Engineering Manager, Mobile AI

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 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

You’ll lead the Mobile AI engineering team, responsible for making Notion AI genuinely useful on phones and tablets. Mobile is where AI needs to work in the moment: when users are capturing ideas, catching up between meetings, asking questions, or trying to move work forward away from their desk.

This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.

WHAT YOU'LL ACHIEVE

- Define and evolve the roadmap for Notion’s core mobile AI surfaces, including chat, capture, agent workflows, workspace Q&A, and lightweight creation flows.

- Take new mobile AI ideas from exploration to shipped product, using prototypes, user feedback, and product data to decide what to build next.

- Improve the production quality of mobile AI by identifying instrumentation gaps, reliability risks, and performance bottlenecks before they become user problems.

- Help the team build the right technical foundations for fast iteration across mobile, web, and server boundaries.

SKILLS YOU'LL NEED TO BRING

- Engineering leadership: You have 2+ years managing engineering teams and have helped teams ship high-quality products at scale.

- Hands-on technical leadership: You stay close enough to the code to guide architecture, performance, reliability, and release-quality decisions — and can make small contributions when it helps the team move faster.

- AI product curiosity: You don’t need to be an AI researcher, but you are hands-on with AI tools and curious about how AI changes product development, engineering workflows, and user expectations.

- Execution through ambiguity: You can turn open-ended product bets into clear strategy, sequencing, staffing, and delivery.