3 months ago
Base Salary
$260k - $280k/yr
Responsibilities
- Set the vision, design, and shared GenAI platform covering LLM and workflow orchestration, prompt management, RAG pipelines, search and retrieval, and evaluation tooling.
- Build self-service interfaces and golden paths that enable product and CUJ engineering teams to ship GenAI-powered features.
- Own AI capability delivery from architecture and interface design through production deployment, monitoring, and operational optimization.
- Ensure platform capabilities meet standards for correctness, latency, reliability, and cost efficiency.
- Develop platform practices including versioning, contracts, SLAs, monitoring, deprecation paths, responsible AI patterns, and operational health.
- Use Strava’s fitness and geospatial datasets to support actionable insights and novel athlete experiences.
- Collaborate with engineers, product managers, ML engineers, data engineers, and data scientists to define and execute the GenAI roadmap.
- Lead technical direction across teams and mentor engineers at multiple levels.
Requirements
- 5+ years of experience building and operating complex production AI or backend systems at scale.
- Experience building AI platform tooling or developer-facing infrastructure for LLM or ML systems, including API design, versioning, and self-service patterns.
- Hands-on production experience with large language models, agentic workflows, prompt and context engineering, RAG architectures, embedding pipelines, fine-tuning workflows, or LLM evaluation frameworks and tools such as LangChain.
- Proficiency with search systems such as Elasticsearch, OpenSearch, and vector search.
- Proficiency in backend service development in cloud environments, preferably AWS, using Python and Go.
- Solid understanding of distributed systems and containerized infrastructure including Kubernetes and Docker.
- Ability to lead multi-team projects, define technical direction, and grow engineers at multiple levels.
- Curiosity about model capabilities, agent frameworks, and multimodal systems, with judgment about applying them to product problems.
- Strong communication and collaboration skills for aligning cross-functional partners around technical direction.
Benefits
- Flexible hybrid work model with more than half of the time onsite in the San Francisco office, including three days per week onsite.
- Benefits information is provided through an external document.
- Inclusive workplace with reasonable accommodations for applicants and employees with disabilities.
Tech Stack
Categories
About Strava
Strava is Swedish for “strive,” which epitomizes who we are and what we do. We’re a passionate and committed team, unified by our mission to connect athletes to what motivates them and help them find their personal best. And with billions of activity uploads from all over the world, we have a humbling and audacious vision: to be the record of the world’s athletic activities and the technology that makes every effort count.