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Senior/Staff Technical Product Manager - Autonomy Performance & Data

Zoox

Senior/Staff Technical Product Manager - Autonomy Performance & Data

Zoox

Foster City, CA

·

On-site

·

Full-time

·

1mo 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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关于Zoox

Zoox

Zoox

Acquired

Provide mobility as a service.

501-1,000

员工数

Foster City

总部位置

$1.3B

企业估值

评价

3.7

10条评价

工作生活平衡

2.5

薪酬

3.8

企业文化

4.0

职业发展

3.2

管理层

2.8

65%

推荐给朋友

优点

Innovative and cutting-edge technology projects

Supportive and collaborative team environment

Good compensation and benefits

缺点

Fast-paced work environment

Poor work-life balance and long hours

High stress levels and workload

薪资范围

139个数据点

Mid/L4

Mid/L4 · Business Intelligence Engineer

1份报告

$206,034

年薪总额

基本工资

$158,642

股票

-

奖金

-

$206,034

$206,034

面试经验

3次面试

难度

3.0

/ 5

时长

14-28周

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Hiring Manager Interview

5

Final Interview Rounds

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Machine Learning Concepts

Data Analysis