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Description
We design and build the core infrastructure that indexes and serves billions of documents to find and return the best content to users at query time, with high throughput and low latency. This infrastructure underpins LLM powered and agentic search, spanning indexing, semantic and multimodal retrieval, query understanding, model inference, and agentic orchestration. This role's focus is indexing and serving specifically. As the manager of this team, you will set technical direction, grow and develop your team, and partner across quality, infra, and product teams to prioritize what gets built. You will have the opportunity to lead work spanning hundreds of billions of documents, petabytes of data, and real time evaluation pipelines.
Minimum Qualifications
Deep expertise in web scale indexing systems, including distributed document processing, storage, and retrieval Strong coding skills and background in algorithms and data structures 10+ years of experience leading and driving complex, large scale search infrastructure projects Experience managing managers and engineering teams, including hiring, growth, and performance management Track record scaling engineering teams across multiple sites/geographies Strong technical judgment and ability to drive architecture, execution, and cross functional alignment across complex programs spanning multiple teams BS, MS, or Ph.D. in Computer Science or related field
Preferred Qualifications
Experience designing evaluation infrastructure for large scale indexing and retrieval systems Experience with RAG and agentic search scenarios Track record of driving developer velocity and quality improvements across large engineering organizations Familiarity with LLM model inference, and search quality metrics
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