Engineering Manager, Web Infrastructure - Notion

About the Role

The Web Infrastructure team builds the foundations behind Notion’s web clients, including client architecture, performance, reliability, and shared design systems. As Engineering Manager, you will lead the team through the evolution of Notion Clients, set strategy, develop senior engineers and managers, and partner across the organization to improve product speed and reliability.

Note: This role requires working from the San Francisco office on Mondays, Tuesdays, and Thursdays (Anchor Days).

What You'll Achieve

• Team Leadership: Build and manage a diverse, inclusive team of engineers and managers, fostering an environment that embodies Notion's values.
• Development: Recruit, coach, and develop engineers, ensuring regular feedback and professional growth.
• Planning: Facilitate prioritization, sequencing, and staffing of work.
• Quality & Execution: Maintain a high-quality bar for all deliverables and ensure a steady cadence of value delivery.
• Organizational Impact: Shape engineering practices, recruiting strategies, and planning processes.

Skills You'll Need

• Experience managing senior engineering teams and managers, including scaling teams.
• Commitment to building diverse and inclusive teams.
• Ability to create collaborative, empowering, and challenging environments.
• Deep background in product and technology to balance trade-offs and ask the right questions.
• Rigorous thinking and high tolerance for ambiguity and organizational change.
• Empathetic and direct communication style.

Nice to Haves

• Experience managing engineering teams at startups during rapid growth.
• Experience rolling out engineering/management practices (code review, performance reviews, levels/ladders).
• Experience managing distributed teams across multiple offices.
• Familiarity with computing pioneers (e.g., Ada Lovelace, Douglas Engelbart, Alan Kay).

A Note on AI

We expect every Notino to be intellectually curious and excited to use AI as a collaborator. While deep AI expertise is not required for every role, we value those who use AI to think better and make work easier for others.