Jobs · Engineering · New York

Engineering Manager, Mobile AI

Smrti Lab · New York, NY · 3 days ago
On-siteEngineering$255k–$290k/yrFull-time

Who We Are

We are Notion, a collaborative AI workspace designed to help teams and agents work more efficiently together. With millions of users ranging from individuals to large corporations, Notion aims to provide a unified space for knowledge, projects, meetings, and AI tools. Our team, known as Notinos, works to bring this vision to life, focusing on craftsmanship and the belief that great work is inherently human.

About The Role

You will lead the Mobile AI engineering team, responsible for integrating AI capabilities into Notion’s mobile applications. Your responsibilities include defining and evolving the roadmap for core mobile AI features such as chat, capture, agent workflows, workspace Q&A, and lightweight creation flows. You will ensure these features are reliable and performant, and you will work closely with the team to iterate quickly and deliver high-quality products.

What You'll Achieve

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

Skills You'll Need to Bring

  • Engineering leadership: Experience managing engineering teams and shipping high-quality products at scale.
  • Hands-on technical leadership: Ability to guide architecture, performance, reliability, and release-quality decisions and contribute to code when necessary.
  • AI product curiosity: Interest in AI tools and a willingness to explore 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.
  • People leadership: Skills in recruiting, coaching, and growing engineers, fostering an inclusive team culture, and communicating effectively in challenging situations.

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 rapid iteration on new product surfaces.
  • Experience with mobile platform concerns like 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.

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