Strava is a digital platform and social network that connects millions of runners, cyclists, hikers, walkers, and other active people around the world through a mobile app and website. The company builds tools that allow users to track their physical activities using mobile phones or GPS devices, analyze performance metrics such as speed, pace, distance, and relative effort, and share their athletic progress with friends and communities. Strava serves over 200 million athletes across more than 185 countries, supporting a wide range of sports including skiing, yoga, rock climbing, and kayaking.
About Strava
Strava is a digital platform and social network that connects millions of runners, cyclists, hikers, walkers, and other active people around the world through a mobile app and website. The company builds tools that allow users to track their physical activities using mobile phones or GPS devices, analyze performance metrics such as speed, pace, distance, and relative effort, and share their athletic progress with friends and communities. Strava serves over 200 million athletes across more than 185 countries, supporting a wide range of sports including skiing, yoga, rock climbing, and kayaking.
Strava's stated work in artificial intelligence and machine learning involves developing core AI strategies, generative AI platforms, machine learning systems, and data products that power personalization, recommendations, search, trust and safety, and user-facing features built on top large language models. The company's AI and data initiatives focus on turning community and activity data into reliable, reusable datasets, embeddings, ranking artifacts, and workflow orchestration tools that help product teams ship features at scale.
The open roles indicate that Strava is building technical teams across server engineering, data engineering, data science, machine learning, product management, and AI engineering. The company is hiring for senior, lead, and staff-level positions to drive its AI strategy, platform tooling, and data products. These roles are based out of Strava's San Francisco office and follow a flexible hybrid work model requiring employees to be on-site three days per week.
Open AI jobs at Strava

Join Strava in San Francisco as a Senior Server Engineer for Data Products. Build scalable data pipelines and backend systems. Apply now!

Join Strava in San Francisco as a Senior Server Engineer for Data Products. Build scalable data pipelines and backend systems. Apply now!

Apply for the Lead Data Scientist, Inference role at Strava in San Francisco. Shape causal inference strategies with a $240k-$260k salary.

Apply for the Lead Data Scientist, Inference role at Strava in San Francisco. Shape causal inference strategies with a $240k-$260k salary.

Join Strava as a Lead Data Scientist, Data Products in San Francisco. Shape AI strategy, define measurement frameworks, and enjoy a hybrid schedule.

Join Strava as a Lead Data Scientist, Data Products in San Francisco. Shape AI strategy, define measurement frameworks, and enjoy a hybrid schedule.

Join Strava in San Francisco (hybrid remote) as a Staff Product Manager, AI/ML. Lead ranking, recommendations, and personalization strategy.

Join Strava in San Francisco (hybrid remote) as a Staff Product Manager, AI/ML. Lead ranking, recommendations, and personalization strategy.

Join Strava in San Francisco as a Staff AI Engineer. Build core GenAI platforms, work with LLMs, and scale infrastructure with a hybrid schedule.

Join Strava in San Francisco as a Staff AI Engineer. Build core GenAI platforms, work with LLMs, and scale infrastructure with a hybrid schedule.

Join Strava as a Senior Machine Learning Engineer in San Francisco or remote. Build AI systems for millions of athletes. Salary: $198K-$221.5K.

Join Strava as a Senior Machine Learning Engineer in San Francisco or remote. Build AI systems for millions of athletes. Salary: $198K-$221.5K.