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JobsZoox

Shift Lead, Mission Readiness & Fleet Response (2nd Shift)

Zoox

Shift Lead, Mission Readiness & Fleet Response (2nd Shift)

Zoox

Las Vegas, NV

·

On-site

·

Full-time

·

1w ago

As the Shift Lead for Mission Readiness & Fleet Response, you are the "on-the-floor" leader responsible for the flawless execution of daily fleet operations. Reporting to the Team Lead, you ensure that every vehicle on your shift is technically prepared for its mission and serve as the critical bridge between the depot and the road.

You are a hands-on leader who thrives in a fast-paced environment, balancing the structured technical workflows of the workshop with the dynamic needs of live fleet support. While centralized Dispatchers manage the initial coordination of field events, you are the on-site escalation path for your team, providing the technical and operational guidance needed to resolve complex vehicle issues and maintain the heartbeat of the fleet's daily cycle.

  • Shift: 2nd Shift // 3pm - 11:30pm // Tuesday
  • Saturday

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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

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