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Senior/Staff Technical Product Manager - Autonomy Performance & Data

zoox

UShybrid$211k-$278k/yrPosted Mar 3, 2026
Posting intelligenceMay be filled, listed long ago

Skills

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About the role

About the Team

The Autonomy Development Platform (ADP) team builds the foundational tools and infrastructure that allow Zoox to define, validate, and scale driving excellence. We empower AI, QA, and Mapping teams to rapidly iterate on the core pillars of our performance: Safety, Progress, and Comfort. Our mission is to transform complex fleet and simulation data into a high-velocity development loop, ensuring every software release is more performant and rider-ready than the last.

The Role

As the Technical Product Manager for Autonomy Performance & Data, you will be the architect of the developer experience for Zoox’s AI engineers. Your goal is to increase AI developer "Quality of Life" and efficiency by ensuring our engineers can get more done with less manual overhead.

You will own the end to end lifecycle of how we measure and curate data. This includes modernizing and unifying our experimentation platforms and building the discovery tools that find "needles in the haystack" across petabytes of sensor data. This is a high impact role that sits at the intersection of Perception, Prediction, and Planning, ensuring that the right code gets merged and our autonomous stack stays ahead of the curve.

Compensation

This Product Manager role pays $211k-$278k/yr. Within typical range for product manager roles in United States.

Questions about this role

Click "Apply with AI Applyd" above and you are done. Your resume is rewritten for this advert, the screening questions are answered, and it is submitted on zoox's own hiring system. No retyping your history, no fourteen tabs, no evening lost.

Compensation for Product Manager roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Product Manager hub for United States medians across recent openings.

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