Staff Technical Product Manager, Autonomous Workforce

We're looking for a Technical Product Manager to own execution for AI powered product experiences within a fast-moving, AI-driven organization. This is a hands-on role: you'll translate strategy into shipped outcomes, work daily with engineering and data science to build and iterate on AI-powered capabilities, and use data to drive prioritization decisions. You'll operate in a cross-functional environment where influence, clear communication, and sound judgment matter as much as technical depth. 

This role is for someone with proven, hands-on execution experience enabling and shipping AI products. We're looking for concrete evidence of what you've shipped, how you prioritized features, and how you worked with engineering to solve real technical problems in conversational systems. 

What You'll Own 

• End-to-end delivery for an enterprise AI product area, from customer feedback and requirements through launch and iteration. 
• Roadmap development and prioritization: translating customer needs, market intelligence, and usability research into a clear, data-driven roadmap. 
• Data-driven prioritization: using product analytics, usage data, and experimentation to decide what to build next and why. 
• Clear, structured written artifacts — requirements documents, product specs, and prioritization rationale — that align engineering and cross-functional stakeholders. 
• Day-to-day collaboration with engineering and data science to scope technical tradeoffs, resolve ambiguity, and keep delivery on track. 
• Building and maintaining strong working relationships with cross-functional partners, communicating clearly to align priorities and outcomes. 

Why This Role Matters 

• Direct ownership over a meaningful slice of an AI-powered product, with real accountability for outcomes. 
• Exposure to a fast-scaling AI portfolio and the chance to build execution muscle that compounds into larger scope over time. 
• Work alongside senior product, engineering, and data science partners who will stretch your technical and strategic thinking. 

What Success Looks Like 

• Consistent, on-time delivery against a roadmap you helped shape using data, not assumption. 
• Requirements and specs that engineering can execute with minimal back-and-forth. 
• Strong, trusted working relationships with engineering, data science, and cross-functional partners. 
• Demonstrated ability to independently resolve ambiguity and make sound prioritization calls under time pressure.