Staff Technical Product Manager, Autonomous Workforce

Quick Facts

• Staff Technical Product Manager for an enterprise AI product area (Autonomous Workforce)
• Focus on end-to-end delivery of AI-powered capabilities
• Data-driven roadmap and prioritization

Description

Own end-to-end delivery for an enterprise AI product area, from customer feedback and requirements through launch and iteration. Translate customer needs and research into a data-driven roadmap, and prioritize what to build next using product analytics, usage data, and experimentation. Write clear, structured requirements/specs and collaborate daily with engineering and data science to scope technical tradeoffs and deliver shipped outcomes.

Responsibilities

• End-to-end delivery for an enterprise AI product area, from feedback and requirements through launch and iteration
• Develop and prioritize a roadmap based on customer needs, market intelligence, and usability research
• Use product analytics, usage data, and experimentation to decide what to build and why
• Create structured written artifacts (requirements, product specs, and prioritization rationale)
• Collaborate daily with engineering and data science to scope tradeoffs, resolve ambiguity, and keep delivery on track
• Maintain cross-functional relationships and communicate clearly to align stakeholders

Requirements

• 8+ years of technical product management experience with hands-on shipping of AI or data-powered products
• Experience leveraging or critically thinking about integrating AI into work processes, decision-making, or problem-solving
• Proven ability to support enterprise customers through pilots, UAT, go-live, stabilization, or escalations
• Strong data sense: defining metrics, analyzing usage data, and using it for prioritization
• Demonstrated ability to write clear, structured requirements/specs/strategy documents
• Proven cross-functional operation with strong stakeholder management, influencing, and negotiation
• Strong verbal and written communication skills
• Ownership and execution track record with specific examples of shipped work and impact
• Technical fluency to engage credibly on engineering feasibility and tradeoffs