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Senior/Staff Technical Product Manager - Autonomy Performance & Data
Foster City, CA
·
On-site
·
Full-time
·
5d ago
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.
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About Zoox

Zoox
AcquiredProvide mobility as a service.
501-1,000
Employees
Foster City
Headquarters
Reviews
3.6
4 reviews
Work Life Balance
3.0
Compensation
3.5
Culture
2.5
Career
3.5
Management
2.0
35%
Recommend to a Friend
Pros
Good project ownership opportunities
Competitive compensation compared to peers
Networking opportunities
Cons
Potential retaliation against negative reviews
Company described as 'super shady'
Lack of transparency
Salary Ranges
497 data points
Mid/L4
Mid/L4 · Business Intelligence Engineer
1 reports
$206,034
total / year
Base
$158,642
Stock
-
Bonus
-
$206,034
$206,034
Interview Experience
6 interviews
Difficulty
3.2
/ 5
Duration
14-28 weeks
Offer Rate
50%
Experience
Positive 33%
Neutral 67%
Negative 0%
Interview Process
1
Application Review
2
Online Assessment
3
Technical Screen/Interview
4
Manager/Final Round Interview
5
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Machine Learning/Data Science
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