The opportunity
Notion's Search & Context Platform is the substrate that powers how 100M+ users and, increasingly, Notion's agents find and reason over the right information. This team owns the search infrastructure and indexing systems powering lexical and semantic retrieval, the platform…
What you'll do
Lead a high-performing platform team responsible for search infrastructure: (lexical & semantic), indexing (including streaming & batch data pipelines), retrieval (lexical + semantic + hybrid), and the context/memory primitives that power Notion's agents.
Set a clear roadmap that balances foundational platform investments (latency,: cost, reliability, scalability, freshness, completeness, security, enterprise readiness) with fast iteration on indexing new entities/features and building new context capabilities for agents.
Operate the platform with a high reliability bar: SLOs, deep observability, on-call health, early-warning signals, and prevention-first incident/post-mortem practices and drive measurable improvements to search and context quality, performance, and reliability for Notion's largest customers and o
Partner and build closely with the Search & Context product team, the AI: team, and other consumers of the platform on the right interfaces, capabilities, and commitments.
Staying ahead of the needs of your customer teams by anticipating where the: product is going, investing in capacity, capabilities, and primitives and making sure the platform accelerates product velocity.
Build and lead the team through hiring, coaching, feedback, growth, and: creating an environment where strong technical ICs do their best work.
What they're looking for
- Contribute to Notion's broader engineering practices around platform design,: reliability, on-call, and AI-era infrastructure.
- + years of experience leading engineering teams with a track record of: shipping high-quality systems in a fast-paced environment.
- A technically leaning management style—you stay close to the code and the: design, can credibly debate architecture and tradeoffs with senior ICs, and raise the technical bar of your team.
- Sufficient depth in search, retrieval, or large-scale data/indexing systems :: lexical search (e.g. BM25), semantic search (embeddings, ANN/vector indexes), big data pipelines, hybrid retrieval, ranking, and the surrounding infrastructure.
