Strava

HQ
San Francisco, California, USA
Total Offices: 3
363 Total Employees
Year Founded: 2009

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Jobs at Strava
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Lead Strava's North America team focused on brand sponsorships, driving revenue growth, and developing commercial talent while representing market insights.
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As a Senior iOS Engineer, you will develop new iOS products, enhance existing features, mentor engineers, and collaborate with product and design teams.
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Lead the design strategy at Strava, overseeing a 20+ product design team, partnering with cross-functional teams, and ensuring design excellence in all product development stages.
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Lead complex security programs across multiple teams, ensuring effective communication, risk mitigation, and structured execution from conception to delivery.
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Lead the Data Engineering team to build data pipelines, improve data quality, and ensure data governance while mentoring team members and collaborating with Analytics and Data Science.
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As a Senior Product Marketing Manager at Strava, you will drive product marketing strategies, lead cross-functional initiatives, and build scalable systems for product launches, while focusing on customer needs and market insights.
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As a Senior GL Accountant, you will manage monthly close activities, maintain compliance with US GAAP, and support audits while improving accounting processes.
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As a Senior Vulnerability Management Engineer, you'll manage vulnerabilities, automate processes, and collaborate with teams to enhance Strava's security posture.
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Develop and enhance Strava's machine learning platform, working end-to-end on AI/ML projects, leveraging large datasets, and ensuring operational excellence.
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Manage the technical direction of identity systems at Strava, blending coding and leadership. Oversee authentication and authorization systems for security and user experience across platforms.
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Lead product strategy and execution for Strava's core areas, mentoring teams, driving innovation, and using data to refine user experiences.
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The Engineering Manager will build and lead the Comms and Experimentation Platform team, manage technical delivery, and develop cross-functional relationships.
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Lead the Applied AI and Machine Learning team, managing engineers to develop machine learning models that enhance user experiences, focusing on strategy and execution.