Strava
Fitness
StaffAIEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Staff AI Engineer at Strava. Skills: GenAI Platform, LLM, AI capabilities, backend systems. Build for a Well Loved Consumer Product. Build the GenAI + Discovery Platform”
What You'll Achieve.
ship high value GenAI-powered features at scale; make it easy and reliable for all of our product teams to build user facing features on top LLMs; building the core understanding of athletes that enable consistent athlete experiences; provide value to our athletes; enable the new features; build the genAI roadmap; extract actionable insights; improve product decisions; power novel athlete experiences; multiplying the output of the broader team; reducing the AI infrastructure expertise required for CUJ teams to ship GenAI-powered features; align on model selection, evaluation standards, prompt strategies, and consumption patterns; establish best practices for GenAI system development; mentoring teammates at all levels
Industry & Context.
What They're Looking For.
Must Have
5+ years of experience building and operating complex, production AI or backend systems at scale, Demonstrated experience building AI platform tooling or developer-facing infrastructure ideally for LLM or ML systems, Hands-on experience building with large language models in production, Proficiency in search systems, Proficiency in backend service development on cloud environments, Solid understanding of distributed systems and containerized infrastructure, technical leadership, Deep curiosity about the evolving GenAI landscape, communication and collaboration skills
Nice to Have
AWS preferred, using Python, Go
What You'll Do.
Build for a Well Loved Consumer Product
Build the GenAI + Discovery Platform
Enable Teams to Ship AI Features Faster
Own End-to-End AI Capability Delivery
Collaborate Across Engineering
Build from a Rich Dataset
How You'll Work.
Team & Collaboration
Work closely with product engineers, product managers and data teams; Collaborate Across Engineering, and Product; Work closely with engineers and PMs across different verticals; Collaborating Across Disciplines; Working fluidly with ML engineers, data engineers, data scientists, and product managers
Communication Scope
communication and collaboration skills; ability to align cross-functional partners around technical direction; build organizational trust
Process & Methodology
decomposing large technical problems into well-scoped execution across teams, Drive projects from architecture and interface design through production deployment and monitoring
Full Job Description
ABOUT STRAVA Strava is the app for active people. With over 180 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. We are looking for a Staff AI Engineer to join the GenAI + Discovery Platform team at Strava, a team at the core of Strava's AI strategy, responsible for building the shared tooling that enables product teams to ship high value GenAI-powered features at scale. This role sits at the intersection of AI engineering, platform engineering, and server engineering. You will own the systems that make it easy and reliable for all of our product teams to build user facing features on top LLMs at Strava, from shared context, tool management, agent loops, orchestration, data access, search and retrieval to evaluation and ROI frameworks. This is a high-leverage technical role: you're not just building infrastructure, you're building the core understanding of athletes that enable consistent athlete experiences, insight across product surfaces. You'll work closely with product engineers, product managers and data teams to translate cutting-edge AI capabilities into production-ready platforms that facilitate development of AI features that provide value to our athletes. We follow a flexible hybrid model that translates to more than half your time on-site in our San Francisco office — three days per week. WHAT YOU'LL DO: - Build for a Well Loved Consumer Product: Work at the intersection of AI and fitness to launch and optimize product experiences that will be used by tens of millions of active people worldwide. - Bui
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