Strava · 3 months ago
Senior Engineering Manager, Applied Machine Learning
San Francisco, CA
Full-time
Onsite
Mid, Senior Level
$260K/yr - $310K/yr
3+ years expStrava is the app for active people with over 150 million athletes globally. They are seeking a Senior Engineering Manager to lead their Applied AI and Machine Learning team, responsible for building and implementing machine learning models that enhance user experiences across various product surfaces.
AppsFitnessInternetMobileSocial NetworkSports
Responsibilities
Build for a Well Loved Consumer Product: Work at the intersection of AI and fitness to launch and optimize product experiences that will be used by tens of millions of active people worldwide
Lead a High-Impact ML Team: Manage, mentor, and grow a team of machine learning engineers to deliver AI-powered experiences to users while fostering a collaborative culture across experience levels
Own End-to-End ML Strategy and Execution: Drive the roadmap for ML systems across Strava's platform, from initial model prototyping to production deployment, scaling, and optimization
Shape AI at Strava: Be a strategic voice in defining Strava's AI vision, leading cross-functional initiatives with Product and Engineering teams to deploy solutions across multiple product surfaces
Drive Innovation in AI for Fitness: Guide your team in designing and developing novel models and methodologies for unique fitness challenges, including recommendation systems, activity prediction, and personalized athlete insights
Building cross-functional partnerships: Develop strong relationships and effectively communicate with many cross-functional partners to identify highest leverage opportunities across product verticals
Championing team culture: Be passionate about developing your people and contributing positively to Strava's inclusive and collaborative culture, fostering an environment where your team can do their best work
Qualification
Required
3+ years of experience managing an AI/ML engineering team, with a proven track record of growing engineers and delivering complex technical projects
Focus on applied ML solutions anchored user problems and business goals
Demonstrated track record of solving complex, ambiguous machine learning problems and broken them down into strategies and tactical execution
Technical Experience building, shipping, and supporting ML models in production at scale for domains like recommendation systems, personalization or user understanding
Interested in production ML model operational excellence and best practices, like automated model retraining, performance monitoring, feature logging, A/B testing, and scalable ML architecture
Excellent communication and collaboration skills, with the ability to influence and align stakeholders across multiple engineering and product teams
Company
Strava
Strava is a social fitness app that tracks running, cycling, and workouts, connecting athletes.
201-500 employees
H1B Sponsorship
Strava has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (14)
2024 (5)
2023 (4)
2022 (6)
2021 (12)
2020 (1)
Funding
Current Stage
Late StageTotal Funding
$151.85MKey Investors
Sequoia CapitalJackson Square VenturesMadrone Capital Partners
2025-05-22Series Unknown
2025-05-22Debt Financing
2020-11-17Series F· $110M
Leadership Team
Michael Martin
CEO & Board Member
Rob Terrell
Chief Technology Officer
Recent News
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