Waymo Logo

Waymo

Product Manager, Analysis Infrastructure

Posted 7 Days Ago
Be an Early Applicant
In-Office
2 Locations
204K-259K Annually
Mid level
In-Office
2 Locations
204K-259K Annually
Mid level
The role involves developing Waymo's analytic infrastructure, managing data governance, and collaborating with partner teams for data management and metric quality.
The summary above was generated by AI

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 Product Management Team is a mission-driven team responsible for writing and enacting first-of-their-kind playbooks to bring fully autonomous driving technology to market. Our team develops simple solutions for complex problems by orchestrating cross-functional efforts to safely drive Waymo’s technology and the products it enables forward. We do this by understanding the customer, the business, and the technology. We are humble about the scope of our work, collaborative in our approach to problem-solving, and ambitious about our vision for the future. 

This role follows a hybrid work schedule and reports and you will report to a Senior Product Manager.

You will:

  • Grow and curate Waymo’s data lake that spans onboard software, evaluation, simulation, commercial, and regulatory data sources and workflows
  • Build expertise and empathy across a number of partner teams, including data science, evaluation/simulation, commercial, partnerships, and onboard software teams
  • Develop the roadmap for Waymo’s core analytic infrastructure
  • Lead efforts around data governance, reliability, and metric quality in a rapidly evolving domain
  • Create legibility and consistency across dozens of silo’ed data pipelines to unblock scale

You have:

  • 2-3 years product management experience, preferably in a highly technical area (data infrastructure or analytics, machine learning/AI, cloud services)
  • Background in data infrastructure, data analysis, and data governance products at enterprise scale
  • Deep curiosity and grit, especially around data and metric development
  • Fluent SQL and hands-on analysis experience
  • Passion for robotics and autonomous vehicles

We prefer:

  • Product management experience in data infrastructure, analytics, machine learning/AI, or cloud services
  • Robotics or AV experience
  • Experience with large-scale data pipelines and data governance

Travel Requirements:

  • Ability to travel domestically as needed
  • Ability to travel internationally ~1x per year

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
$204,000$259,000 USD

Top Skills

SQL

Waymo Mountain View, California, USA Office

1600 Amphitheatre Pkwy, Mountain View, CA, United States, 94043

Similar Jobs

28 Minutes Ago
Easy Apply
In-Office
San Francisco, CA, USA
Easy Apply
140K-180K Annually
Junior
140K-180K Annually
Junior
Healthtech • Telehealth
The Software Engineer will design and develop scalable solutions for Mochi Health's platform, collaborating with teams to enhance user experience and code quality through best practices and modern tooling.
Top Skills: AWSCSSCypressDockerExpressJavaScriptKubernetesNew RelicNext.JsNode.jsPythonReactReact NativeRedisReduxSQLTypescript
2 Hours Ago
In-Office
Costa Mesa, CA, USA
129K-193K Annually
Mid level
129K-193K Annually
Mid level
Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
The Electrical Engineer will design, develop, and integrate electrical systems for unmanned vehicles while ensuring compliance with standards and managing project timelines.
Top Skills: Electrical Design And Simulation Software
2 Hours Ago
Hybrid
34 Locations
77K-202K Annually
Mid level
77K-202K Annually
Mid level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
As a Senior Associate, you'll collaborate with clients, analyze business issues, mentor juniors, and support technology strategy and software selection through research and analysis.
Top Skills: AWSAzureGCPMicrosoft DynamicsOracleSalesforceSAPWorkday

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account