London Product Management: Product Strategy, Stakeholder Management, Agile Lead 355 Roles -- January 2026
BetaLondon's product management market in January 2026 featured 355 direct-hire roles across 269 employers, with fintech leading industry demand at 32% and a 97% flexibility rate among tracked roles. Senior positions made up 58% of openings, while AI/ML product management gained share month-over-month.
This report analyzes 355 Product Management job postings from 267+ 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
Compensation data excluded due to low disclosure rates in markets without pay transparency legislation.
Employers Hiring for Product Management Roles
Biggest Gainer
JPMorgan Chase
+1pp
New This Month
Wise, Rightmove, Ebury
Market interpretation: Wise leads among tracked employers with 13 open product roles, followed by JPMorganChase at 12. Rightmove appears under two listings (Rightmovecareers with 9 and Rightmove Careers with 3) for a combined 12 roles, making it effectively tied for second. Ebury contributes 9 roles, and MagicSchool rounds out the top 5 with 5. Wise, Rightmovecareers, and Ebury are all new entrants compared to December 2025. The top 5 hold just 14% of total postings, and the market averages 1.32 jobs per employer, indicating a fragmented landscape where no single company exerts outsized influence on product hiring. Note that S Merrick Ltd (3 roles) may be a small consultancy, so its listings could represent contract or embedded product positions rather than permanent direct-hire roles.
Industry Distribution
44% of roles with industry data
Biggest Gainer
Fintech
+9pp
Biggest Decline
Productivity Software
-3pp
Based on 44% of roles with industry data among tracked employers, fintech leads London product hiring at 32%, followed by financial services at 14%. Together, finance-adjacent sectors likely account for nearly half of classified demand. This concentration is consistent with projections of a 37% year-over-year rise in London fintech hiring, which may account for 70% of UK fintech roles (Morgan McKinley, January 2026). Fintech gained 9 percentage points from December 2025, based on a single month's movement, while productivity software declined 3 percentage points. PropTech (6%), AI and ML (5%), and data infrastructure (4%) round out the top sectors, suggesting product demand is also distributed across emerging technology verticals.
Role Specialization
Biggest Gainer
ai_ml_pm
+3pp
Biggest Decline
technical_pm
-4pp
Core product management accounts for 67% of tracked roles, confirming that generalist PM positions remain the backbone of London's product market. Technical PM (12%) and AI/ML PM (10%) together make up roughly one-fifth of roles, suggesting a meaningful layer of demand for product managers with deeper technical or domain-specific expertise. Platform PM (8%) and growth PM (3%) fill out the remaining specializations. Month-over-month, AI/ML PM gained 3 percentage points while technical PM declined 4 percentage points, based on a single month's movement -- this may indicate some reallocation of demand toward AI-focused product work, though one month is insufficient to confirm a lasting shift.
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
Junior
+6pp
Biggest Decline
Mid-Level
-5pp
Senior-to-Junior Ratio
9:1
Senior+ roles per Junior role
Entry Accessibility Rate
24%
Junior + Mid-Level roles combined
Senior roles make up 58% of tracked positions, producing a 9:1 senior-to-junior ratio. Mid-level (15%), Director+ (10%), Junior (9%), and Staff/Principal (8%) fill out the distribution. Entry accessibility at 24% (junior and mid-level combined) suggests the market is competitive but not closed to earlier-career candidates. Junior roles gained 6 percentage points from December 2025 while mid-level declined 5 percentage points, based on a single month's movement -- this may reflect seasonal hiring patterns or a shift in employer targeting rather than a sustained change. The UK digital skills gap (LSE, 2026) may also be pushing some employers to open junior pipelines and invest in developing less experienced hires.
Company Maturity
37% of roles with company age data
Among the 37% of tracked roles with company age data, growth-stage companies (6-15 years) lead at 50%, followed closely by mature firms (over 15 years) at 41%. Young companies (5 years or under) account for just 9%. This distribution likely reflects London's product market as one where established and scaling businesses generate the bulk of hiring activity, while early-stage startups contribute a smaller but still present share of demand.
Ownership Type
41% of roles with ownership data
Among the 41% of tracked roles with ownership data, private and public companies each account for 45% of product roles, with subsidiaries at 10%. This even split between private and public employers suggests that product management demand in London spans both venture-backed or privately held firms and publicly traded enterprises, offering candidates a range of organizational environments from high-growth startups to established corporate structures.
Employer Size Distribution
37% of roles with company size data
Among the 37% of tracked roles with company size data, scale-ups (50-1,000 employees) lead at 47%, closely followed by enterprises (1,000+) at 44%. Startups under 50 employees account for 9%. The near-parity between scale-ups and enterprises likely reflects London's position as both a scale-up hub and a major centre for large financial and technology firms. Candidates may find that scale-ups offer broader product ownership, while enterprises tend to provide more specialized roles and structured career paths.
Working Arrangement
Onsite: office full-time | Hybrid: mix of office and remote | Remote: work from anywhere | Flexible: employee chooses arrangement
100% of roles with known working arrangement
Among 76 ATS-sourced roles with full job descriptions, hybrid (42%) is the most common arrangement, followed by flexible (30%) and remote (25%). Only 3% of roles require full onsite attendance, yielding a 97% flexibility rate. This is consistent with UK-wide survey data showing 28% of employees working hybrid and 85% of companies offering hybrid options (Advent Communications, 2026). The upcoming UK Employment Rights Bill, effective April 2026, strengthens the right to request flexible working from day one of employment (UK Parliament, 2026), which may further entrench these patterns. Note that this analysis is based on ATS-sourced roles only, as Adzuna listings have truncated descriptions that do not reliably capture working arrangement details.
Skills Demand
39% of roles with skills data
Skills insight: Based on 39% of roles with skills data (138 roles) among tracked employers, stakeholder management and product strategy tie for the most-requested skills at 21% each, followed by agile at 19%. The presence of data analysis (16%), SQL (16%), and Python (11%) in the top ten indicates a growing technical baseline expected of London product managers. AI appears in 14% of roles, consistent with the month-over-month rise in AI/ML PM specializations. Skill pair analysis shows that data analysis plus stakeholder management (12%) and agile plus stakeholder management (11%) are the most common co-occurrences, suggesting employers value candidates who combine analytical rigour with cross-functional communication. The UK digital skills gap (LSE, 2026) may make candidates proficient in both strategic and technical skills particularly sought after.
Market Context
Methodology
This report analyzes direct employer job postings for Product Management roles in London during January 2026.
Data collection:
- 1.Over 300 roles from 269+ employers aggregated from multiple sources
- 2.Recruitment agency postings identified and excluded (5% 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 138 roles with skill data (39% coverage)
- 3.Salary data not included due to low disclosure rates
- 4.Working arrangement based on 76 ATS-sourced roles (Adzuna excluded due to truncated descriptions)
Data coverage:
66%
Seniority coverage
Roles with seniority level classified
100%
Arrangement coverage
Roles with working arrangement known
39%
Skills coverage
Roles with skills extracted from description
57%
Employer metadata
Roles with enriched company data
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