Staff Product Manager, Strava
AI/ML
$250-270k
+ Equity
3 days a week in office (Strava, SF)
Social network for tracking run and cycle routes
Be an early applicant
Social network for tracking run and cycle routes
501-1000 employees
Be an early applicant
$250-270k
+ Equity
3 days a week in office (Strava, SF)
501-1000 employees
Company mission
To create the most committed, close, and engaged athlete community on the internet.
Role
Who you are
- Substantial product management experience, including meaningful time shipping ML-powered products such as ranking, recommendations, personalization, search, or feeds at scale
- Deep fluency in modern ML and generative AI — enough to engage substantively with engineers and data scientists on models, evaluation, and data pipelines, and to make sound product trade-offs
- A track record of owning domain-level strategy end-to-end, not just executing within a defined roadmap
- Strong experimentation and measurement instincts, with demonstrated ability to use data to drive measurable improvements in relevance and engagement
- The ability to align and influence senior stakeholders across functions without authority, and to bring clarity to complex, ambiguous problem spaces
- A low-ego, partnership-oriented approach to working with technical and design partners
- Experience productizing emerging or research-stage capabilities into reliable, user-facing features is a plus
What the job involves
- Strava's AI/ML team builds the intelligence that shapes what each athlete sees and experiences — from ranking and recommendations to the next generation of generative AI features across the app. As we deepen our investment in AI-powered products, we're looking for a Staff PM to own the strategy for ranking, recommendations, and personalization: a high-impact surface with significant value to unlock and no current product owner
- In this role, you'll define the product vision for personalization across Strava's core experiences, partner deeply with ML engineering and data science to turn model capabilities into products athletes love, and contribute to Strava's broader generative AI strategy. You'll operate with a high degree of autonomy, set direction for a domain, and work across Product, Engineering, and Design to bring the most important bets to life
- Define and own the domain strategy and roadmap for ranking, recommendations, and personalization across Strava's core athlete experiences
- Identify and prioritize high-value GenAI and ML product opportunities across the app, and build a pipeline of bets that connect to company-level priorities
- Partner closely with ML engineering and data science to translate model capabilities, evaluation criteria, and technical trade-offs into clear, shippable product decisions
- Build and drive experimentation and measurement frameworks that demonstrably improve relevance, engagement, and athlete outcomes
- Align stakeholders across Product, Engineering, and Design on strategy and priorities, resolving ambiguity and keeping complex initiatives moving
- Contribute to the broader AI/ML product strategy, including identifying where generative AI can meaningfully improve the athlete experience across Strava's surfaces
Our take
Strava has created an online network where runners, swimmers and cyclists can record fitness activities, and compare and compete with their community. It offers both a free and premium subscription service with added features. The company also partners with local councils and urban planners who purchase valuable journey data from Strava which can be used to map out cities and develop safer cycle paths.
The platform helps members discover and plan workouts, as well as offering a leaderboard which is updated using GPS as users compete for the top spot on particular fitness segments.
With over 125 million athletes and growing, Strava released several new product rollouts in 2024, including an AI-enabled leaderboard. A partnership with the wearable fitness tracker Oura will mean Strava software is available on wearables, taking the company into fresh competition with the likes of Peloton and Apple. In 2025, the company secured new funding in a round led by Sequoia Capital, growing its value to $2.2 billion.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-6% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Nov 2020
$110m
SERIES F
Oct 2014
$18m
LATE VC
Total funding: $151.4m
Company benefits
- Competitive base salary & stock options
- 100% company paid benefits for employees and families
- Flexible paid time off
- $2,000 annual professional development stipend
- Paid time off for volunteering
- 401(k) plan - with company matching
- $1000 annual gear stipend
- $500 annual gym or coaching reimbursement
- On-site fitness rooms with showers, lockers, and towel service
- Weekly team workouts – including remote employees
- Safe and secure bike storage on-site
- Weekly all hands meetings
- Employee resource groups
- Anti-racism nonprofit company matching program
- Free lunch on Wednesdays on-site
- Regular team happy hours
- Team offsites and company retreats
- Cell phone reimbursement
- Generous industry discounts on gear and activities
- Race entries to events we sponsor
- Snacks and stocked kitchens on-site
- Strava gear
Company HQ
Mission District, San Francisco, CA
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