Manager, Technical Product Management – Autonomy Integration

Zoox has completed its transition from research and development to an operational business: we now run a public-facing, commercial robotaxi service, with paying riders on the road and new cities coming online. The autonomy software system — the "driver" — is broken down into a portfolio of driving behavior clusters, each owned by a Technical Product Manager who is the accountable owner of that cluster's readiness for live commercial service, not just for an internal milestone.

You will lead a team of 4–5 Senior and Staff-level Technical Product Managers who each own one or more driving behavior clusters. You will hire, coach, and grow this team while owning the portfolio-level view of readiness, risk, and roadmap health across every cluster they manage. This is a high-visibility role that sits at the intersection of autonomy software engineering, product, metrics, safety, and user research, and is critical to scaling our commercial autonomous driving service into new cities and driving domains.

• 8+ years of technical product management experience, ideally in autonomy, robotics, computer vision, or other safety-critical/complex software domains, including 3+ years directly managing a team of 4 or more technical product managers.
• Demonstrated track record of hiring, coaching, and performance management, including growing individual contributors into more senior roles.
• Strategy and leadership skills; proven ability to collaborate with internal partners and users to solve complex cross-functional problems and use influence to generate great outcomes.
• Established skills in distilling ambiguous problem spaces into compelling product visions and translating them into team-level frameworks.
• Technical background (degree in a technical field or equivalent practical experience) with enough depth to engage in architecture and trade-off discussions across perception, planning/controls, or comparable technical domains.

• Experience developing robotics products or autonomous vehicle software.
• Background in computer vision, perception, or ML-driven systems.
• Experience building or scaling a product management function through a research-to-commercial-launch transition.
• Experience in another regulated or safety-critical industry (e.g., aerospace, medical devices, industrial automation) outside of autonomous vehicles.