Senior Product Manager

ClickUp ClickUp · Enterprise · United States · Product

Product Manager role focused on an AI-powered workspace, emphasizing hands-on building with AI tools, rapid prototyping, and data-driven iteration to enhance productivity for millions of teams.

What you'd actually do

  1. Own the vision, roadmap, and delivery for a defined product surface, balancing near-term wins with longer-horizon investments.
  2. Run continuous discovery. Building and using agents to monitor and synthesize that part of your job.
  3. Write sharp PRDs and specs that give engineering and design what they need to move fast without ambiguity.
  4. Define success metrics before you build, track them after you ship, and iterate when outcomes do not match expectations.
  5. Prototype your own ideas using Cursor, Claude Code, and our Prototype Playground. Show the concept before filing the ticket.

Skills

Required

  • 5 or more years in product management with demonstrated end-to-end ownership of a product area in a B2B SaaS environment.
  • Proven track record of shipping. You have taken features from concept through launch and iterated based on data.
  • Strong prioritization instincts. You know how to say no and can defend it.
  • High customer empathy and the ability to separate what users say from what they actually need.
  • Comfortable with data. You define your own metrics, query dashboards, and make arguments from numbers.
  • Clear written and verbal communicator. Your specs and strategy docs create alignment without requiring a follow-up meeting.
  • Comfortable with ambiguity and a fast pace. You do not wait to be told what to do.
  • Hands-on with AI tools. You already use them and are always looking for new ways to get more out of them.

Nice to have

  • Generate artifacts that accelerate alignment. Leverage AI to draft PRDs, map user flows, validate product launch readiness, synthesize research and customer feedback, produce competitive analyses, and write release notes.
  • Build functional prototypes independently of design and engineering using tools like Cursor or Claude Code.
  • Use browser automation tools to test flows, verify edge cases, and confirm what shipped matches what was specced.
  • Familiarity with tools like Claude Code, Cursor, Figma AI, and MCP integrations is expected. Actively experiment and fold new capabilities into your workflow.

What the JD emphasized

  • build the product, every day, with their own hands
  • time between spotting a problem and having something people can react to is measured in days, not weeks
  • Hands-on with AI tools
  • Prototype and iterate with AI coding tools
  • QA your own work