Engineering Manager, Search

Responsibilities

• Lead and grow the team building the search platform, including indexing, retrieval, ranking, and serving.
• Own the platform strategy and roadmap for Claude's search needs.
• Own search quality through evaluation methodology, relevance measurement, regression detection, and ranking improvements.
• Operate the platform at scale while balancing product traffic with research and training demand.
• Maintain high standards for reliability, latency, and cost.
• Make product decisions about the search experience, prioritize work, sequence launches, and represent search in product discussions.
• Collaborate with product, research, and infrastructure partners; communicate dependencies, risks, and progress.
• Participate in design reviews, incident follow-ups, and technical investigations into relevance changes.
• Recruit, close, and retain strong engineers.

Requirements

• Significant experience managing engineering teams, including hiring and growing teams through rapid change.
• Direct experience building or operating search systems at scale, including indexing, retrieval, ranking, or query serving.
• Technical depth sufficient to review designs, read code, and engage credibly with senior individual contributors.
• Product mindset and comfort making product decisions without dedicated product management support.
• Experience operating high-scale, latency-sensitive production systems with significant reliability requirements.
• Strong cross-functional collaboration and communication skills.
• Experience recruiting and closing senior engineers.
• Interest in AI safety and Anthropic's mission.
• Bachelor's degree or equivalent combination of education, training, and experience.

Nice-to-haves

• Experience with search economics, including index freshness, storage and serving costs, and quality-versus-cost tradeoffs.
• Background in embeddings, ranking models, or machine-learning-based retrieval.
• Experience migrating traffic from a vendor to in-house infrastructure.
• Exposure to LLM products and retrieval demands associated with large-scale training and inference.

Compensation and Benefits

• Annual salary range: $320,000–$405,000 USD.
• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• Office space for collaboration.
• Hybrid policy: staff are expected to work from an office at least 25% of the time, though some roles may require more.