Engineering Manager, Search

About the role\n\nAnthropic is looking for an Engineering Manager to lead the Search Platform team. This team builds the search stack behind Claude: the indexes, retrieval and ranking systems and serving infrastructure that power web search across Claude.ai, the API and agentic surfaces.\n\nSearch is core to how Claude answers questions about the world, and the team owns both the problem and the solution end to end: growing the index, improving retrieval quality and running the serving stack at production scale. The same platform also serves research workloads, so demand comes from multiple user surfaces, often at the same time.\n\nWe're looking for someone with real search experience who can be hands-on when needed: reviewing designs, digging into relevance regressions and holding their own in technical debates.\n\n### Key Responsibilities\n- Lead and grow the team of engineers building Anthropic's search platform: indexing, retrieval, ranking and serving\n- Own the strategy and roadmap for the platform and how Claude's search needs are met over time\n- Own search quality: evaluation methodology, relevance measurement, regression detection and the ranking improvements they drive\n- Operate the platform at scale, balancing product traffic against research and training demand while holding a high bar on reliability, latency and cost\n- Wear the product hat when the work calls for it: prioritize what the search experience needs, sequence launches and represent search in product discussions\n- Drive cross-team collaboration with product, research and infrastructure partners; articulate dependencies, risks and progress clearly\n- Be hands-on where it matters: design reviews, incident follow-ups and the occasional deep dive into why relevance moved\n- Recruit, close and retain strong engineers in a competitive market\n\n### Minimum Qualifications\n- Significant experience managing engineering teams, including hiring and growing a team through rapid change\n- Direct experience building or operating search systems at scale: indexing, retrieval, ranking or query serving\n- Enough technical depth to be hands-on when needed; you can review designs, read code and engage credibly with senior ICs\n- A product mindset and comfort making product calls when there isn't a PM in the room\n- A track record of running high-scale, latency-sensitive production systems with real reliability requirements\n- Strong cross-functional skills; you can align product, research and infrastructure partners with different priorities\n- Experience recruiting and closing senior engineers\n- Interest in AI safety and Anthropic's mission\n\n### Preferred Qualifications \n- Experience with the economics of search: index freshness, storage and serving costs, quality vs cost tradeoffs\n- Background in embeddings, ranking models or ML-based retrieval\n- Experience migrating traffic off a vendor onto in-house infrastructure\n- Exposure to LLM products and the retrieval demands of large-scale training and inference\n\n