Staff Product Manger

Key Responsibilities

• Define and own a cross-functional problem space or a foundational platform area whose quality shapes outcomes across multiple product surfaces.
• Drive strategic alignment across product areas. Identify the decisions that unblock the most work and make them.
• Synthesize signals from customer calls, data, support trends, and partner feedback across your entire scope, not just your immediate surface.
• Prototype cross-cutting workflows and concepts yourself. The strategy is more credible when you have already tested it.
• Identify leverage and share it. Build AI workflows, frameworks, and patterns that other PMs on the team can adopt.
• Mentor and stretch Senior PMs. Raise the floor of the function, not just your own output.
• Represent the product voice in senior leadership conversations and contribute to decisions that span multiple teams.
• Contribute to how the PM function operates, including how we run discovery, define quality, and measure success.

Qualifications

• 6-8+ years in product management, with a clear record of operating across multiple product areas or owning a foundational platform.
• Demonstrated ability to drive cross-functional alignment without authority, across engineering, design, data, and GTM.
• Systems thinker. You see second-order effects and account for them before they become problems.
• Able to hold strategy and execution at the same time. You do not hand off the detail when the scope gets bigger.
• Track record of mentoring and elevating other PMs, not just shipping your own work.
• Strong data instincts. You can pull your own analysis, define the right metrics, and spot when a number is telling the wrong story.
• Experienced with AI tooling and actively finding new ways to scale your own coverage through it.
• Proven communicator at the executive level. You can frame a complex problem crisply and land a recommendation with senior stakeholders.

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.