Engineering Manager, Context (Agentic Search)

About the role

We’re hiring an Engineering Manager to lead the Context team, which focuses on systems and product primitives that give Notion’s users and agents access to all the relevant context for the task at hand. This includes search ranking algorithms and surfaces, as well as agent workflows.

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.

Requirements

• 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.
• 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.

Qualifications

• 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.