About the job
We’re hiring an Engineering Manager to lead Context: the team responsible for the systems and product primitives that give notion’s users and notion agents access to all the relevant context for the task at hand. This includes classic search ranking algorithms and surfaces, but also agentic trajectories with carefully crafted tool calls. You’ll lead a team that focuses on two types of work: reliability of the current context systems and unlocking new contextual capabilities.
Responsibilities
Build and lead a high-performing team responsible for context, memories, and ranking that power agent workflows across Notion.
Drive a roadmap that improves the end-to-end reliability of agents acquiring context across Notion + connectors.
Raise the bar on context quality through evaluation + experimentation, and ship improvements that move core user metrics.
Balance foundational platform work (latency, cost, stability) with rapid iteration on new agentic capabilities.
Partner deeply across AI, product, infra, and partner ecosystems to unblock delivery and set clear ownership boundaries.
Qualifications
Minimum
Experience leading engineering teams working on search/retrieval/relevance, AI product, or adjacent platform problems.
Experience building agentic or tool-using systems
Strong product + systems judgment in ambiguous environments; can make crisp tradeoffs and keep execution moving.
Comfort owning a roadmap that requires heavy cross-team coordination and stakeholder alignment.
Sufficient technical depth in modern retrieval (lexical + semantic, embeddings, reranking) and where LLMs fit (query generation, tool orchestration, evidence selection).
Track record building collaborative, supportive, and high-expectation team cultures.
High tolerance for ambiguity and change; enjoys learning quickly and adapting plans.
Preferred
Experience with multi-source retrieval and permissioned enterprise data.
Experience establishing eval frameworks for AI/agent outcomes.
Experience with classic information retrieval metrics and machine learning techniques.
Has led teams through rapid scope changes and evolving org boundaries.