Strava
Staff Product Manager, AI/ML
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Strava SF
Employer listed it 3 months ago · Added yesterday
Been open since 3 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
$250,000 to $270,000
Location
Hybrid · Strava SF
Timezone
Not stated
Contract
Full-time
Experience
Lead
Category
Product
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Strava SF, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Strava SF, Hybrid"
- Listing mentions "Hybrid" and three days per week in the office
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
About Strava
Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey with Strava today.
Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward.
About This Role
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.
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.
We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco office, three days per week.
What You'll Do
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.
What You'll Bring to the Team
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.
For more information on benefits please click here .
Why Join Us?
Requirements
- ·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.
Benefits
- ·Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals.
- ·Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact.
- ·When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Strava, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open product roles with comparable remote rules.
Free to apply, no account needed.
$250,000 to $270,000 · You'll be taken to the employer's careers page.