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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