Manager, Engineering - Product

The role

You will lead a product engineering team by managing people, delivery, and technical execution. You will perform hands-on tasks including coding, reviewing PRs, and debugging production issues. The role involves using AI tools to improve team workflows and planning.

What you will do

• Lead and develop a product engineering team through hiring, onboarding, and mentorship.
• Own delivery from planning through release and follow-through.
• Set priorities with product, design, and engineering leadership.
• Lead from the front technically by reviewing PRs and writing code.
• Drive architecture and implementation decisions.
• Run an AI-native team using AI tools and agentic workflows.
• Uphold a high engineering bar for design, code, testing, and security.
• Own the operational health of the team's product area.
• Collaborate across product and platform teams.
• Keep priorities, progress, risks, and decisions visible.

Required qualifications

• 6+ years of professional software engineering experience building production software.
• 2+ years managing an engineering team.
• Ability to code in modern production codebases like TypeScript, Node.js, or React.
• Track record of delivering customer-facing SaaS products or services.
• Experience hiring, coaching, and developing engineers.
• Deep technical judgment for architecture discussions and trade-offs.
• Experience partnering with product and design to define priorities.
• Ability to use AI tools and agentic workflows to improve engineering work.
• Comfort working through ambiguity and making decisions with incomplete information.
• Clear communication and effective cross-functional collaboration.
• Daily fluency with AI tools in your own workflow.

Nice to have

• Recent, meaningful code contributions as a manager
• Experience managing engineers across frontend and backend, or leading delivery across multiple technical disciplines
• Experience building and operating software at scale
• Experience in a fast-moving product organization
• Experience introducing AI-native or agent-driven workflows to an engineering team
• Experience building collaboration, productivity, or workflow software
• Experience leading distributed teams across time zones

Before you apply

• AI fluency is evaluated as part of the hiring process.
• Sponsorship for engineering and product roles is not guaranteed and is based on business needs.

About the company

ClickUp is an AI-native company building a converged AI workspace that unifies tasks, docs, chat, calendar, and enterprise search.