At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
We're looking for an Engineering Manager to lead a product engineering team at ClickUp. This is an open team placement role: you'll join a product team based on your strengths and our business priorities, rather than being hired into a single predefined product area. Across teams, the mandate is the same: build a strong team, ship useful product improvements, and take ownership of the quality and reliability of what you deliver. Engineering Managers at ClickUp are hands-on. You'll lead from the front: reading and reviewing code daily, debugging production issues alongside your team, prototyping when it unblocks a decision, and shipping code yourself when the team needs it. Your technical credibility is how you earn trust, set the bar, and make good calls quickly. You'll also own people management, delivery, and team execution. Working closely with product, design, and technical leads, you'll turn customer problems into clear priorities and achievable milestones. You'll develop engineers, make trade-offs explicit, and keep work moving without letting quality or maintainability become someone else's problem. You'll also run an AI-native team. We structure work so AI agents can read it, route it, roll it up, and report on it. Progress and team health should be visible from real signals, with reporting available self-serve rather than dependent on status meetings. We want a manager who has used AI to remove busywork and improve how a team builds, and who can help engineers use it responsibly across planning, implementation, testing, and operations.
Responsibilities
- Lead and develop a product engineering team. Own hiring, onboarding, mentorship, performance, and career growth, and build a team where expectations are clear and feedback is direct.
- Own delivery from planning through release and follow-through. Break work into clear milestones, manage dependencies, surface risks early, and make realistic commitments.
- Set priorities with product, design, and engineering leadership. Connect engineering work to customer needs and business outcomes, and make deliberate trade-offs between new features, reliability, and technical debt.
- Lead from the front technically. Stay close to the codebase: review PRs, dig into production issues, write code and prototypes when it unblocks the team, and know your systems well enough to spot risk before it ships.
- Drive architecture and implementation decisions with your technical leads and senior engineers. Bring real depth to design discussions, challenge assumptions with specifics, and make the call when the team is stuck.
- Run an AI-native team. Use AI tools and agentic workflows to improve planning, development, testing, triage, and reporting, while maintaining clear ownership and human review where it matters.
- Uphold a high engineering bar across design and code review, automated testing, performance, security, and maintainability. Build quality into delivery rather than treating it as a final checkpoint.
- Own the operational health of your team's product area. Establish appropriate monitoring, safe rollout practices, incident response, and on-call ownership, and turn production issues into lasting improvements.
- Collaborate across product teams and shared platform teams to resolve dependencies and deliver coherent customer experiences.
- Keep priorities, progress, risks, and decisions visible. Use evidence to improve team execution and product outcomes, rather than optimizing for activity counts.
Requirements
- 6+ years of professional software engineering experience building production software, including substantial time as a hands-on senior engineer, with 2+ years managing an engineering team.
- You still code. You're comfortable working in a modern production codebase (TypeScript, Node.js, React, or similar), reviewing PRs with substance, and debugging across the stack.
- A track record of delivering customer-facing SaaS products or services, with ownership extending beyond launch to reliability, maintenance, and customer outcomes.
- Experience hiring, coaching, and developing engineers, including giving direct feedback, managing performance, and supporting career growth.
- Deep technical judgment. You can lead architecture discussions, evaluate trade-offs from first-hand experience, and hold a high engineering bar because you know what good looks like in the code.
- Experience partnering closely with product and design to define priorities, scope work, and deliver against clear milestones.
- A demonstrated ability to use AI tools and agentic workflows to improve engineering work and reduce manual coordination, with attention to correctness, security, and review.
- Comfort working through ambiguity, learning unfamiliar product areas, and making decisions with incomplete information.
- Clear communication and effective cross-functional collaboration. You make ownership, trade-offs, risks, and next steps easy to understand.
- Daily fluency with AI tools in your own workflow.
Preferred Qualifications
- Recent, meaningful code contributions as a manager: features, fixes, tooling, or prototypes you shipped yourself.
- Experience managing engineers across frontend and backend, or leading delivery across multiple technical disciplines.
- Experience building and operating software at scale, including performance, reliability, safe migrations, and incident management.
- Experience in a fast-moving product organization, balancing customer-facing delivery with platform improvements and technical debt.
- Experience introducing AI-native or agent-driven workflow
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