Engineering Manager, Search

Anthropic is looking for an Engineering Manager to lead the Search Platform team, building the search stack behind Claude: indexes, retrieval, ranking, and serving infrastructure powering web search across claude.ai, the API, and agentic surfaces. The team owns the problem end to end, including growing the index, improving retrieval quality, and running the serving stack at production scale. The role carries a product dimension, partnering with product, research, and infrastructure teams.

• 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 ranking improvements.
• 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 needed: prioritize search experience needs, sequence launches, and represent search in product discussions.
• Drive cross-team collaboration with product, research, and infrastructure partners.
• Be hands-on where it matters: design reviews, incident follow-ups, and deep dives into relevance changes.
• Recruit, close, and retain strong engineers.

• 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; 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; 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.

Annual salary: $320,000—$405,000 USD.

San Francisco, CA or New York City, NY. Anthropic expects all staff to be in one of its offices at least 25% of the time.

Anthropic does sponsor visas and will make every reasonable effort to get a visa for successful candidates.