Strava jobs

Staff Engineer role on Strava's Product Engineering team, responsible for designing and shipping backend systems for athlete-facing features, acting as tech lead for small pods, and collaborating with product and design teams. Requires 10+ years backend experience, distributed systems expertise, and proficiency in Scala/Go/Python. Hybrid position (3 days/week SF office), $249–$278k/year.

Staff Engineer, Product Engineering (Backend) at Strava, building athlete-facing features on a hybrid model with 3+ days on-site in San Francisco. Requires 10+ years backend engineering (Ruby, Scala, Go, MySQL, Redis, Kafka), tech leadership, and system design. Compensation $249k–$278k; hybrid/on-site requirement is a dealbreaker for this seeker.

Senior Server Engineer II role on Strava's Identity Platform team, building scalable backend services for authentication, authorization, and account security. Requires 7+ years backend engineering experience, proficiency in Ruby/Java/Scala/Python/Go, relational and NoSQL database experience, and distributed systems knowledge. Compensation: $198K–$235K/year. Work model is hybrid with 3+ days/week required in San Francisco office, not fully remote.

Strava is hiring a Senior Server Engineer for their Identity Engineering Team, responsible for building the authentication and authorization platform that secures athlete access across all Strava applications and surfaces. You'll own core identity capabilities including authentication, token management, session handling, MFA/passkeys, and account security while designing modern identity protocols like OAuth 2.0, OIDC, and WebAuthn. The role requires 7+ years building production backend systems in languages like Ruby, Java, Go, or Python, with proven experience in authentication, authorization, SSO, or identity systems at scale, plus strong knowledge of distributed systems and databases. This is a platform engineering position (not traditional security/IAM) at Strava, a 180M+ athlete community backed by Sequoia Capital and other top-tier VCs, offering flexible hybrid work with a requirement of three days per week on-site in San Francisco. You'll partner across Product, Security, Mobile/Web Engineering, and other teams while mentoring engineers and shaping long-term identity strategy—a rare opportunity to own identity infrastructure at a consumer-scale company.

Strava is hiring an Engineering Manager for the Data Products team, which sits at the core of the company's AI strategy and is responsible for turning the platform's unique community and activity data into datasets powering user experiences at scale. In this technical management role, you'll lead a growing team of machine learning engineers, data engineers, and data scientists while making hands-on technical contributions to build production ML models and data pipelines that serve tens of millions of athletes. You need at least 2 years of experience managing an AI/ML engineering team with a track record of shipping complex models in production, proficiency with Python and cloud environments (AWS preferred), and experience building and maintaining production data pipelines using tools like Spark, Kafka, or Snowflake. Strava is a well-funded fitness community platform backed by Sequoia, TCV, and other top-tier investors, with a hybrid work model requiring three days per week on-site in San Francisco. The role emphasizes treating data products as actual products with engineering rigor, SLAs, and monitoring—not just shipping pipelines—and requires strong cross-functional collaboration with product and engineering teams across multiple product verticals.

Strava is seeking a Staff AI Engineer to join their GenAI + Discovery Platform team, which is central to the company's AI strategy and responsible for building shared infrastructure that enables product teams to ship AI-powered features at scale. The role sits at the intersection of AI, platform, and backend engineering, owning systems for LLM integration, RAG pipelines, prompt management, vector search, and evaluation frameworks that product teams depend on to build athlete-facing features. You'll need 5+ years building production AI or backend systems, hands-on experience with LLMs in production (agentic workflows, RAG, fine-tuning, evaluation tools), proficiency in search systems and cloud backend development (Python/Go on AWS preferred), and strong technical leadership skills to guide cross-functional teams. Strava is a well-funded fitness platform with 180+ million athletes globally, backed by Sequoia Capital and others, and operates on a hybrid model requiring three days per week in their San Francisco office. The role is high-leverage and end-to-end: you're not just building infrastructure, but enabling product teams to ship AI features faster while ensuring production reliability, correctness, and business impact at scale.

Global Accounts Payable Manager at Strava, based in Dublin, Ireland with hybrid (3 days/week onsite) requirement. Leads global AP/T&E function, invoice processing, vendor management, P2P process transformation, and SOX readiness. Requires 7+ years owning AP function at multinational companies. Finance operations focus, not engineering.

Strava, the fitness social platform with 180+ million athletes, is hiring a GenAI/ML Platform Engineer to join its AI team in San Francisco. You'll own end-to-end platform projects that enable the team to build AI/ML-powered features reliably at scale, including leveraging Strava's unique fitness and geolocation datasets from millions of users. The role requires hands-on experience with generative AI technologies (LangChain, vector stores, evaluation frameworks), MLOps tools (FastAPI, MLflow, Kubeflow, Feast), production ML best practices, and cloud infrastructure at scale (AWS). You'll work across data scientists and engineers as a technical owner, collaborating on personalization, recommendations, and trust & safety features used by tens of millions globally. This is a hybrid role requiring three days per week on-site in San Francisco. The company is well-funded by Sequoia, TCV, and other top-tier VCs, and emphasizes a collaborative, inclusive culture.