Engineering Manager, Search

Anthropic · San Francisco, CA | New York City, NY · AI Research & Engineering · listed August 3, 2026

The shape of it

Seniority
Manager
Where
Hybrid
Stated pay
$320,000 – $405,000 USD
Requirements listed
8
Length
1,410 words

In the posting’s own words

The role carries a product dimension. Search sits close to the user experience and PM coverage is thin at times, so often the EM helps decide what a good search experience looks like, not just how to build it. You'll partner with product teams shipping search-backed features, research teams that depend on retrieval quality and capacity, and the infrastructure teams that run the systems underneath.

What it asks for · 8

  • 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

Also a plus

  • 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

What the job covers

  • 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

Tools and skills named

Models & research
  • Inference2×
  • LLM2×
  • Machine learning2×
Product & design
  • Roadmap2×
  • User experience
Operations & finance
  • Recruiting2×
Ways of working
  • Cross-functional2×

Words the posting leans on

  • search21×
  • product18×
  • experience15×
  • retrieval11×
  • ranking9×
  • infrastructure8×
  • platform8×
  • research8×
  • serving8×
  • cost6×
  • engineers6×
  • quality6×
  • systems6×
  • demand5×
  • designs5×
  • hands-on5×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 24, 2026 and last changed by Anthropic on August 21, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.