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Staff Product Manager, AI/ML

StravaStrava SFProduct
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Salary
$250K - $270K USD
Job type
Full-time
Work mode
Remote
Posted
23 Jun 2026
Status
Open · checked 7d ago

About this role

Role Overview

Strava is seeking a Staff Product Manager, AI/ML to drive the strategy and execution of ranking, recommendations, and personalization features across the platform. This full-time position operates on a flexible hybrid model requiring three days per week on-site in the San Francisco office, making it an ideal opportunity for an experienced product leader passionate about active lifestyles and artificial intelligence.

Key Responsibilities

Formulate and lead the domain strategy and roadmap for ranking, personalization, and recommendations across core athlete touchpoints.
Discover and prioritize high-value generative AI and machine learning product opportunities that align with broader business objectives.
Collaborate closely with data science and machine learning engineering teams to transform technical capabilities and model metrics into shippable features.
Design and execute rigorous measurement and experimentation frameworks to boost engagement, relevance, and user outcomes.
Guide cross-functional teams spanning Product, Engineering, and Design to maintain momentum and resolve ambiguity in complex initiatives.
Support the wider AI/ML product vision by exploring how generative AI can enhance user experiences throughout the application surfaces.

Requirements

Extensive product management background with demonstrable experience launching machine learning features like feeds, search, personalization, recommendations, or ranking at scale.
Deep understanding of modern generative AI and machine learning, enabling effective technical discussions regarding models, data pipelines, and evaluation trade-offs.
Proven history of establishing and owning end-to-end domain strategy rather than solely following pre-defined roadmaps.
Exceptional experimentation and analytical instincts to leverage data for driving tangible improvements in relevance and platform interaction.
Strong stakeholder management skills to influence cross-functional teams without direct authority and bring structure to ambiguous environments.
Collaborative, partnership-focused mindset with a low-ego approach when working alongside technical and design collaborators.

Nice to Have

Background in taking emerging technologies or research-stage capabilities and productizing them into dependable features for end users.

Skills and Tools

Machine learning models and evaluation
Generative AI productization
Ranking, recommendations, and personalization systems
Data pipelines and analytics
Experimentation and measurement frameworks
Cross-functional product leadership

Salary and Benefits

Annual base salary range of $250,000 to $270,000 USD.
Comprehensive benefits package accessible via the provided company documentation link.

About the Company

Strava is the digital home for active people, connecting a global community of over 200 million athletes across more than 185 countries. Supported by investors such as Sequoia Capital, TCV, Madrone Partners, and Jackson Square Ventures, the company strives to motivate individuals to lead their best active lives. Strava operates as an equal opportunity employer committed to cultivating an inclusive, welcoming workplace that reflects its diverse community of athletes.

How to Apply

Interested candidates should submit their application directly on the official Strava careers website.

Questions candidates ask

What is the salary range for this position?

The annual salary for the Staff Product Manager, AI/ML role ranges from $250,000 to $270,000 USD.

Is this a remote position?

This role follows a flexible hybrid schedule, requiring team members to work on-site in the San Francisco office for three days per week.

What department does this role belong to?

This position is part of the Product department, specifically working within Strava's AI/ML team.

What are the primary focus areas for this role?

The product manager will own the strategy for ranking, recommendations, personalization, and integrating generative AI features across core athlete experiences.

How can I apply for this job?

Candidates can apply by visiting the official Strava company careers page.

Ready to apply?

The application is on the official Strava careers page.

Apply on company site