Engineering Manager, Context (Agentic Search)

ABOUT US:

Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.

In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.


ABOUT THE ROLE:

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.

- We must have a production-grade search product (stability, extensibility, latency, cost). We must ensure search—still a core navigational endpoint—can reliably serve our 100M+ customers.

- At the same time, the “agent layer” (how agents interact with search) now accounts for the majority of AI-enabled search traffic (50%+), and is where we expect the fastest iteration and biggest user-facing gains.


WHAT YOU'LL ACHIEVE:

- 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.


WHAT YOU’LL OWN

- Direction and execution for Context as both a product and a platform.

- Agentic retrieval approaches that treat “finding” as a sequence of actions (tool use, query generation, iterative retrieval), not a single ranked list.

- A durable measurement loop: evaluation frameworks, instrumentation, and experimentation practices to improve functional correctness and user-perceived usefulness.

- Team health and talent: hiring, coaching, feedback, growth, and performance management.


SKILLS YOU'LL NEED TO BRING:

- Experience leading engineering teams working on search/retrieval/relevance, AI product, or adjacent platform problems.

- Experience building agentic or tool-using systems

- Strong product +