Senior Product Manager

Key Responsibilities

• Own the vision, roadmap, and delivery for a defined product surface, balancing near-term wins with longer-horizon investments.
• Run continuous discovery. Building and using agents to monitor and synthesize that part of your job.
• Write sharp PRDs and specs that give engineering and design what they need to move fast without ambiguity.
• Define success metrics before you build, track them after you ship, and iterate when outcomes do not match expectations.
• Prototype your own ideas using Cursor, Claude Code, and our Prototype Playground. Show the concept before filing the ticket.
• Collaborate cross-functionally with engineering, design, analytics, and GTM without needing to be managed through the process.
• Present your roadmap and results clearly to stakeholders and leadership, and update them when direction changes.
• Spot friction in how the team operates and suggest concrete improvements.

Qualifications

• 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.

AI Proficiency

• 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.
• Prototype and iterate with AI coding tools. Build functional prototypes independently of design and engineering using tools like Cursor or Claude Code.
• QA your own work. Use browser automation tools to test flows, verify edge cases, and confirm what shipped matches what was specced.
• Stay current and apply it. Familiarity with tools like Claude Code, Cursor, Figma AI, and MCP integrations is expected. Actively experiment and fold new capabilities into your workflow.