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Loyalty Marketing Manager

Zoox

Loyalty Marketing Manager

Zoox

Foster City, CA

·

On-site

·

Full-time

·

5d ago

The Zoox Communications team brings Zoox’s mission, strategy, and values to life through clear, consistent, and engaging communications and programs.

We embrace telling compelling stories through high-quality content and community engagement.

Our process is collaborative and creative.

We are growing a team of exceptional people to help bring Zoox to the world!

We are inventors, builders, and doers, passionate and purposeful in the work we do.

We have a once-in-a-century opportunity to reinvent personal transportation—and we need your help.

At Zoox, you’ll find a creative, collaborative environment where great ideas thrive and where everyone is driven by the same big purpose.

Zoox is looking for a Loyalty Marketing Manager to join our growing Marketing team.

This is a unique opportunity to build a best-in-class loyalty and retention program from the ground up.

In this role, you will be responsible for owning marketing promotions, creating the vision for loyalty at Zoox, developing the multi-year roadmap, and executing the strategies that will foster lasting relationships with our customers.

The ideal candidate has a proven track record of launching and scaling successful loyalty and retention programs.

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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