refresh

Trending Companies

Trending

Jobs

JobsWaymo

Program Manager, Mapping Operations

Waymo

Program Manager, Mapping Operations

Waymo

Mountain View, CA, United States

·

On-site

·

Full-time

·

1w ago

Compensation

$101,003 - $127,005

Benefits & Perks

Equity

Bonus

Equity

Required Skills

Process improvement

Problem solving

Communication

Operations management

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.

You will:

  • Develop deep subject matter expertise in a vertical of mapping operations, and serve as a go-to point of contact for stakeholders across the entire organization

  • Test and roll out new mapping tools, features, and workflows in coordination with our Engineering and Product partners

  • Identify opportunities to improve efficiency to scale operations and own those solutions end-to-end

  • Create and maintain clear technical documentation that will serve as the primary map build SOPs

You have:

  • A Bachelor’s degree in a technical or business discipline

  • 2+ years (for L2, 4+ years for L3) of relevant experience in a high growth start-up or similar environment

  • A process focused mindset and experience improving inefficient processes

  • The capacity to use creative problem solving to hit your goals

  • The curiosity and ability to learn new tools and workflows quickly

  • Excellent communication skills and an ability to articulate complex ideas in simple, understandable ways

We prefer:

  • Process improvement experience

  • SQL or other data analytics skills

  • Ability to approach complex problems with a logical, systematic, and data-driven perspective

  • Technical documentation and training experience

Travel requirements:

  • Ability to travel to the India as needed (once every 2 or 3 years)

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**$48.56—$61.06 USD**

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

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%

Recommend to a Friend

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 · Data Scientist

38 reports

$280,748

total / year

Base

$183,551

Stock

$74,549

Bonus

$22,649

$187,768

$434,285

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