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JobsZoox

Manager, Fleet Testing & Repair

Zoox

Manager, Fleet Testing & Repair

Zoox

Foster City, CA

·

On-site

·

Full-time

·

5d ago

As the Manager of Fleet Testing & Repair on Zoox's Base Operations team, you will be responsible for leading the strategic setup and execution of tests on Zoox development vehicles.

You will work closely with Base Operations Leadership and Engineering to drive new operational initiatives, establish key performance indicators, and ensure we stay hyper-focused on roadmap progression for our Zoox Test Fleet and Robotaxi vehicles.

This role involves overseeing testing activities across various vehicle systems, including vehicle performance, crash testing, noise and vibration (NVH), thermal performance, strength, and durability.

An ideal candidate is a change-maker with a strong operational background, a positive attitude, and the ability to remain calm in a rapid-paced environment.

This role requires you to tackle ambiguity head-on and deliver a best-in-class commercial product.

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About Zoox

Zoox

Zoox

Acquired

Provide 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

Junior/L3

Mid/L4

Junior/L3 · Autonomous Vehicle Operator

66 reports

$52,999

total / year

Base

$52,999

Stock

-

Bonus

-

$37,936

$74,044

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