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Administrative Business Partner, Floater

Zoox

Administrative Business Partner, Floater

Zoox

Foster City, CA

·

On-site

·

Full-time

·

1w ago

Zoox is building the future of transportation.

To do that, we’re also building an incredible crew—united by our mission, energized by our values, and driven by our purpose.

We are looking to hire an executive assistant to support our executive office, reporting to the CEO's EA, and providing rotating support to key executives throughout the organization.

This role will work closely with other Executive Assistants and Administrative Business Partners across all the departments at Zoox.

This is an ideal position for someone who works well in a fast-paced environment, is a self-starter, and wants to work on dynamic and mission-driven teams.

This role will require strong calendaring and prioritization skills, uncompromising attention to detail, the ability to meet tight deadlines, excellent organizational skills, and the ability to juggle multiple critical requests simultaneously. A high level of integrity, discretion in handling confidential information, and professionalism in dealing with senior leaders within the company are also vital aspects of this role.

Most importantly, you must have a genuine passion for the Zoox mission.

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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