Engineering Manager, Context (Agentic Search)

WHO WE ARE

Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work feels faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.

Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, humanity, and building things that last — not just shipping the next feature, but setting a standard for how modern teams (with humans and agents working together) think and execute.

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 + systems judgment in ambiguous environments; can ma