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Technical Program Manager - Infrastructure

Zoox

Technical Program Manager - Infrastructure

Zoox

Foster City, CA

·

On-site

·

Full-time

·

1w ago

Zoox has embarked on a highly ambitious journey to develop a full-stack autonomous mobility solution for our cities.

As a Technical Program Manager, you will work cross-functionally with engineering leaders across software, hardware, vehicle engineering, and product to drive our corporate strategy into tactical and detailed road maps that facilitate effective execution at each stage of our growth curve.

You will work with engineering teams to develop project schedules, identify milestones, flag risks, estimate budgets, and clearly communicate ongoing progress.

The role is focused on managing programs related to our use of cloud resources, which are the core resources the company relies on for compute, storage, and networking services.

As a member of this team you will be in a critically important position at the intersection of finance and technology to influence cost savings, operational efficiency, and the scalability of our services.

With plans to rapidly scale our service over the coming years, doing so in an efficient way is essential for the success of our robotaxi business.

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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