Strava

You'll lead a team of ML engineers, data engineers, and data scientists, turning Strava's unique activity data into **reliable datasets** that power user experiences at scale. You'll balance innovative ML models with product impact, driving **end-to-end strategy** from prototyping to production. This role offers hands-on technical contributions while coaching your team in a hybrid San Francisco environment.

You'll drop into **ambiguous cross-stack problems** at Strava, the app for active people with over 180 million athletes. You'll **drive measurable impact** on critical initiatives in organic growth and subscriber value. This role reports to a Senior Director and acts as a trusted fixer for the riskiest technical challenges.

You'll design and build scalable backend services for Strava's identity platform, the system that secures access for millions of athletes. Your work will shape authentication, authorization, and account security foundations. This role offers **the chance to influence long-term identity strategy** in a collaborative engineering culture.

You'll own **analytics strategy** for retention marketing at **Strava**, the app for active people. Your insights will directly impact how millions of athletes engage with the platform. This role offers a chance to drive data-informed growth in a mission-driven **hybrid team**.

You'll own lifecycle communications for Strava's B2B audiences including ACP, Strava for Business, and Developer Relations. You'll build and scale programs from the ground up, translating audience insights into personalized campaigns. Your work will directly drive **community growth**, **affiliate revenue**, and **product adoption** across Strava's most influential audiences.

You'll lead the Internal Platform team at Strava, setting strategy for developer and application platforms used by all engineers. Your work will directly enable faster, more reliable feature delivery for millions of athletes. This role partners with engineering leaders to drive developer productivity and influence **platform thinking** across the organization.

You'll lead the **AI and automation strategy** for Strava's Customer Experience team, driving **self-service and AI tooling** to improve support quality and efficiency. You'll own the AI roadmap, define metrics, and collaborate cross-functionally to **reduce contact volume** and enhance the athlete experience.

You'll build and maintain the AI/ML platform at Strava, enabling the team to develop sophisticated models and leverage large language models for personalization, recommendations, and trust and safety. Your work will directly impact tens of millions of athletes worldwide, powering **high-quality AI features** at scale. This role offers the chance to shape the **future of AI in fitness**.

You'll build and optimize ML models for Strava's fitness platform, impacting personalization, recommendations, and trust and safety. You'll own end-to-end ML pipelines from prototyping to production, working with a rich dataset from millions of athletes. **Collaborate across teams** to deploy innovative AI solutions that enhance the athlete experience.

You'll lead **security initiatives** like IAM upgrades and compliance readiness, driving end-to-end delivery across Engineering, IT, and Legal. Your work will ensure clear communication and structured execution in a **hybrid team** at Strava, the app for active people. This role offers the chance to shape **scalable security programs** in a fast-paced, impact-driven environment.

You'll lead the Account Management function for Strava's brand partnerships in North America, establishing standards and frameworks that shape the long-term strategy. You'll also manage a portfolio of strategic partners directly, driving revenue growth and retention. This player-coach role has **global scope**, working closely with the EMEA AM lead to ensure consistency across regions.

You'll design and modernize **internal admin tooling** for Strava's support teams, improving productivity and athlete experiences. You'll shape and evolve Strava's **internal platform and developer infrastructure**. This role is part of a **flexible hybrid team** based in San Francisco.

You'll embed **reliability and scalability** into Strava's engineering foundation by optimizing **Kubernetes clusters and cloud infrastructure**. You'll support 150+ million athletes while enabling product teams to ship features with confidence. This role combines building and enabling, creating tools that empower engineers.

You'll lead **end-to-end product design** for **onboarding, activation, and habit-building experiences** on a growing athlete platform. You'll collaborate with product, engineering, data, and research to shape user-centered solutions and drive long-term retention.

You'll **own the backend services** powering Strava's activity data pipeline—from upload ingestion to storage and serving. You'll **design and operate critical production infrastructure** handling millions of uploads. This role offers a **50/50 split** between platform investment and direct product team support.

You'll **build the GenAI + Discovery Platform** at Strava, owning the shared tooling for LLM-powered features. Your work will enable product teams to ship AI features at scale, impacting tens of millions of athletes. This high-leverage role combines AI engineering, platform engineering, and server engineering.

You'll **own Android delivery** for Strava's community surfaces, partnering with PMs, designers, and backend engineers. You'll shape **feature implementation** from planning to launch on an app used by 180M+ athletes. This role offers **real ownership** in a hybrid work environment.

You'll join the Identity Engineering Team to build secure authentication and authorization systems for Strava's 180M+ athletes. You'll design and evolve **identity protocols** like OAuth 2.0 and WebAuthn, ensuring trust and seamless user experience. Your work directly impacts **platform engineering** that spans iOS, Android, and web.

You'll build **machine learning models** for **Strava's fitness platform**, used by over 180 million athletes. You'll own end-to-end ML systems from prototyping to production, driving personalization, recommendations, and trust & safety. This role offers the chance to **innovate with unique fitness and geo datasets**.

You'll shape and evolve Strava's core platform, empowering teams to **move quickly and innovate boldly**. You'll build tools and partner with teams to enable **confident, safe feature delivery** across a polyglot ecosystem. This role offers the opportunity to **impact developer experience** for engineers across the company.

You'll lead **identity platform engineering** at Strava, owning the technical roadmap for authentication, authorization, and account security serving **over 180 million athletes**. You'll balance hands-on coding with technical leadership in a hybrid role based in San Francisco.

You'll lead and grow the **EMEA-based Account Management team** at Strava for Business, directly managing Account Managers while maintaining your own portfolio of strategic partners. You'll drive revenue performance with accountability for retention and expansion outcomes. This player-coach role offers a unique blend of leadership and hands-on client work.

You'll support **brand media measurement planning** and strategy for **Strava's Marketing Analytics team**, working with Brand Marketing, Growth Marketing, and leadership. You'll ensure marketing investments align with brand OKRs through **advanced attribution techniques** like MMM and lift studies.

You'll lead the end-to-end research program for Route Discovery and Navigation, solving a key challenge for the Strava community: finding great places to be active. You'll directly report to the Director of Research and drive **user-centered decisions** that shape product strategy. This role offers the opportunity to **establish the research function in Berlin** and influence the holistic Strava experience.

You'll design and build scalable backend services for Strava's subscription and payments platform, using technologies like Ruby, Java, and Kafka. Your work will directly impact the experience of over 180 million athletes worldwide. You'll **own critical subscription infrastructure** and **collaborate with cross-functional teams** to drive growth.

You'll serve as the go-to legal advisor for Product, Design, Marketing, and Engineering teams at Strava, a global fitness app with over 180 million athletes. You'll help shape the legal foundation for new features, especially those involving **AI, privacy, and sensitive data**, ensuring compliant and user-friendly products. This role stands out for its focus on **AI-forward legal practice** and a hybrid working model based in San Francisco.

You'll set technical direction for Strava's social platform services, acting as tech lead for a small pod. You'll drive **modernization efforts** across critical services and ensure **platform capabilities** align with product roadmaps. This role offers **ownership of technical vision** for systems backing millions of athletes.

You'll lead brand media measurement for a top fitness platform, shaping strategy and ensuring investments align with OKRs. You'll drive cross-functional alignment and deliver data-driven insights to fuel growth. This role offers high visibility and the chance to impact a global community.

You'll be the operational heartbeat of our **Berlin workplace**, ensuring a great day-to-day experience for the team. You'll own the office environment while supporting the **full employee lifecycle** across European locations. This hands-on role sits at the intersection of People and Workplace.

You'll own the full procure-to-pay and T&E lifecycle for **Strava Group** globally, leading a distributed team from Dublin. You will drive the transformation of AP from startup to **SOX-ready infrastructure**, with leadership invested in getting this right.

You'll **build the measurement foundation** for Strava's brand partnerships, designing attribution frameworks and ROI narratives that prove campaign value. Your work will **drive renewals and expansion budgets** by translating data into compelling partner-facing insights. This is a **high-autonomy, builder role** at a fast-growing platform.