The ad says“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”
The ad says“Engineering leadership: You have 2+ years managing engineering teams and have helped teams ship high-quality products at scale”
The ad says“You have experience with mobile platform concerns such as offline resilience, realtime collaboration, rich-text editing, app performance, or release quality at scale”
The ad says“People leadership: You recruit, coach, and grow engineers, build an inclusive team, and communicate clearly through disagreement”
The ad says“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”
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
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
Preferred experience
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
People leadership: You recruit, coach, and grow engineers, build an inclusive team, and communicate clearly through disagreement
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
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
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 quality at scale
You’ve led teams delivering end-to-end product experiences across mobile, web, and server boundaries