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Home›Jobs›Strava›Senior Engineering Manager, Applied Machine Learning
Strava

About Strava

The social network for athletes to connect and compete

🏢 Tech👥 501-1000 employees📅 Founded 2009📍 Mission District, San Francisco, CA💰 $151.4m⭐ 3.6
B2CFitnessSocialSaaSCommunity

Key Highlights

  • 125 million+ athletes using the platform
  • Raised $151.4 million in Series F funding
  • Partnership with Oura for wearable fitness integration
  • Offers both free and premium subscription services

Strava, headquartered in the Mission District of San Francisco, CA, is a leading social network for athletes, boasting over 125 million users who track their running and cycling routes. The company offers both free and premium subscription services, and in 2025, it raised $151.4 million in Series F ...

🎁 Benefits

Strava provides competitive base salaries and stock options, along with 100% company-paid benefits for employees and their families. Employees enjoy f...

🌟 Culture

Strava fosters a vibrant community of athletes by encouraging engagement through weekly team workouts, including for remote employees. The company val...

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Strava

Senior Engineering Manager, Applied Machine Learning

Strava • San Francisco, CA

Posted 3w ago🏢 HybridSeniorEngineering manager📍 San francisco
Apply Now →

Skills & Technologies

Machine learningAIPython

Overview

Strava is seeking a Senior Engineering Manager to lead their Applied AI and Machine Learning team. You'll manage a team of ML engineers to build and optimize machine learning models that enhance user experiences. This role requires strong expertise in AI and Python.

Job Description

Who you are

You have 5+ years of experience in engineering management, particularly in machine learning and AI. You possess a deep understanding of machine learning models and their application in consumer products, ideally in the fitness or health domain. Your leadership style emphasizes mentorship and team growth, and you have a proven track record of managing high-impact teams. You are comfortable with technical strategy and can balance innovation with product impact. You thrive in collaborative environments and are skilled at cross-functional communication, ensuring alignment between engineering, product, and design teams.

Desirable

Experience with large-scale machine learning systems and familiarity with cloud platforms such as AWS or GCP would be advantageous. A background in fitness technology or consumer applications is a plus, as is experience in agile methodologies.

What you'll do

In this role, you will lead the Applied AI and Machine Learning team at Strava, responsible for developing and deploying machine learning models that enhance user experiences. You will roadmap and drive the technical strategy for AI initiatives across multiple product verticals, ensuring that your team delivers impactful solutions at scale. You will work closely with product managers and designers to launch and optimize features that engage millions of users. Your responsibilities will include mentoring your team, conducting performance reviews, and fostering a culture of innovation and collaboration. You will also be involved in stakeholder communication, ensuring that the technical direction aligns with business goals.

What we offer

Strava offers a flexible hybrid work model, allowing you to work on-site in our San Francisco office three days a week. You will be part of a mission-driven company that values movement and connection, contributing to a product that motivates millions of athletes worldwide. We provide competitive compensation and benefits, including opportunities for professional development and growth within the organization. Join us in making a positive impact on the lives of active people everywhere.

Interested in this role?

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