Engineering Manager, Mobile AI

Who We Are

We are Notion, a collaborative AI workspace designed to bring teams and agents together. Our mission is to create a unified platform where all aspects of work—knowledge, projects, meetings, and AI tools—are integrated seamlessly. Millions of users rely on Notion for their daily tasks, from idea capture to project management. Our team, known as Notinos, is dedicated to shaping the future of work in the AI era.

About the Role

You will lead the Mobile AI engineering team, focusing on enhancing Notion’s AI capabilities for mobile devices. Your responsibilities include defining and executing the roadmap for key mobile AI features like chat, capture, agent workflows, workspace Q&A, and lightweight creation flows. You will also ensure these features are reliable and performant, and contribute to the broader technical foundation needed for cross-platform integration.

What You'll Achieve

• Define and evolve the roadmap for Notion’s core mobile AI surfaces.
• Take new mobile AI ideas from concept to production, guided by prototypes, user feedback, and product data.
• Improve the production quality of mobile AI by addressing instrumentation gaps, reliability risks, and performance bottlenecks.
• Help the team build robust technical foundations for rapid iteration across mobile, web, and server boundaries.

Skills You'll Need to Bring

• Engineering leadership: Experience managing teams and shipping high-quality products at scale.
• Hands-on technical leadership: Ability to guide architecture, performance, reliability, and release-quality decisions.
• AI product curiosity: Interest in AI tools and how they impact product development, engineering workflows, and user expectations.
• Execution through ambiguity: Capability to transform open-ended product ideas into clear strategies, staffing plans, and delivery timelines.
• Cross-functional leadership: Effective collaboration across various functions to define problems and deliver polished solutions.
• People leadership: Recruitment, coaching, and growth of engineers, fostering an inclusive team culture, and clear communication.

Nice to Haves

• Led teams building AI product experiences involving streaming UX, tool use, voice or multimodal input, evaluation loops, or reliability guardrails.
• Managed teams through 0→1 product development or fast iteration on new product surfaces.
• Experience with mobile platform concerns such as offline resilience, real-time collaboration, rich-text editing, app performance, or release quality at scale.
• Led teams delivering end-to-end product experiences across mobile, web, and server boundaries.