Anthropic is looking for an Engineering Manager to lead the Search Platform team building the search stack behind Claude, including indexing, retrieval, ranking and serving infrastructure that powers web search across claude.ai, the API and agentic surfaces. The role requires managing a high‑performing engineering team, owning strategy and roadmap, ensuring search quality and reliability at production scale, and collaborating cross‑functionally with product, research and infrastructure teams. It combines product and engineering leadership, with hands‑on technical involvement and a focus on building a scalable, reliable, and high‑quality search experience.
Engineering Manager, Search en Anthropic
Híbrido - San Francisco, CA; New York City, NY
Más vacantes en AnthropicSalary
USD 320,000 - 405,000
Requirements
Skills
- Significant experience managing engineering teams, including hiring and growing a team through rapid change
- Direct experience building or operating search systems at scale: indexing, retrieval, ranking or query serving
- Enough technical depth to be hands‑on when needed; you can review designs, read code and engage credibly with senior ICs
- A product mindset and comfort making product calls when there isn't a PM in the room
- A track record of running high‑scale, latency‑sensitive production systems with real reliability requirements
- Strong cross‑functional skills; you can align product, research and infrastructure partners with different priorities
- Experience recruiting and closing senior engineers
- Interest in AI safety and Anthropic's mission
- Experience with the economics of search: index freshness, storage and serving costs, quality vs cost tradeoffs
- Background in embeddings, ranking models or ML‑based retrieval
- Experience migrating traffic off a vendor onto in‑house infrastructure
- Exposure to LLM products and the retrieval demands of large‑scale training and inference
Responsibilities
- Lead and grow the team of engineers building Anthropic's search platform: indexing, retrieval, ranking and serving
- Own the strategy and roadmap for the platform and how Claude's search needs are met over time
- Own search quality: evaluation methodology, relevance measurement, regression detection and the ranking improvements they drive
- Operate the platform at scale, balancing product traffic against research and training demand while holding a high bar on reliability, latency and cost
- Wear the product hat when the work calls for it: prioritize what the search experience needs, sequence launches and represent search in product discussions
- Drive cross‑team collaboration with product, research and infrastructure partners; articulate dependencies, risks and progress clearly
- Be hands‑on where it matters: design reviews, incident follow‑ups and the occasional deep dive into why relevance moved
- Recruit, close and retain strong engineers in a competitive market
Technologies
search platformindexingretrievalrankingquery servingML‑based retrievalembeddingslarge language models (LLM)
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