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 70% Physical, 26% Hybrid, and 4% Remote job distribution.

    Senior Manager, Product Data Science - Fleet Optimization and Orchestration

    Waymo

    San Diego, CA • Hybrid

    $134K - $177K/yr

    Full-time

    Re-posted 4 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 Director, Product Data Science.

    You will:

    • Set the vision for a team of Product Data Scientists
    • Provide leadership to the team to execute on the vision as the company scales its commercial operations, and own the output across optimizations, statistical modelling, data analysis and ML algorithms
    • Analyze complex operational and commercial data to enhance performance as Waymo scales our AV business 
    • Function as a thought partner with senior management and stakeholders, and align stakeholders around the vision to gain cross-functional support
    • Manage prioritization of team resources to partner with cross functional teams such as Marketing, Engineering, Product, Strategy, Finance

    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 optimization and building OR models in production
    • 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:

    • Prior experience building and managing OR/Optimization scientists
    • Marketplace business experience
    • Experience interacting with Product Management teams