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# Manager, Technical Product Management - Autonomy Integration

- **Company:** Zoox
- **Location:** Foster City, CA, United States
- **Experience:** Experienced
- **Salary:** $231,000.0 - $281,000.0
- **Contract:** Permanent contract
- **Skills:** Computer Vision, Machine Learning, Software Product Management, Software Engineering, Data Analytics, Performance Monitor
- **Published:** October 20, 2026
- **Apply:** https://jobs.lever.co/zoox/4fcf2e08-0703-4246-a8f7-064cc221be3f/apply

## About the Role

* 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.

## Description

* Lead a Team: Hire, manage, mentor, and grow a team of 4-5 Technical Product Managers, fostering a culture of ownership, rigor, and continuous improvement.
 * Develop Strategy: Own the overall strategy and prioritization framework for how driving behavior clusters are defined, broken into sub-clusters, and sequenced against company milestones, and align your team's roadmaps to it.
 * Provide Technical & Product Guidance: Be the escalation point for cross-cluster trade-offs and technical ambiguity, coaching your direct reports through readiness-criteria definition, metrics design, and stakeholder conflicts they can't resolve alone. Hold the bar on safety-critical rigor, ensuring go/no-go release criteria for each cluster are well-reasoned and defensible before they ship to the live fleet.
 * Monitor Performance: Establish and monitor portfolio-level KPIs and readiness metrics across all clusters your team owns, and hold a high bar for how your team defines and tracks their own.
 * Close the Operational Feedback Loop: Ensure your team systematically incorporates rider feedback, field operations observations, and on-road incident learnings from the live service into cluster roadmaps and readiness bars.
 * Manage Resources: Manage cluster assignments and team capacity, rebalancing ownership as the driving behavior cluster map evolves and the business scales.
 * Executive Communication: Translate cross-cluster status, risk, and trade-offs into clear, data-driven updates for autonomy engineering leadership, safety, and company executives.
 * Cross-Functional Partnership: Be a key interface between your team and autonomy software engineering, metrics, safety, and user research leadership to drive two-way collaboration with minimum churn to engineering teams.