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Team Lead, Mission Readiness & Fleet Response (1st Shift)

Zoox

Team Lead, Mission Readiness & Fleet Response (1st Shift)

Zoox

Los Angeles, CA

·

On-site

·

Full-time

·

1w ago

As a Team Lead for Mission Readiness & Fleet Response within Zoox’s Fleet Operations organization, you are at the forefront of the autonomous mobility revolution. You will be a key leader in our expansion into new markets, responsible for the end-to-end operational integrity of the Zoox Robotaxi fleet. This dual-function role unifies the technical preparation of our vehicles with high-level oversight of live field incidents, ensuring every Zoox vehicle is "service ready" and every mission is supported with operational excellence.

Your leadership will bridge the gap between structured depot workflows and the dynamic environment of real-time fleet response. Rather than performing hands-on technical tasks, you will drive strategy and performance by managing a hybrid workforce of Full-Time Shift Leads and contingent associates. Serving as the primary on-site escalation path for critical field incidents and holding third-party recovery partners accountable, you will directly impact Zoox’s fleet availability, safety standards, and our ability to deliver a seamless experience to our riders.

  • Shift: 1st Shift // 7am - 4pm // Monday
  • Friday

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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