatch does not treat it as evidence of a stable population relationship.
• Across the 20 national OEWS sector categories and government designation analyzed, the management-to-nonmanagement mean-wage ratio ranged from 1.75 to 2.70. The median sector ratio was 2.12.
• The lowest ratio appeared in the OEWS government designation, at 1.75. Utilities followed at 1.78, and Health Care and Social Assistance at 1.79. These are still substantial descriptive differences, but they should not be interpreted as the amount an individual would gain by receiving a promotion.
• This analysis compares different occupational groups at one point in time. It does not follow the same workers before and after a promotion. It does not adjust for education, experience, tenure, hours, establishment size, geography, occupation mix, responsibility, authority, or selection into management.
• The calculated ratio can reflect several forces at once:
• For those reasons, the public finding is an industry-level wage differential. It is not a causal estimate of the return to becoming a manager.
• Workers evaluating management opportunities should ask three separate questions:
• An industry may look attractive on one measure and ordinary on another. The best comparison depends on the decision being made.
• For employers, the results provide an external descriptive benchmark for reviewing career architecture and compensation structures. They can help identify questions for a company-level analysis:
• Company decisions require internal data. The sector results cannot establish pay equity, appropriate compensation, or the causal value of management responsibility inside a particular organization.
• The analysis uses the May 2025 national sector file from the BLS Occupational Employment and Wage Statistics program. BLS published the release on May 15, 2026. The file uses the 2018 Standard Occupational Classification system and 2022 North American Industry Classification System sectors.
• OEWS is an establishment survey of wage-and-salary employment in nonfarm establishments. The May 2025 estimates combine six semiannual panels collected from November 2022 through May 2025. BLS reports that the full sample included approximately 1.1 million establishments. OEWS excludes self-employed workers and most agricultural employment.
• MyTopMatch selected the published all-occupation row (00-0000) and management major-group row (11-0000) for each of 20 national sector categories/designations. No sector was removed from the workbook. Sector 11 is flagged because OEWS coverage is limited to logging and specified agricultural support activities. The government designation is flagged because it is an OEWS-defined public-sector grouping with stated exclusions.
• For each sector:
• Nonmanagement mean wage = [(all-sector employment × all-sector mean wage) − (management employment × management mean wage)] ÷ (all-sector employment − management employment).
• Management wage ratio = management mean wage ÷ derived nonmanagement mean wage.
• This removes management occupations from the comparison denominator. Because the published estimates are rounded, the derived nonmanagement mean and dollar difference are reported to the nearest dollar.
• The study compared the primary ordering with:
• The primary ratio ranking and published-median ratio ranking had a Spearman correlation of 0.87 across the 20 categories. Administrative and Support and Waste Management and Remediation Services remained the proportional leader among full-coverage sectors under all three wage-ratio definitions.
• BLS publishes percent relative standard errors for employment and mean-wage estimates. Across the 20 management rows, employment PRSE values ranged no higher than 3.2%, and mean-wage PRSE values no higher than 1.8%. These values support the use of the published sector estimates for descriptive comparison, but they do not quantify the uncertainty of the derived ratio because the covariance between inputs is unavailable in the public file.
• No confidence interval is presented for the derived ratio. No claim of statistical difference between individual sectors is made.
• The source-data archive used for the calculation was oesm25in4.zip, SHA-256 3ef0e42fab1b42a7dac8a3a9b3e7024f5d7a07eff308bff5fc91808061ec08e1.
• Suggested citation: MyTopMatch Research. (2026). “Management Pay Differentials Ran From 1.75x to 2.70x Across Major U.S. Sectors.” MyTopMatch. https://mytopmatch.com/publications/management-wage-differential-by-industry
• When reusing findings, identify the work as original analysis by MyTopMatch Research, identify the underlying public data publisher where relevant, and link to this canonical article. Source publishers do not endorse MyTopMatch's calculations or interpretations.

Management pay has more than one industry leader.

A MyTopMatch analysis of the Bureau of Labor Statistics' May 2025 Occupational Employment and Wage Statistics found three distinct results:

Those leaders answer different questions. A ratio describes relative distance from a sector's nonmanagement wage base. A dollar gap describes the estimated annual difference. A management wage level describes how much the management group earned without reference to the comparison workforce.

The published sector estimate covered approximately 9.1 million wage-and-salary jobs in Administrative and Support and Waste Management and Remediation Services. About 488,670 of those jobs were in the management occupational group.

BLS reported a mean annual wage of 139,220** for management occupations and **56,320 for all occupations in the sector. MyTopMatch removed management employment and its estimated wage total from the sector total, producing an estimated nonmanagement mean of $51,623.

The resulting calculation was:

Management wage ratio = $139,220 ÷ $51,623 = 2.70.

The corresponding estimated dollar differential was $87,597.

This sector remained the proportional leader among full-coverage sectors under two alternate definitions: the published management mean divided by the published all-occupation mean, and the published management median divided by the published all-occupation median.

Source: MyTopMatch calculations from May 2025 BLS OEWS national sector estimates. Dollar values derived from published estimates may differ by a few dollars because BLS publishes rounded employment and wage values.

The published Sector 11 category showed a ratio of 2.61, which would place second in the unqualified numerical ordering. BLS does not cover most agricultural employment in OEWS; the sector estimate covers logging and specified agricultural support activities. MyTopMatch therefore reports the result in the supporting workbook but excludes it from the main full-coverage ranking.

Mining led the dollar comparison even though it ranked fourth among full-coverage sectors by proportional differential. Its management mean was 178,350**, compared with an estimated nonmanagement mean of **73,755, producing a gap of approximately $104,595.

Finance and Insurance followed with an estimated gap of 103,148**. Management of Companies and Enterprises followed at **100,141.

The ordering changed again when the question became simply, “Where were management wages highest?” Information led at 194,600**, followed by Management of Companies and Enterprises at **193,000 and Finance and Insurance at $190,880.

The rank correlation between the proportional differential and the dollar differential was 0.43 across 20 sector categories. That result was descriptive; with only 20 categories and a two-sided p-value of approximately 0.059, it did not clear a conventional 0.05 significance threshold. MyTopMatch does not treat it as evidence of a stable population relationship.

Across the 20 national OEWS sector categories and government designation analyzed, the management-to-nonmanagement mean-wage ratio ranged from 1.75 to 2.70. The median sector ratio was 2.12.

The lowest ratio appeared in the OEWS government designation, at 1.75. Utilities followed at 1.78, and Health Care and Social Assistance at 1.79. These are still substantial descriptive differences, but they should not be interpreted as the amount an individual would gain by receiving a promotion.

This analysis compares different occupational groups at one point in time. It does not follow the same workers before and after a promotion. It does not adjust for education, experience, tenure, hours, establishment size, geography, occupation mix, responsibility, authority, or selection into management.

The calculated ratio can reflect several forces at once:

For those reasons, the public finding is an industry-level wage differential. It is not a causal estimate of the return to becoming a manager.

Workers evaluating management opportunities should ask three separate questions:

An industry may look attractive on one measure and ordinary on another. The best comparison depends on the decision being made.

For employers, the results provide an external descriptive benchmark for reviewing career architecture and compensation structures. They can help identify questions for a company-level analysis:

Company decisions require internal data. The sector results cannot establish pay equity, appropriate compensation, or the causal value of management responsibility inside a particular organization.

The analysis uses the May 2025 national sector file from the BLS Occupational Employment and Wage Statistics program. BLS published the release on May 15, 2026. The file uses the 2018 Standard Occupational Classification system and 2022 North American Industry Classification System sectors.

OEWS is an establishment survey of wage-and-salary employment in nonfarm establishments. The May 2025 estimates combine six semiannual panels collected from November 2022 through May 2025. BLS reports that the full sample included approximately 1.1 million establishments. OEWS excludes self-employed workers and most agricultural employment.

MyTopMatch selected the published all-occupation row (00-0000) and management major-group row (11-0000) for each of 20 national sector categories/designations. No sector was removed from the workbook. Sector 11 is flagged because OEWS coverage is limited to logging and specified agricultural support activities. The government designation is flagged because it is an OEWS-defined public-sector grouping with stated exclusions.

For each sector:

Nonmanagement mean wage = [(all-sector employment × all-sector mean wage) − (management employment × management mean wage)] ÷ (all-sector employment − management employment).

Management wage ratio = management mean wage ÷ derived nonmanagement mean wage.

This removes management occupations from the comparison denominator. Because the published estimates are rounded, the derived nonmanagement mean and dollar difference are reported to the nearest dollar.

The study compared the primary ordering with:

The primary ratio ranking and published-median ratio ranking had a Spearman correlation of 0.87 across the 20 categories. Administrative and Support and Waste Management and Remediation Services remained the proportional leader among full-coverage sectors under all three wage-ratio definitions.

BLS publishes percent relative standard errors for employment and mean-wage estimates. Across the 20 management rows, employment PRSE values ranged no higher than 3.2%, and mean-wage PRSE values no higher than 1.8%. These values support the use of the published sector estimates for descriptive comparison, but they do not quantify the uncertainty of the derived ratio because the covariance between inputs is unavailable in the public file.

No confidence interval is presented for the derived ratio. No claim of statistical difference between individual sectors is made.

The source-data archive used for the calculation was oesm25in4.zip, SHA-256 3ef0e42fab1b42a7dac8a3a9b3e7024f5d7a07eff308bff5fc91808061ec08e1.

Suggested citation: MyTopMatch Research. (2026). “Management Pay Differentials Ran From 1.75x to 2.70x Across Major U.S. Sectors.” MyTopMatch. https://mytopmatch.com/publications/management-wage-differential-by-industry

When reusing findings, identify the work as original analysis by MyTopMatch Research, identify the underlying public data publisher where relevant, and link to this canonical article. Source publishers do not endorse MyTopMatch's calculations or interpretations.

MyTopMatch Management and Leadership Economics MGT-IND-1.0; finding MTM-MGT-002. The analysis uses May 2025 BLS OEWS national sector estimates. MyTopMatch removed management employment and its estimated wage total from each all-occupation sector estimate to derive a nonmanagement mean, then compared management and derived nonmanagement mean wages. Published estimates are rounded. Results are descriptive industry-level wage differentials, not causal promotion premiums or individual pay effects.

Largest proportional differential: Management occupations in Administrative and Support and Waste Management and Remediation Services averaged 2.70 times the estimated mean wage of nonmanagement employees in the same sector.

Largest dollar differential: Mining, Quarrying, and Oil and Gas Extraction produced the largest estimated annual gap, at approximately $104,595.

Highest management wage: Management occupations in Information had the highest published mean annual wage, at $194,600.

the mix of specific management occupations within an industry;

the mix and wage level of the industry's nonmanagement workforce;

differences in education, experience, hours, or job requirements;

the concentration of high-paying firms or activities;

compensation features captured or excluded by OEWS wage definitions.

What is the actual wage for this management occupation? A large ratio can coexist with a lower absolute salary.

How does the offer compare with similar nonmanagement work in the same industry and location? National sector averages are reference points, not offer-specific valuations.

What responsibilities and working conditions accompany the role? OEWS wages do not measure authority, workload, schedule control, benefits, job quality, or promotion probability.

How far are management pay bands from individual-contributor bands?

Does the difference increase consistently with responsibility?

Are internal promotion increases aligned with the role change?

Do pay relationships differ by function, geography, or workforce composition?

management mean divided by the published all-occupation mean;

management median divided by the published all-occupation median;

the primary calculation excluding partial-coverage Sector 11; and

the primary calculation excluding the government designation.

OEWS excludes self-employed workers and most agricultural employment.

Industry estimates describe establishments; occupation codes describe the work performed.

Annual wage estimates generally convert hourly wages using 2,080 hours, with special handling for occupations commonly paid annually.

Wages exclude overtime pay, severance pay, shift differentials, nonproduction bonuses, employer benefit costs, and tuition reimbursement.

The management group combines multiple management occupations with different responsibilities and pay levels.

Industry rankings are sensitive to the selected denominator and to occupational composition.

The published data are rounded, so derived values carry small rounding error.

The analysis is cross-sectional and does not establish causation, promotion outcomes, mobility, access, job quality, or individual fit.

OEWS's three-year pooled design and classification changes limit time-series interpretation; this article makes no trend claim.

BLS OEWS May 2025 tables and downloads

May 2025 national industry-specific OEWS estimates

May 2025 OEWS technical notes

OEWS frequently asked questions

BLS copyright and public-domain information

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

• $126,520: May 2025 median annual wage for management occupations.
• 2.48 descriptive ratio: Management median divided by the $50,980 all-occupation median.
• $75,540 difference: Difference between the two group medians; not an individual raise estimate.
• 1.0817 million openings: BLS projected annual average management openings for 2025–35.

Data vintage: May 2025 / projections 2025–35

Variables: occupation group; industry; employment; median wage; projected growth; annual openings; selected O*NET work content

Management occupations had a May 2025 median annual wage of $126,520, compared with $50,980 for all occupations. The resulting ratio is 2.4818, reported as 2.48, and the dollar difference is $75,540.

This is a descriptive comparison between two occupational-group medians. It does not track the same person before and after a promotion or adjust for education, experience, industry, hours, tenure, geography, authority, or selection into management.

OEWS estimated 11,132,700 wage-and-salary management jobs in May 2025. BLS Employment Projections, which use a broader jobs universe, project management employment growth of 6.2% from 2025 to 2035 and approximately 1.0817 million annual openings. Openings include growth, occupational transfers, and labor-force exits; they are not a count of posted vacancies.

Among 37 detailed SOC 11 management occupations, medical and health services managers had the highest projected growth rate at 24.2%. General and operations managers had the largest projected annual openings count at 285,000.

Across 20 reportable sectors and BLS industry designations, the ratio of the management median to the all-occupation median ranged from 1.56 to 2.67. The variation reflects both the mix of management jobs and the comparison workforce inside each sector.

A high management wage level and a high within-industry ratio are different constructs. In the Information sector, for example, the management median was $173,440 while the ratio was 1.81 because the sector's all-occupation median was also high.

Selected O*NET work-content measures for management occupations emphasize decision making, communication, coordination, persuasion, instructing, and resource management. MyTopMatch treats these as descriptive occupational content. They do not validate a leadership assessment or prove a pathway from an individual-contributor role into management.

Workers should compare specific management occupations and industries, then evaluate responsibility, hours, preparation, local pay, and actual promotion pathways. Employers can examine whether management structures, authority, span of control, and pay bands correspond to the work being performed.

Methodology MLE-1.0; finding MTM-MGT-001. National and industry estimates come from May 2025 OEWS; growth and openings come from BLS Employment Projections 2025–35. The national ratio is $126,520 ÷ $50,980. Industry ratios join reportable management and all-occupation medians within 20 broad sectors/designations. No worker-level causal model is estimated.

The causal wage effect of promotion for an individual worker.

A validated pathway from a specific individual-contributor occupation into management.

A job-posting-based measure of management title compression.

The value of benefits, equity, bonuses outside the OEWS wage concept, or every distributional difference.

A future employment guarantee from the BLS projection.

• BLS Occupational Employment and Wage Statistics Tables: https://www.bls.gov/oes/tables.htm (source reviewed 2026-09-07)
• BLS OEWS Documentation: https://www.bls.gov/oes/oes_doc.htm (source reviewed 2026-09-07)
• BLS Occupational Projections and Worker Characteristics, 2025–35: https://www.bls.gov/emp/tables/occupational-projections-and-characteristics.htm (source reviewed 2026-09-07)
• BLS Employment Projections Methods: https://www.bls.gov/emp/documentation/projections-methods.htm (source reviewed 2026-09-07)
• O*NET 31.0 Database: https://www.onetcenter.org/database.html (source reviewed 2026-09-07)
• O*NET 31.0 Database Content License: https://www.onetcenter.org/license_db.html (source reviewed 2026-09-07) — O*NET 31.0 is used under CC BY 4.0. MyTopMatch modified and combined some information; USDOL/ETA has not approved, endorsed, or tested those modifications.

VERIFIED: Publicly visible publication returned by the existing publication store allowlist. Reviewed 2026-09-30.

• 59.6%: Construction managers below the bachelor's typical-entry benchmark; 90% CI 58.0%–61.2%.
• 63.4%: Facilities managers below the benchmark; 90% CI 60.7%–66.2%.
• Grade A mappings: Both occupations have one-to-one Census-to-BLS mappings and passed sample and relative-standard-error gates.

Data vintage: 2024 incumbents / 2025–35 benchmark

Variables: occupation; educational attainment; worker universe; person weights; replicate weights

The U.S. Bureau of Labor Statistics classifies a bachelor's degree as the education typically needed to enter both construction management and facilities management. A MyTopMatch analysis of 2024 American Community Survey public-use microdata found that most incumbent wage-and-salary workers in both occupations held less than a bachelor's degree.

Among workers ages 25 to 64, 59.6% of construction managers held less than a bachelor's degree, with a 90% confidence interval of 58.0% to 61.2%. The corresponding estimate for facilities managers was 63.4%, with a 90% confidence interval of 60.7% to 66.2%.

BLS assigns each detailed occupation one category for typical education needed for entry, one category for related work experience, and one category for on-the-job training. The category summarizes a typical occupation-level pathway. It is not a legal requirement, an employer-by-employer rule, or a count of credentials held by incumbent workers.

ACS records a respondent's highest educational attainment at the time of the survey. MyTopMatch compared that observed incumbent attainment with the current BLS entry benchmark. The comparison is a Degree Gap; it does not reveal what credential each worker held when entering the occupation.

Construction managers' below-benchmark share ranged from 58.9% among full-time, full-year wage-and-salary workers to 65.1% among all employed workers. Facilities managers remained near 63% in all three tested universes. Across 312 occupations eligible for detailed reporting, below-benchmark rankings correlated at least 0.997 across the alternate universes.

Workers with substantial construction, maintenance, operations, project, budgeting, safety, or supervisory experience have evidence-based reasons to investigate experience-based pathways. They should still verify current employer requirements, applicable licenses, project scope, and the type and duration of experience expected for a specific role.

Applicants can strengthen the inquiry by documenting project scope, budget size, schedule control, safety outcomes, vendor coordination, compliance, team leadership, and the complexity of facilities or construction work already managed. These are practical implications, not tested hiring-effect estimates from ACS.

Employers can compare degree screens in job descriptions with the preparation and performance of successful incumbents. Employer hiring and performance records are required to determine whether particular combinations of education, experience, certification, or work-sample evidence predict outcomes.

Methodology DG-1.0; findings MTM-DG-001 and MTM-DG-002. The primary universe is employed civilian wage-and-salary workers ages 25–64 with valid occupation and education data. Estimates use PWGTP and all 80 ACS person replicate weights with the Census 4/80 factor; 90% margins use 1.645.

Education at entry is unknown because ACS records attainment at the survey date.

Current employer requirements and hiring outcomes are unobserved.

A national workforce share cannot predict individual access.

The headline does not quantify how much or what type of experience may substitute for education.

State and local licensing requirements require separate verification.

• BLS Education and Training Assignments by Detailed Occupation, 2025: https://www.bls.gov/emp/tables/education-and-training-by-occupation.htm (source reviewed 2026-09-07)
• BLS Occupational Projections and Worker Characteristics, 2025–35: https://www.bls.gov/emp/tables/occupational-projections-and-characteristics.htm (source reviewed 2026-09-07)
• 2024 ACS PUMS Documentation: https://www.census.gov/programs-surveys/acs/microdata/documentation/2024.html (source reviewed 2026-09-07)
• Construction Managers, Occupational Outlook Handbook: https://www.bls.gov/ooh/management/construction-managers.htm (source reviewed 2026-09-07)
• Administrative Services and Facilities Managers, Occupational Outlook Handbook: https://www.bls.gov/ooh/management/administrative-services-managers.htm (source reviewed 2026-09-07)

VERIFIED: Publicly visible publication returned by the existing publication store allowlist. Reviewed 2026-09-30.

• Rank 1 of 747: Stockers and order fillers led the complete-case Opportunity Efficiency ranking.
• 70.9 score: Opportunity 79.27 minus Barrier 37.50, centered through the frozen formula.
• Rank range 1–4: The leader remained in the top four in every leave-one-component-out test.
• Pay component 11.0: The visible component prevents the overall result from being mistaken for a high-pay ranking.

Data vintage: BLS 2025–35 / OEWS May 2025 / O*NET 31.0

Variables: pay; openings; growth; employment; geographic breadth; education; experience; training; Job Zone

Stockers and order fillers ranked first among 747 complete-case occupations in MyTopMatch's Opportunity-to-Barrier Index. The occupation combined an Opportunity score of 79.27 with a measured Barrier score of 37.50, producing Opportunity Efficiency of 70.89, reported as 70.9.

The score reflects market scale, projected openings and growth, geographic breadth, compensation, and formal preparation. Stockers' pay component was 11.0 out of 100. The result therefore does not label the occupation the best career overall; it identifies a strong combination of scale and access under the defined measure.

BLS reports 2.804 million stocker and order-filler jobs in 2025 and projects 3.055 million in 2035, an increase of 250,700 jobs or 8.9%. The agency projects an average of 430,700 openings per year over the decade. Openings include both occupational growth and replacement needs.

BLS classifies the occupation as typically requiring no formal educational credential, no related work experience, and short-term on-the-job training. O*NET assigns Job Zone 1–2, indicating very little to some preparation. These are national occupation-level classifications; individual employers can set different requirements.

The 2025 median annual wage for stockers and order fillers was $37,330, compared with $50,980 across all occupations. The $13,650 difference helps explain the occupation's pay component of 11.0. The comparison is descriptive and does not adjust for hours, geography, industry, shift differentials, benefits, union coverage, or worker characteristics.

The Opportunity pillar gives equal weight to median pay, openings rate, log annual openings, projected growth, log employment scale, and geographic breadth. The Barrier pillar gives equal weight to BLS typical entry education, related work experience, on-the-job training, and O*NET Job Zone.

Highly skewed count variables are log transformed. Each component is oriented so a higher value means more of the named construct, converted to a robust z-score, and mapped through the standard normal cumulative distribution to a 0–100 score. Opportunity Efficiency equals 50 plus one-half of the difference between Opportunity and Barrier.

Stockers and order fillers ranked between first and fourth when each component was omitted in turn. The broader table moved more under reasonable alternatives: the weakest top-decile retention was 64%, and the median span between an occupation's 5th- and 95th-percentile simulated ranks was 69 positions.

MyTopMatch therefore emphasizes high-scoring tiers, component values, and sensitivity measures. A tenth of an index point should not be read as a meaningful difference in a worker's lived opportunity.

The first ten occupations are separated by roughly four Opportunity Efficiency points. Fast food and counter workers ranked second at 69.04, followed by landscaping and groundskeeping workers at 68.51. Small changes in reasonable modeling choices can alter the order, so the table is best read as a high-scoring tier.

BLS and O*NET describe stockers and order fillers as receiving, unpacking, tracking, moving, and inspecting merchandise; stocking shelves; filling orders; and maintaining records. Reported technology skills include inventory and warehouse-management systems, handheld devices, and spreadsheets. The work can also involve lifting, carrying, repetitive tasks, bending, kneeling, crouching, and variable schedules.

The primary Barrier score measures typical formal preparation. It does not contain a nationally complete occupation-by-state legal-requirement matrix. Missing licensing records are never treated as evidence that no license exists. The public result also omits benefits, schedule predictability, injury risk, turnover, worker voice, commuting constraints, and advancement quality.

A job seeker can use a high score to begin a local investigation: review current openings, hourly pay, scheduled hours, benefits, physical demands, training, equipment and software expectations, transportation, and advancement paths. Employers and workforce organizations can examine which screens predict retention, safety, performance, and progression.

Methodology OTB-1.0; finding MTM-OTB-001. Ten inputs are robust-CDF normalized. Opportunity and Barrier remain separate, and Opportunity Efficiency = 50 + 0.5 × (Opportunity − Barrier). Complete source outcomes and a mapped O*NET Job Zone are required. Licensing is excluded from the public primary score because nationally complete occupation-by-state coverage is unavailable.

Compare posted hourly pay, scheduled hours, shift premiums, benefits, and overtime expectations.

Verify lifting, standing, equipment, temperature, safety, background, age, and driving requirements.

Document experience with inventory, fulfillment, scanners, warehouse systems, customer service, and material-handling equipment.

Investigate advancement paths into inventory control, shipping and receiving, logistics, supervision, and specialized equipment roles.

A personal hiring probability or fit judgment.

Universal employer requirements or complete legal access.

Job quality or advancement quality.

A causal effect of low formal preparation on opportunity.

A permanent ranking under future releases or every reasonable specification.

• BLS Occupational Projections and Worker Characteristics, 2025–35: https://www.bls.gov/emp/tables/occupational-projections-and-characteristics.htm (source reviewed 2026-09-07)
• BLS Education and Training Assignments by Detailed Occupation, 2025: https://www.bls.gov/emp/tables/education-and-training-by-occupation.htm (source reviewed 2026-09-07)
• BLS Occupational Employment and Wage Statistics Tables: https://www.bls.gov/oes/tables.htm (source reviewed 2026-09-07)
• O*NET 31.0 Database: https://www.onetcenter.org/database.html (source reviewed 2026-09-07)
• O*NET 31.0 Database Content License: https://www.onetcenter.org/license_db.html (source reviewed 2026-09-07) — O*NET 31.0 is used under CC BY 4.0. MyTopMatch modified and combined some information; USDOL/ETA has not approved, endorsed, or tested those modifications.

VERIFIED: Publicly visible publication returned by the existing publication store allowlist. Reviewed 2026-09-30.

• 0.924 validation AUC: The weighted content model best recovered O*NET related-occupation links.
• Stable to weight perturbation: The middle 90% of 200 perturbed-weight AUC values ranged from 0.919 to 0.928.
• 45.7% top-10 recall: At ten suggested neighbors, the model recovered an average of 45.7% of available related links.
• Transition ranks withheld: Linked CPS or SIPP transition validation has not passed the publication gate.

Data vintage: O*NET 31.0 / BLS 2025–35

Variables: skills; knowledge; abilities; work activities; related-occupation links

A MyTopMatch analysis of O*NET 31.0 and BLS occupational data found that a transparent four-domain content model recovered O*NET related-occupation links with a receiver operating characteristic area under the curve of 0.924. The result validates occupational-content resemblance. It does not yet validate the probability, accessibility, or direction of a worker's career transition.

The pilot compares occupations on skills, knowledge, abilities, and work activities. The frozen specification assigns weights of 30%, 20%, 20%, and 30%, respectively. Importance and level values are scale-normalized, suppression-recommended and not-relevant cells are excluded, and mapped O*NET suboccupations are averaged to the canonical detailed occupational spine.

O*NET related-occupation links are excluded from the similarity score. They are used as an external validation target. This separation prevents the model from being graded on a relationship it already contains.

The weighted model produced an AUC of 0.924, compared with 0.921 for knowledge alone, 0.859 for skills, 0.836 for work activities, and 0.814 for abilities. At ten suggested neighbors, the combined model recovered an average of 45.7% of available related-occupation links.

The result was also stable to reasonable weight changes. Across 200 perturbations of the domain weights, the middle 90% of AUC values ranged from 0.919 to 0.928. That narrow band supports the conclusion that the validation result is not dependent on one exact weighting choice.

Occupational resemblance is only one part of a feasible move. Real transitions also depend on work history, education, training, licensing, geography, hiring practices, and whether comparable workers have actually made the move. The current research package does not contain the linked CPS or SIPP transition samples needed to train and evaluate that second stage.

MyTopMatch therefore withholds Occupational Mobility, Career Switchability, and Career Resilience rankings. Before those products can pass the publication gate, the transition model must be trained and tested on separate cohorts and evaluated for calibration, AUC, top-k recall, subgroup error, wage-direction accuracy, and rank stability.

The similarity model can support a research shortlist. A worker can use content resemblance to identify occupations worth investigating, then verify current credentials, licenses, local demand, pay, and actual hiring pathways. The pilot pair file should not be interpreted as a recommendation or transition probability.

Methodology CMM-1.0. The conservative profile gate requires at least 85% coverage in every domain and complete BLS/OEWS outcomes. The validation target is kept outside the similarity score. This release is a methods-and-status finding rather than a transition ranking.

The probability that a particular worker will be hired into a target occupation.

Whether a transition is legally or practically accessible in a specific location.

Whether an adjacent occupation will raise an individual's pay.

Whether the model performs equally well across demographic groups or career stages.

A public ranking of the most switchable or resilient careers.

• BLS Occupational Projections and Worker Characteristics, 2025–35: https://www.bls.gov/emp/tables/occupational-projections-and-characteristics.htm (source reviewed 2026-09-07)
• BLS Occupational Employment and Wage Statistics Tables: https://www.bls.gov/oes/tables.htm (source reviewed 2026-09-07)
• O*NET 31.0 Database: https://www.onetcenter.org/database.html (source reviewed 2026-09-07)
• O*NET 31.0 Database Content License: https://www.onetcenter.org/license_db.html (source reviewed 2026-09-07) — O*NET 31.0 is used under CC BY 4.0. MyTopMatch modified and combined some information; USDOL/ETA has not approved, endorsed, or tested those modifications.

VERIFIED: Publicly visible publication returned by the existing publication store allowlist. Reviewed 2026-09-30.

• Three-state stable tier: Washington, California, and Virginia had 100% top-five inclusion across 500 primary-method weight draws.
• 98.36 / 97.88 / 90.74: Geographic Opportunity Scores for Washington, California, and Virginia.
• $155,972 / $154,362 / $133,002: Approximate 2024 RPP-adjusted median wages for the three states.
• 49 eligible areas: Forty-nine of 51 state and District of Columbia software-developer cells passed the data-quality gates.

Data vintage: May 2024 OEWS / 2024 BEA RPP

Variables: state employment; employment RSE; location quotient; median wage; state all-occupation median; regional price parity

Washington, California, and Virginia formed the weight-stable state tier for software developers in MyTopMatch's matched 2024 Geographic Opportunity analysis. Their composite scores were 98.36, 97.88, and 90.74, and their RPP-adjusted median wages were approximately $155,972, $154,362, and $133,002.

Each state appeared in the top five in all 500 frozen pillar-weight draws under the primary robust-CDF normalization. New York and North Carolina completed the primary top five, with inclusion rates of 83.0% and 96.8%. A separate percentile-normalization specification placed Virginia sixth, so the headline is explicitly conditional on the primary scoring architecture.

The index combines three equal pillars: employment scale, occupational concentration, and pay. The pay pillar averages the RPP-adjusted software-developer median with the occupation's median-wage premium relative to the all-occupation median in the same state.

Each component is normalized among eligible state and District of Columbia observations for software developers. A score of 98 indicates a high relative position on the defined inputs. It is not a 98% probability of finding a job or a claim that the state is 98% better than another location.

Washington combined 91,470 software developers, a 2.41 location quotient, and a nominal median wage of $166,910. California had the largest employment base at 292,630 and a nominal median of $170,910. Virginia combined 83,290 jobs and a 1.91 location quotient with a lower pay pillar.

After applying 2024 all-items Regional Price Parities, Washington's adjusted median slightly exceeded California's. The calculation improves broad purchasing-power comparability across states. It does not reproduce a household budget or capture taxes, equity compensation, remote-work salary policies, or within-state housing variation.

May 2025 is the latest OEWS edition, while 2024 remains the current RPP price-level year as of publication. MyTopMatch keeps a matched 2024 purchasing-power edition separate from a 2025 nominal reference. This avoids combining a current wage observation with an unmatched price year.

Use the tier to shortlist states, then move to metro-level estimates, current openings, and actual offers. Compare base pay, bonus, equity, benefits, taxes, housing, childcare, transportation, work arrangements, employer depth, and personal constraints. A robust state-level position can still be a poor individual choice.

Eligible cells require complete employment, employment relative standard error, location quotient, median wage, local all-occupation median wage, and 2024 RPP. Employment RSE must be no more than 20%. Forty-nine of 51 state/DC cells passed; Alaska exceeded the RSE threshold, and Vermont lacked required employment and concentration inputs.

Methodology GEO-1.0; finding MTM-GEO-001. Employment scale, location quotient, RPP-adjusted median wage, and the within-state occupational wage premium are robust-CDF normalized among eligible areas. The primary score equally weights scale, concentration, and pay. Sensitivity includes 500 frozen pillar-weight draws, mean-wage substitution, and percentile normalization.

OEWS covers wage-and-salary jobs and excludes self-employed workers.

State averages hide metro, neighborhood, and employer variation.

RPP is an all-items regional price index, not a software-developer or household-specific basket.

The index does not observe vacancies, hiring probability, taxes, equity compensation, or remote-work eligibility.

Weight stability inside one normalization is not universal rank stability.

• May 2024 OEWS State Occupational Estimates: https://www.bls.gov/oes/2024/may/oes_stru.htm (source reviewed 2026-09-07)
• BLS Occupational Employment and Wage Statistics Tables: https://www.bls.gov/oes/tables.htm (source reviewed 2026-09-07)
• BEA Regional Price Parities: https://www.bea.gov/data/prices-inflation/regional-price-parities-state-and-metro-area (source reviewed 2026-09-07)
• BLS OEWS Documentation: https://www.bls.gov/oes/oes_doc.htm (source reviewed 2026-09-07)

VERIFIED: Publicly visible publication returned by the existing publication store allowlist. Reviewed 2026-09-30.

• A career ranking can look precise while overlooking a basic question: must a worker obtain government permission before performing the job?
• Licensing can change the time, cost, portability, and legal feasibility of entering an occupation. It may involve education, supervised practice, examinations, fees, background checks, continuing education, or a separate application in each state. A career-access measure that ignores these requirements risks understating barriers. A measure that treats every missing record as zero risk can be more misleading, because it rewards incomplete reporting.
• MyTopMatch audited the strongest public sources available to its Phase II research before adding licensing to any national index. The audit identified two useful signals and one firm research boundary: neither signal establishes the current legal requirements for every occupation in every jurisdiction.
• That boundary matters. Original research becomes more credible when it records what the data fail to establish.
• The licensing audit combined four components:
• The CareerOneStop extract contained 47,573 rows. MyTopMatch identified 46,609 active rows with valid O*NET-SOC codes. Of those, 44,793 mapped to the 2025 National Employment Matrix crosswalk. Those stages retained 98.0% of source rows at the active-valid step and 94.2% of source rows after the crosswalk.
• The crosswalked data produced positive records for 511 National Employment Matrix occupations. Every state and the District of Columbia had at least one active record. Record update dates in the acquired extract ranged from 2010 through September 2024.
• These figures describe the frozen file. They do not establish complete reporting within a state, complete occupation coverage, or current legal status on the publication date.
• Source: MyTopMatch LIC-1.0 audit of the CareerOneStop / Analyst Resource Center flat extract dated October 14, 2024. Absence remains unknown.
• CareerOneStop states that license information is collected from states through the Analyst Resource Center. The same official page warns that some states do not submit and that it cannot guarantee each state collects all license information.
• That warning controls how the data may be analyzed. A positive record supports a narrow statement: a license record was reported for that occupation and jurisdiction in the acquired extract. An empty cell supports only “no record observed.” It cannot support “no license required.”
• This is a classic missing-data problem with an unusually consequential direction of bias. Coding an unreported requirement as zero would lower the measured barrier. Occupations or states with weaker reporting could appear easier to enter. The error would be embedded inside the ranking and might be invisible to readers.
• MyTopMatch therefore preserved missingness. CareerOneStop records were used only where a positive footprint existed, and the results were limited to covered-subset sensitivity analysis.
• The CPS adds evidence from workers. Its certification and license questions identify whether a person holds a currently active professional certification or state or industry license, whether a credential was issued by a federal, state, or local government, and whether a credential is required for the person’s job.
• BLS documentation makes the interpretation boundary explicit: “required” can mean legally required or required by an employer. A worker may also hold a credential that is helpful, unrelated to the main job, or paired with another credential. Occupational titles alone are insufficient because state rules vary.
• MyTopMatch calculated occupation-level incumbent government-license prevalence only for occupations with at least 200 unique CPS respondents. This threshold reduces unstable small-sample estimates. The resulting measure describes workers who currently hold government-issued credentials. It does not enumerate state statutes or prove what a new entrant must obtain.
• The two sources therefore measure related constructs from different directions:
• Treating the signals as interchangeable would erase the meaning of each measure. MyTopMatch analyzed them separately.
• The primary Opportunity-to-Barrier index evaluates opportunity relative to measured formal preparation. Its Barrier pillar is built from BLS typical entry education, related work experience, and on-the-job training, plus O*NET Job Zone preparation. Licensing is excluded from the primary score because the public sources did not pass the coverage and interpretation gates.
• For the audit, MyTopMatch created two covered-subset sensitivities. Within each subset, the licensing signal was percentile-ranked and assigned 20% of an adjusted Barrier score; the original Barrier score supplied 80%. The Opportunity pillar was unchanged.
• The CareerOneStop sensitivity covered 452 Opportunity-to-Barrier-eligible occupations with positive licensing records. Its adjusted ranking had a Spearman correlation of 0.961 with the original covered-subset ranking. The high overall correlation indicates broad similarity across the list. The top of the ranking was less stable: six of the original top ten remained, and the median occupation moved 26 positions in absolute terms.
• The CPS sensitivity covered 207 eligible occupations with at least 200 unique respondents. Its Spearman correlation was 0.923. Again, six of the original top ten remained. The median absolute rank change was 14 positions.
• Statistical finding: deterministic sensitivity under a prespecified 20% licensing share. The two rows use different complete-case universes and should not be compared as estimates of the same population.
• The audit answers the research question. Licensing signals materially affect which occupations appear at the very top, even when overall rank correlation remains high. The result justifies a change in language: the current Opportunity-to-Barrier index measures opportunity relative to formal preparation. It does not claim to measure full legal or practical access.
• MyTopMatch also added each licensing signal separately to the Requirements-to-Pay model. The model relates log median annual wage to education, experience, on-the-job training, occupation family, and a licensing signal, with 2025 occupational employment weights and HC3 robust standard errors.
• Within the 218-occupation CPS-covered subset, a 10-percentage-point increase in incumbent government-license prevalence was associated with approximately 3.43% higher median annual pay after the model controls. The 95% confidence interval for the full-scale log coefficient was 0.054 to 0.620.
• Within the 507-occupation CareerOneStop-covered subset, a 10-percentage-point increase in the positive-record state footprint was associated with approximately 0.38% higher median pay. Its 95% confidence interval for the full-scale log coefficient ranged from -0.074 to 0.150 and crossed zero.
• These are conditional, noncausal associations in different covered subsets. They do not show that licensing raises pay. Occupational selection, worker composition, regulation, bargaining power, industry structure, and unmeasured job characteristics can influence both licensing and wages. The divergent results also show why a record footprint and incumbent prevalence should remain separate variables.
• The audit applied an adversarial question to every potential claim: how could this result be wrong?
• Several failure paths remained open:
• Any national legal-access score would need explicit occupation-by-jurisdiction statuses: required, conditionally required, voluntary, exempt, or unknown. It would also need statutory authority, effective date, license level, scope, fees, examinations, education, supervised experience, renewal, reciprocity, and source provenance.
• The audited public sources do not supply that matrix. MyTopMatch did not infer it.
• The evidence supports four public conclusions:
• The evidence does not support a definitive list of the easiest occupations to enter legally, a complete state licensing burden ranking, or a national estimate that treats missing CareerOneStop records as unlicensed occupations.
• A future MyTopMatch licensing index should proceed only after a source or audited data build satisfies six gates:
• Until those gates pass, licensing should remain a sensitivity layer and a disclosure in national career indices.
• For job seekers, national rankings are a starting point. The final access decision is local. Workers should confirm requirements with the state licensing board that governs the occupation and check reciprocity before moving.
• For researchers and journalists, a state count should be described as a reported-record footprint when the source has incomplete submission. A worker-prevalence measure should be described as incumbent credential prevalence. Neither label is cosmetic; each protects the claim from overstating what was observed.
• For MyTopMatch, the publication rule is now explicit: an attractive ranking cannot outrun its least complete barrier measure. The research program will publish the limitation and preserve the unfinished measurement problem as a documented next step.
• CareerOneStop processing. MyTopMatch parsed the frozen flat extract, standardized eight-digit O*NET-SOC identifiers, retained active records, limited jurisdiction counts to the 50 states and DC, and mapped valid occupations through the 2025 BLS NEM-to-O*NET crosswalk. Positive records were aggregated; absence remained unknown.
• CPS processing. MyTopMatch used person weights and conservative person deduplication across the pooled January 2024–July 2026 Basic Monthly files. Occupation estimates required at least 200 unique respondents. The credential variable used government-issued license status; interpretations remained at the incumbent level.
• Opportunity-to-Barrier sensitivity. Each licensing signal was analyzed in its own complete-case subset. The signal’s percentile rank supplied 20% of the sensitivity Barrier score, with 80% from the primary Barrier score. Rank stability was evaluated with Spearman correlation, top-ten overlap, and median absolute rank change.
• Requirements-to-Pay sensitivity. Separate employment-weighted linear models predicted log 2025 median annual wage from BLS education, experience, and training ordinals; occupation-family indicators; and one licensing signal. HC3 standard errors were used. Coefficients are associations, not causal effects.
• Verification. The frozen package recorded 24 of 24 core-source checksum passes and 36 of 36 transition/licensing checksum passes. The licensing archive passed ZIP integrity testing. For Article 09, MyTopMatch independently checked the audit counts across the frozen JSON and finding record and recalculated both coefficient confidence intervals and percentage transformations. The row-level file was not republished or reprocessed in the publication workspace.
• No. The official documentation says state submission and within-state collection may be incomplete. MyTopMatch treats absence as unknown.
• No. It measures credentials reported by workers. BLS states that a job-required credential can be required by law or by an employer.
• They observe different constructs. CareerOneStop records reported jurisdiction footprints; CPS records incumbent credential prevalence. Keeping them separate makes the limitations visible.
• This analysis cannot establish causation. One covered-subset association was positive with a confidence interval above zero; the other was small with a confidence interval crossing zero. Selection and unmeasured occupational differences remain plausible explanations.
• The approved language is “opportunity relative to measured formal preparation.” Full access includes licensing, certification, costs, local rules, hiring practices, and other barriers that the current primary index does not completely observe.
• After jurisdiction completeness, legal authority, effective dates, occupation scope, burden components, and reuse rights pass documented release gates.
• Suggested citation: MyTopMatch Research. (2026). “Why Public Licensing Data Cannot Yet Support a National Career-Access Ranking.” MyTopMatch. https://mytopmatch.com/publications/public-occupational-licensing-data-audit-2026
• When reusing findings, identify the work as original analysis by MyTopMatch Research, identify the underlying public data publisher where relevant, and link to this canonical article. Source publishers do not endorse MyTopMatch's calculations or interpretations.

A career ranking can look precise while overlooking a basic question: must a worker obtain government permission before performing the job?

Licensing can change the time, cost, portability, and legal feasibility of entering an occupation. It may involve education, supervised practice, examinations, fees, background checks, continuing education, or a separate application in each state. A career-access measure that ignores these requirements risks understating barriers. A measure that treats every missing record as zero risk can be more misleading, because it rewards incomplete reporting.

MyTopMatch audited the strongest public sources available to its Phase II research before adding licensing to any national index. The audit identified two useful signals and one firm research boundary: neither signal establishes the current legal requirements for every occupation in every jurisdiction.

That boundary matters. Original research becomes more credible when it records what the data fail to establish.

The licensing audit combined four components:

The CareerOneStop extract contained 47,573 rows. MyTopMatch identified 46,609 active rows with valid O*NET-SOC codes. Of those, 44,793 mapped to the 2025 National Employment Matrix crosswalk. Those stages retained 98.0% of source rows at the active-valid step and 94.2% of source rows after the crosswalk.

The crosswalked data produced positive records for 511 National Employment Matrix occupations. Every state and the District of Columbia had at least one active record. Record update dates in the acquired extract ranged from 2010 through September 2024.

These figures describe the frozen file. They do not establish complete reporting within a state, complete occupation coverage, or current legal status on the publication date.

Source: MyTopMatch LIC-1.0 audit of the CareerOneStop / Analyst Resource Center flat extract dated October 14, 2024. Absence remains unknown.

CareerOneStop states that license information is collected from states through the Analyst Resource Center. The same official page warns that some states do not submit and that it cannot guarantee each state collects all license information.

That warning controls how the data may be analyzed. A positive record supports a narrow statement: a license record was reported for that occupation and jurisdiction in the acquired extract. An empty cell supports only “no record observed.” It cannot support “no license required.”

This is a classic missing-data problem with an unusually consequential direction of bias. Coding an unreported requirement as zero would lower the measured barrier. Occupations or states with weaker reporting could appear easier to enter. The error would be embedded inside the ranking and might be invisible to readers.

MyTopMatch therefore preserved missingness. CareerOneStop records were used only where a positive footprint existed, and the results were limited to covered-subset sensitivity analysis.

The CPS adds evidence from workers. Its certification and license questions identify whether a person holds a currently active professional certification or state or industry license, whether a credential was issued by a federal, state, or local government, and whether a credential is required for the person’s job.

BLS documentation makes the interpretation boundary explicit: “required” can mean legally required or required by an employer. A worker may also hold a credential that is helpful, unrelated to the main job, or paired with another credential. Occupational titles alone are insufficient because state rules vary.

MyTopMatch calculated occupation-level incumbent government-license prevalence only for occupations with at least 200 unique CPS respondents. This threshold reduces unstable small-sample estimates. The resulting measure describes workers who currently hold government-issued credentials. It does not enumerate state statutes or prove what a new entrant must obtain.

The two sources therefore measure related constructs from different directions:

Treating the signals as interchangeable would erase the meaning of each measure. MyTopMatch analyzed them separately.

The primary Opportunity-to-Barrier index evaluates opportunity relative to measured formal preparation. Its Barrier pillar is built from BLS typical entry education, related work experience, and on-the-job training, plus O*NET Job Zone preparation. Licensing is excluded from the primary score because the public sources did not pass the coverage and interpretation gates.

For the audit, MyTopMatch created two covered-subset sensitivities. Within each subset, the licensing signal was percentile-ranked and assigned 20% of an adjusted Barrier score; the original Barrier score supplied 80%. The Opportunity pillar was unchanged.

The CareerOneStop sensitivity covered 452 Opportunity-to-Barrier-eligible occupations with positive licensing records. Its adjusted ranking had a Spearman correlation of 0.961 with the original covered-subset ranking. The high overall correlation indicates broad similarity across the list. The top of the ranking was less stable: six of the original top ten remained, and the median occupation moved 26 positions in absolute terms.

The CPS sensitivity covered 207 eligible occupations with at least 200 unique respondents. Its Spearman correlation was 0.923. Again, six of the original top ten remained. The median absolute rank change was 14 positions.

Statistical finding: deterministic sensitivity under a prespecified 20% licensing share. The two rows use different complete-case universes and should not be compared as estimates of the same population.

The audit answers the research question. Licensing signals materially affect which occupations appear at the very top, even when overall rank correlation remains high. The result justifies a change in language: the current Opportunity-to-Barrier index measures opportunity relative to formal preparation. It does not claim to measure full legal or practical access.

MyTopMatch also added each licensing signal separately to the Requirements-to-Pay model. The model relates log median annual wage to education, experience, on-the-job training, occupation family, and a licensing signal, with 2025 occupational employment weights and HC3 robust standard errors.

Within the 218-occupation CPS-covered subset, a 10-percentage-point increase in incumbent government-license prevalence was associated with approximately 3.43% higher median annual pay after the model controls. The 95% confidence interval for the full-scale log coefficient was 0.054 to 0.620.

Within the 507-occupation CareerOneStop-covered subset, a 10-percentage-point increase in the positive-record state footprint was associated with approximately 0.38% higher median pay. Its 95% confidence interval for the full-scale log coefficient ranged from -0.074 to 0.150 and crossed zero.

These are conditional, noncausal associations in different covered subsets. They do not show that licensing raises pay. Occupational selection, worker composition, regulation, bargaining power, industry structure, and unmeasured job characteristics can influence both licensing and wages. The divergent results also show why a record footprint and incumbent prevalence should remain separate variables.

The audit applied an adversarial question to every potential claim: how could this result be wrong?

Several failure paths remained open:

Any national legal-access score would need explicit occupation-by-jurisdiction statuses: required, conditionally required, voluntary, exempt, or unknown. It would also need statutory authority, effective date, license level, scope, fees, examinations, education, supervised experience, renewal, reciprocity, and source provenance.

The audited public sources do not supply that matrix. MyTopMatch did not infer it.

The evidence supports four public conclusions:

The evidence does not support a definitive list of the easiest occupations to enter legally, a complete state licensing burden ranking, or a national estimate that treats missing CareerOneStop records as unlicensed occupations.

A future MyTopMatch licensing index should proceed only after a source or audited data build satisfies six gates:

Until those gates pass, licensing should remain a sensitivity layer and a disclosure in national career indices.

For job seekers, national rankings are a starting point. The final access decision is local. Workers should confirm requirements with the state licensing board that governs the occupation and check reciprocity before moving.

For researchers and journalists, a state count should be described as a reported-record footprint when the source has incomplete submission. A worker-prevalence measure should be described as incumbent credential prevalence. Neither label is cosmetic; each protects the claim from overstating what was observed.

For MyTopMatch, the publication rule is now explicit: an attractive ranking cannot outrun its least complete barrier measure. The research program will publish the limitation and preserve the unfinished measurement problem as a documented next step.

CareerOneStop processing. MyTopMatch parsed the frozen flat extract, standardized eight-digit O*NET-SOC identifiers, retained active records, limited jurisdiction counts to the 50 states and DC, and mapped valid occupations through the 2025 BLS NEM-to-O*NET crosswalk. Positive records were aggregated; absence remained unknown.

CPS processing. MyTopMatch used person weights and conservative person deduplication across the pooled January 2024–July 2026 Basic Monthly files. Occupation estimates required at least 200 unique respondents. The credential variable used government-issued license status; interpretations remained at the incumbent level.

Opportunity-to-Barrier sensitivity. Each licensing signal was analyzed in its own complete-case subset. The signal’s percentile rank supplied 20% of the sensitivity Barrier score, with 80% from the primary Barrier score. Rank stability was evaluated with Spearman correlation, top-ten overlap, and median absolute rank change.

Requirements-to-Pay sensitivity. Separate employment-weighted linear models predicted log 2025 median annual wage from BLS education, experience, and training ordinals; occupation-family indicators; and one licensing signal. HC3 standard errors were used. Coefficients are associations, not causal effects.

Verification. The frozen package recorded 24 of 24 core-source checksum passes and 36 of 36 transition/licensing checksum passes. The licensing archive passed ZIP integrity testing. For Article 09, MyTopMatch independently checked the audit counts across the frozen JSON and finding record and recalculated both coefficient confidence intervals and percentage transformations. The row-level file was not republished or reprocessed in the publication workspace.

No. The official documentation says state submission and within-state collection may be incomplete. MyTopMatch treats absence as unknown.

No. It measures credentials reported by workers. BLS states that a job-required credential can be required by law or by an employer.

They observe different constructs. CareerOneStop records reported jurisdiction footprints; CPS records incumbent credential prevalence. Keeping them separate makes the limitations visible.

This analysis cannot establish causation. One covered-subset association was positive with a confidence interval above zero; the other was small with a confidence interval crossing zero. Selection and unmeasured occupational differences remain plausible explanations.

The approved language is “opportunity relative to measured formal preparation.” Full access includes licensing, certification, costs, local rules, hiring practices, and other barriers that the current primary index does not completely observe.

After jurisdiction completeness, legal authority, effective dates, occupation scope, burden components, and reuse rights pass documented release gates.

Suggested citation: MyTopMatch Research. (2026). “Why Public Licensing Data Cannot Yet Support a National Career-Access Ranking.” MyTopMatch. https://mytopmatch.com/publications/public-occupational-licensing-data-audit-2026

When reusing findings, identify the work as original analysis by MyTopMatch Research, identify the underlying public data publisher where relevant, and link to this canonical article. Source publishers do not endorse MyTopMatch's calculations or interpretations.

MyTopMatch Occupational Licensing Data Audit LIC-1.0; finding MTM-LIC-S01. CareerOneStop positive-record footprints and CPS incumbent government-license prevalence were analyzed separately. Missing CareerOneStop records were never coded as unlicensed. Row-level licensing data and licensing-derived downloads remain withheld pending rights review. O*NET 31.0 information is used under CC BY 4.0; MyTopMatch modified and combined it, and USDOL/ETA has not approved, endorsed, or tested those modifications. O*NET is a trademark of USDOL/ETA.

The CareerOneStop / Analyst Resource Center occupational-license flat extract, COSFlatExport.zip, dated October 14, 2024.

Current Population Survey Basic Monthly public-use files from January 2024 through July 2026, excluding October 2025 because CPS data were not collected during the federal funding lapse.

The 2025 BLS National Employment Matrix to O*NET crosswalk.

The primary MyTopMatch Opportunity-to-Barrier and Requirements-to-Pay research files.

A state may not submit records.

A submitting state may not report every licensed occupation.

A record may be stale relative to current law.

Several O*NET occupations may map into one broader BLS occupation.

A license can apply to a title, specialty, task, setting, or scope of practice instead of every worker in an occupation.

Reciprocity and interstate compacts can change portability without removing the underlying license.

CPS respondents may report employer-required credentials, legal licenses, or both.

Incumbent prevalence can differ from the requirement facing a new entrant.

The CareerOneStop extract is substantial and useful for identifying reported licensing footprints.

CPS microdata provide a distinct measure of government-license prevalence among incumbent workers.

Licensing assumptions materially affect the top of the Opportunity-to-Barrier ranking within covered subsets.

Current MyTopMatch opportunity research should use “measured formal preparation” and avoid claims of full legal access.

Jurisdiction completeness: every state and DC has a documented reporting status for every occupation in scope.

Legal authority: each requirement links to a statute, regulation, or official licensing-board rule.

Effective dating: records show when a rule took effect, changed, or expired.

Occupation and scope mapping: requirements identify the covered title, tasks, specialties, settings, and exemptions.

Entry-burden components: education, experience, examinations, fees, processing time, renewal, and continuing education are separately recorded.

Rights clearance: source and derived-data reuse terms permit the intended research publication and downloadable tables.

The CareerOneStop source file is dated October 14, 2024; legal rules may have changed.

State submission and within-state collection are incomplete by the publisher’s warning.

Record dates in the acquired extract vary widely.

The NEM-to-O*NET crosswalk can aggregate narrower occupations into broader categories.

CPS responses measure workers and can include employer-required credentials.

The CPS 200-person threshold improves stability while excluding smaller occupations.

The two sensitivity analyses use different complete-case universes.

The 20% licensing share is a prespecified diagnostic assumption, not a validated social valuation of licensing burden.

Rank correlations and top-ten overlap are deterministic sensitivity statistics; they do not have sampling confidence intervals.

The wage models are conditional associations and may retain substantial confounding.

The CareerOneStop flat extract has an UNKNOWN redistribution status in the MyTopMatch rights register. Row-level data and licensing-derived downloads remain internal pending qualified counsel.

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.

VERIFIED: Publicly visible publication returned by the existing publication store allowlist. Reviewed 2026-09-30.

VERIFIED: Indexable article returned by the existing public publication bridge. Reviewed 2026-09-30.