Forward Deployed Engineer, Manager -London

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is 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, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature.

Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.

About the Role

As a Manager of Forward Deployed Engineering on Notion’s Services team, you will lead a team responsible for the hands-on technical delivery of our most complex customer engagements.

Your team will design, build, and deploy production-ready solutions that help enterprise customers integrate Notion as the operating layer for their business. You will combine people leadership, technical judgment, and customer-facing delivery.

You will coach Forward Deployed Engineers through discovery, architecture, implementation, and launch while remaining close enough to the work to guide difficult technical decisions, unblock delivery, and build trust with senior customer stakeholders.

The team’s work includes custom code, production-grade agents and AI workflows using MCP, Agent APIs, and Notion’s automation and execution infrastructure, as well as integrations, data pipelines, enterprise migrations, and complex challenges involving scale, permissions, and governance.

You will help establish how Services delivers complex technical implementations across EMEA. This includes building a high-performing team, improving delivery standard