Engineering Manager (Search & Context Platform)

Join Notion as an Engineering Manager for the Search & Context Platform. In this role, you will lead a team of engineers responsible for the search infrastructure, indexing systems, and context/memory primitives that power Notion's agents. You will set the technical direction, manage the platform scope, and make trade-offs to ensure product velocity while maintaining platform sustainability, reliability, and security. You will also partner closely with the Search & Context product team, the AI team, and other consumers of the platform.

• Lead a technically deep group of engineers building platform systems used by multiple product teams, setting the technical direction and product managing the platform scope.
• Set a clear roadmap that balances foundational platform investments with fast iteration on indexing new entities/features and building new context capabilities for agents.
• Build and lead the team through hiring, coaching, feedback, growth, and creating an environment where strong technical individual contributors do their best work.
• Experience working closely with product and AI teams as customers of a platform—you can speak both languages and translate between them
• Experience product managing a platform or infrastructure scope: continuous evaluation technical architecture, SLAs, and a roadmap on behalf of internal customer teams, and making prioritization calls when those customers want different things
• 4+ years of experience leading engineering teams with a track record of shipping high-quality systems in a fast-paced environment
• High tolerance for ambiguity and rapid change; you enjoy operating in a space where both the product surface (agents, AI) and the underlying technology (retrieval, LLMs) are evolving quickly
• 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
• A bias for making hard tradeoffs to unblock product velocity while protecting the long-term health of the platform; comfortable saying "yes, with these constraints" or "no, here's the better path."
• 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
• Strong systems judgment around scalability, performance, security, build vs buy and enterprise readiness—you've shipped systems that had to be fast, cheap, secure, and reliable at scale, not just functional
• Experience building agentic or tool-using systems, or platforms that serve LLM-based products
• Familiarity with permissioned, multi-tenant enterprise data—ACL-aware indexing, retrieval, and audit
• Understanding of classic information retrieval metrics, ranking, or applied ML
• Has led teams through rapid scope and priority changes and evolving org boundaries