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Technical Lead Manager, Release Health

Waymo

Technical Lead Manager, Release Health

Waymo

Mountain View, CA, USA; San Francisco, CA, USA

·

On-site

·

Full-time

·

5d ago

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who’ll help us maintain strong teamwork and are passionate about driving results.

You will:

  • Lead and manage the Behavior Test Engineering’s Release Health Team, including hiring, setting OKRs and guiding work, and developing your team's careers

  • Participate effectively in the on-call rotation, and automate Waymo's testing pipelines to be more resilient, reliable, and scalable

  • Lead technical work — work with SREs, Test engineers and SWE partners to develop and set the technical direction and architectural guidelines for Waymo's long-tail behavioral testing suite

You have:

  • A Bachelor's degree in a relevant field

  • Strong leadership and communication skills, with experience navigating a critical and horizontal space

  • 6+ years of industry experience in reliability engineering or production systems

  • 1+ years of management experience

  • The ability to lead a technical engineering team and deliver impact while managing the team effectively

  • Demonstrated ability as an individual contributor engineer

  • Ability to be in an on-call rotation

We prefer:

  • A Bachelor’s degree in Computer Science (or similar)

  • A demonstrated track record of aligning reliability engineering culture and goals with overall business level objectives and priorities

  • A demonstrated ability to engage deeply on technical issues the company and your team will face

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range**$230,000—$292,000 USD**

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About Waymo

Waymo

Waymo LLC is an American autonomous driving technology company headquartered in Mountain View, California. It is a subsidiary of Alphabet Inc., Google's parent company.

1,001-5,000

Employees

Mountain View

Headquarters

$200B

Valuation

Reviews

4.2

2 reviews

Work Life Balance

3.5

Compensation

3.0

Culture

4.5

Career

3.5

Management

3.5

85%

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Pros

Excellent engineering culture

Interesting technical domain

Elite perception team

Cons

Compensation may not be competitive with other tech companies

Career trajectory concerns

Limited advancement opportunities

Salary Ranges

1,233 data points

Mid/L4

Mid/L4 · Program Manager

36 reports

$246,923

total / year

Base

$172,171

Stock

$54,417

Bonus

$20,335

$168,521

$373,627

Interview Experience

5 interviews

Difficulty

3.6

/ 5

Duration

14-28 weeks

Offer Rate

60%

Experience

Positive 40%

Neutral 60%

Negative 0%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

Onsite/Virtual Interviews

6

Final Round

Common Questions

Coding/Algorithm

Machine Learning

System Design

Behavioral/STAR

Technical Knowledge