Engineering Manager, Mobile AI
Notion
About the role
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
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.
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.
- Cross-functional leadership: You work well with across different functions to define problems and ship polished outcomes.
- People leadership: You recruit, coach, and grow engineers, build an inclusive team, and communicate clearly through disagreement.
NICE TO HAVES
- You’ve led teams building AI product experiences involving streaming UX, tool use, voice or multimodal input, evaluation loops, or reliability guardrails.
- You’ve managed teams through 0→1 product development or fast iteration on new product surfaces.
- You have experience with mobile platform concerns such as offline resilience, realtime collaboration, rich-text editing, app performance, or release qualit
Underpaid estimate
~₹46.5 LPA for Engineering Managers (industry-wide) · based on 36 submissions