Engineering Manager, ML and Data Products

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Engineering Manager, ML and Data Products Strava SF, San Francisco, California, United States About Strava Strava is the app for active people. With over 180 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. We are looking for an Engineering Manager to join the Data Products team at Strava, a team at the core of Strava' AI strategy, responsible for turning Strava's unique community and activity data into reliable, reusable, enriched datasets powering user experiences at scale. This is a technical management role leading a growing team of Machine Learning Engineers, Data Engineers and Data Scientists. You'll be responsible for hands-on technical contributions, driving execution and setting technical strategy as well as coaching and growth of your team. You'll balance innovative machine learning models with product impact via iterative development to translate durable, high-quality capabilities into athlete experiences at scale across our many product verticals. We follow a flexible hybrid model that translates to more than half your time on-site in our San Francisco office - three days per week. What You'll Do: - Build for a Well Loved

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