Engineering Manager, Search
- Salary
- $320,000 - $405,000
- Level
- Lead
- Visa
- Sponsors visas
Not stated in the posting: work type.
Open. First seen 20 September 2026.
About the role
Anthropic's standard text
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic 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.
Search 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.
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.
We'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.
Key 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
Minimum Qualifications
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
Preferred Qualifications
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
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000—$405,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
Anthropic's standard text
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.
We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
Anthropic's standard text
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles.
We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
What this role asks for
64% of this description is written for the role. The rest is Anthropic's standard text, folded away below.
Read against Anthropic's other open postings on this site.
The team: AI Research & Engineering HIRES STEADILY
This role is one of 55 open in AI Research & Engineering. 4 were posted in the last 30 days and the oldest in April: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
LLM (39 of 55), Machine Learning (39 of 55), Python (32 of 55), PyTorch (15 of 55), Kubernetes (12 of 55), Rust (10 of 55), C++ (7 of 55)
OTHER ROLES ON THIS TEAM
- Staff Research Engineer, Multi-Agent Scaling posted Oct 2
- Software Engineer, Sandboxing posted Oct 1
- Research Engineer / Research Scientist, RL Frontiers posted Sep 29
- Research Engineer / Performance Engineer, RL Distributed Systems posted Sep 29
- Software Engineer, Tokens and Prompt Structures posted Sep 16
- Staff Software Engineer, Search posted Sep 11
- Performance Engineer, Inference Engine posted Sep 9
- Product Manager, Claude Science posted Aug 31
- Staff+ Research Engineer, RL Data Platform posted Aug 27
- Staff Software Engineer, Code RL posted Jul 25
- Staff Software Engineer, Environments Infrastructure posted Jul 24
- Machine Learning Infrastructure Engineer, Safeguards Research posted Jul 21
- Research Engineer, Chip Design RL (Reinforcement Learning) posted Jul 13
- Engineering Manager, Research Data Platform posted Jul 7
- Software Engineer, Research Productivity posted Jul 6
- Research Engineer, Life Sciences posted Jul 3
- Research Engineer, Computer Use posted Jun 30
- Research Engineer, RL Scaling Science posted Jun 22
- Research Engineer, Code RL (Reinforcement Learning) posted Jun 11
- Data Operations Manager, Human Data posted Jun 3
- Product Engineer, Computer Use posted Jun 2
- Engineering Manager, Research Productivity posted May 22
- Performance Engineer, Inference Systems posted May 20
- Research Engineer, Post-Training Model Evaluations posted Apr 28
- Research Engineer, Machine Learning (RL Velocity) posted Apr 23
- Research Engineer, Machine Learning (RL Velocity) posted Apr 23
- Full-Stack Software Engineer, Reinforcement Learning posted Apr 14
- Anthropic Fellows Program, ML Systems & Reinforcement Learning posted Apr 10
- Anthropic Fellows Program, AI Safety & Security posted Apr 10
- Research Engineer, Pretraining posted Feb 17
- Research Engineer, Production Model Post-Training posted Feb 12
- Research Engineer, Machine Learning (Reinforcement Learning) posted Feb 11
- Research Engineer, Visual Knowledge Work posted Jan 16
- Research Engineer, Cybersecurity RL (Reinforcement Learning) posted Dec 9
- Software Engineer, Research Tools posted Nov 8
- Research Engineer, Interpretability posted Nov 7
- Pre-training Data Infrastructure Engineer posted Nov 3
- Research Engineer, RL Engineering posted Oct 15
- Research Engineer / Research Scientist, Tokens posted Oct 10
- ML/Research Engineer, Safeguards posted Oct 9
- Research Engineer, Pretraining Scaling - London posted Sep 30
- Research Engineer, Pretraining Scaling posted Sep 30
- Performance Engineer, GPU posted Sep 22
- Research Engineer/Research Scientist, Pre-training posted Jul 18
- Engineering Manager, GPU (ML Accelerator) posted May 29
- TPU Kernel Engineer posted May 22
- Research Engineer, Discovery posted May 14
- Staff Research Engineer, Discovery Team posted Apr 23
- Research Engineer / Scientist, Alignment posted Apr 14
- Research Engineer, Production Model Post-Training posted Apr 1
- Research Engineer, Machine Learning (Reinforcement Learning) posted Apr 1
- [Expression of Interest] Research Engineer / Scientist, Alignment - London posted Mar 31
- Research Engineer, Knowledge Team posted Apr 23
- Performance Engineer posted Apr 22
From the team and dates on Anthropic's own job board.
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