New York Product Management: AI, Stakeholder Management, Data Analysis Lead 644 Roles -- January 2026
BetaNew York's product management market in January 2026 featured 644 direct-employer roles across 293 companies, with a median salary of $195,500 and strong demand for AI skills. The market skewed heavily toward senior and leadership hiring, with a 24:1 senior-to-junior ratio among tracked roles.
This report analyzes 644 Product Management job postings from 290+ companies tracked via direct employer career pages and job board aggregators. Our coverage skews toward tech-forward and scaling companies; large enterprises using enterprise hiring platforms may be underrepresented. Coverage varies by section and is noted throughout.
Key Takeaways for Hiring Managers
Compensation
21% of roles with disclosed salary ranges
Overall Distribution
25th Percentile
$175K
Median
$196K
75th Percentile
$223K
IQR (Spread)
$48K
Advertised Salary by Seniority
Advertised Salary by Role
Employers Hiring for Product Management Roles
Biggest Gainer
JPMorgan Chase
+4pp
New This Month
NBCUniversal, Airwallex, SoFi
Biggest Decline
Stripe
-1pp
Market interpretation: Among tracked employers, JPMorgan Chase leads with 64 combined roles across two entities (37 under JPMorgan Chase and 27 under JPMorgan Chase Bank, N.A.), followed by Capital One (33) and American Express (25). Financial services firms hold four of the top five spots, with Google (21) as the sole tech representative in that tier. New entrants this month include NBC Universal (13), Airwallex (8), and Mastercard (7), which may reflect broadening demand into media, cross-border payments, and card networks. The average of 2.2 jobs per employer and 22% top-5 concentration suggest a moderately distributed market, though large banks exert outsized influence on overall volume.
Industry Distribution
52% of roles with industry data
Biggest Gainer
Consumer Tech
+4pp
Biggest Decline
Data Infrastructure
-3pp
Among the 52% of tracked roles with industry data, financial sectors lead: Fintech (20%) and Financial Services (9%) together account for nearly a third of classified roles, consistent with New York's concentration of financial institutions. Consumer Tech (14%) gained 4 percentage points month-over-month based on a single month's movement, possibly reflecting expanded hiring from media and consumer-facing companies. Healthcare (8%), E-commerce (7%), and Mobility (7%) round out a diversified demand base. Data Infrastructure declined 3 percentage points, which may indicate a temporary pullback or reclassification of roles rather than a sustained shift.
Role Specialization
Biggest Gainer
ai_ml_pm
+6pp
Biggest Decline
technical_pm
-7pp
Core PM remains the majority specialization at 57% of tracked roles, but AI/ML PM has grown to 16%, gaining 6 percentage points month-over-month based on a single month's movement. Technical PM declined 7 percentage points to 11%, which may reflect reclassification toward AI/ML categories rather than a reduction in technical product work. Platform PM (8%) and Growth PM (8%) hold steady shares. The AI/ML PM increase is consistent with AI topping the skills demand chart and likely reflects growing enterprise investment in AI product capabilities, particularly within financial services and tech employers.
Seniority Distribution
Junior: 0-2 years | Mid-Level: 3-5 years | Senior: 6-10 years | Staff/Principal: 11+ years (IC track) | Director+: Management track
Biggest Gainer
Director+
+5pp
Biggest Decline
Senior
-10pp
Senior-to-Junior Ratio
24:1
Senior+ roles per Junior role
Entry Accessibility Rate
17%
Junior + Mid-Level roles combined
Among tracked roles, Senior (44%) and Director+ (25%) levels together account for 69% of postings, yielding a 24:1 senior-to-junior ratio. Staff/Principal roles add another 14%, meaning 83% of tracked postings target experienced professionals. Junior roles at just 3% and Mid-Level at 14% leave entry accessibility at 17%. This pattern is consistent with external data showing senior product hires at multinationals increased by roughly 255% (Product Leadership, 2026). Director+ gained 5 percentage points month-over-month while Senior declined 10 points, based on a single month's movement, which may indicate a temporary upward shift in seniority targeting rather than a sustained rebalancing.
Company Maturity
50% of roles with company age data
Among the 50% of tracked roles with company age data, Growth-stage (6-15 years, 47%) and Mature (over 15 years, 46%) companies account for nearly all classified postings. Young companies (5 years or under) represent just 7%, which likely reflects that established financial institutions and scaled tech firms generate the bulk of NYC product hiring. This distribution may also indicate that early-stage startups tend to hire through less structured channels not fully captured by this dataset.
Ownership Type
50% of roles with ownership data
Among the 50% of tracked roles with ownership data, private companies hold the largest share at 48%, followed by public companies at 39% and subsidiaries at 13%. The near-parity between private and public employers likely reflects NYC's mix of large public financial institutions (JPMorgan Chase, Capital One) alongside well-funded private tech companies. The subsidiary share may stem from entities like JPMorgan Chase Bank N.A. operating as distinct hiring units within larger corporate structures.
Employer Size Distribution
47% of roles with company size data
Among the 47% of tracked roles with company size data, Enterprise employers (1,000+ employees) account for 62% of classified postings, with Scale-ups (50-1,000) at 23% and Startups (under 50) at 14%. The enterprise concentration is consistent with the top employer list, where large financial institutions and big tech companies generate the highest volume of openings. This distribution likely reflects both genuine demand patterns and a data collection bias, as larger companies tend to post on structured ATS platforms that are more easily tracked.
Working Arrangement
Onsite: office full-time | Hybrid: mix of office and remote | Remote: work from anywhere | Flexible: employee chooses arrangement
97% of roles with known working arrangement
Among 194 ATS-sourced roles with 97% coverage, Remote leads at 41%, followed by Hybrid (33%), Flexible (18%), and Onsite (7%). The combined flexibility rate of 92% suggests that location-flexible work has become a near-universal expectation among tracked employers. The high remote share may partly reflect that financial institutions and tech companies with NYC offices are now listing roles as remote-eligible to widen their candidate pools. Only 7% of tracked roles require full onsite presence, indicating that return-to-office mandates have not materially reduced remote product hiring among these employers.
Skills Demand
45% of roles with skills data
Skills insight: Among the 45% of tracked roles with skills data (292 roles), AI leads at 22%, followed by Stakeholder management (20%), SQL (18%), and Data analysis (17%). The top skill pairs -- Product strategy + Stakeholder management (8%) and Data analysis + Roadmapping (7%) -- suggest employers value PMs who can bridge strategic thinking with analytical execution. Technical skills like SQL (18%), APIs (12%), and Python (9%) feature prominently, consistent with the growing expectation that PMs can work directly with data and engineering teams. The Python + SQL co-occurrence (7%) indicates that quantitative fluency is increasingly valued alongside traditional PM competencies.
Market Context
Methodology
This report analyzes direct employer job postings for Product Management roles in New York during January 2026.
Data collection:
- 1.Over 600 roles from 293+ employers aggregated from multiple sources
- 2.Recruitment agency postings identified and excluded (4% of raw data)
- 3.Jobs deduplicated across sources to avoid double-counting
Classification:
- 1.Roles classified using an LLM-powered taxonomy
- 2.Subfamily, seniority, skills, and working arrangement extracted
- 3.Employer metadata enriched from company databases where available
Limitations:
- 1.Not a complete census of the market - some roles may not be captured
- 2.Skills analysis based on 292 roles with skill data (45% coverage)
- 3.Salary data available due to pay transparency law
- 4.Working arrangement based on 194 ATS-sourced roles (Adzuna excluded due to truncated descriptions)
Data coverage:
80%
Seniority coverage
Roles with seniority level classified
97%
Arrangement coverage
Roles with working arrangement known
45%
Skills coverage
Roles with skills extracted from description
58%
Employer metadata
Roles with enriched company data
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