Waymo
Waymo

60 Waymo Data Jobs Hiring Near You

Analysis Infra SWE

Mountain View, CA · On-site

$204K - $259K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... Develop and maintain a data processing platform used by onboard and offboard teams to extract ...

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Waymo Jobs Information

What is it like to work at Waymo?

Waymo is a technology company that values innovation, collaboration, and safety, fostering an environment where employees can work together to develop and implement autonomous driving solutions.

The company's structure is organized into various teams, including software engineering, hardware development, and operations, allowing employees to specialize in their areas of expertise and contribute to the development of self-driving cars. Waymo's work environment is designed to encourage creativity and experimentation, with access to cutting-edge technology and resources.

Working at Waymo may appeal to individuals who are passionate about transforming the transportation industry and have a strong interest in artificial intelligence, machine learning, and software development, as the company offers opportunities to work on complex technical challenges and make a meaningful impact on society.

What makes Waymo an attractive place to work?

Waymo is a leading autonomous driving technology company, a subsidiary of Alphabet Inc., and a pioneer in the development of self-driving cars. The company's workplace is characterized by a culture of innovation, collaboration, and experimentation, with opportunities for engineers and researchers to work on cutting-edge projects and contribute to the advancement of autonomous driving technology. Joining Waymo offers the chance to be part of a team that is shaping the future of transportation and mobility, with opportunities for professional growth, learning, and making a meaningful impact on society.
What are the most popular job types at Waymo?
    Infographic showing various Data job openings at Waymo in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 71% Physical, 25% Hybrid, and 4% Remote job distribution.

    Senior Manager, Product Data Science - Operations & Intelligence

    Waymo

    San Diego, CA • Hybrid

    $134K - $177K/yr

    Full-time

    Posted 19 days ago


    Job description

    Waymo's Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company - from driving quality and operational efficiency to market analysis and rider satisfaction scores - we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information.

    This role follows a hybrid work schedule and you will report to a Product Data Science, Lead.

    You will:

    • Set the vision for a team of Product Data Scientists 
    • Lead the team to execute company vision at scale, owning all team outputs across optimizations, modeling, and data analysis
    • Analyze operational and vehicle data to enhance Waymo Driver performance, support rapid geographic expansion, and maintain continuous freedom of operation
    • Act as a key thought partner to senior leadership, aligning cross-functional stakeholders around a shared vision
    • Manage the prioritization of team resources to effectively partner with key cross-functional teams, including product, engineering, operations, and strategy

    You have:

    • 12+ years of experience in a related technical field or equivalent practical experience
    • 5+ years of team management experience
    • 5+ years of experience with Machine Learning models and experimentations
    • Statistical knowledge/data intuition
    • Ability to structure and solve ambiguous problems
    • Coding skills and experience: Python,SQL and Data science related coding experience

    We prefer:

    • Experience working with Product and Software Engineering teams
    • Prior experience building and managing both Data Scientists and Data Analysts
    • Marketplace business experience