Staff Product Manager, AI/ML

Strava; San Francisco (CA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Strava is seeking a Staff PM to lead the strategy for their AI-powered ranking, recommendations, and personalization features. This role involves defining product vision, collaborating with engineering and design, and working within a flexible hybrid model based in San Francisco.

The ideal candidate will have substantial experience in product management especially with ML-powered products and the ability to influence cross-functional teams. Strong skills in experimentation and stakeholder alignment are crucial for this impactful position.

Qualifications

• Substantial experience in product management, particularly with ML and generative AI.
• Ability to define domain-level strategy and operate autonomously.
• Demonstrated capacity for aligning and influencing stakeholders.

Responsibilities

• Define and own the domain strategy for ranking and recommendations.
• Identify high-value ML product opportunities.
• Collaborate with engineering to develop clear product decisions.

Skills

Product management experience

ML-powered products

Strong experimentation instincts

Stakeholder alignment

Low-ego collaboration

Job description

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 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 will 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.

Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy‑related condition, marital status, height and/or weight.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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