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Senior Product Manager, Simulation at Waymo (Mountain View, CA / San Francisco, CA)

Waymo· Mountain View, CA / San Francisco, CA· $241k–$297k·

Role details

Salary
$241k–$297k

Job description

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 to the Director of Product Management.

You will:

- Define and champion a compelling product vision and strategy for Waymo’s AV simulator

- Work with cross-functional teams, including product managers, operations, system engineering and safety experts to define product requirements

- Collaborate with Engineering, Research, Systems Engineering, Safety, and Operations teams to gather requirements, align roadmaps, and ensure successful development and deployment of new simulation capabilities.

- Monitor and evaluate the performance of the simulator, identifying opportunities to improve realism and efficiency

- Partner with research to build and leverage large-scale foundation models in Simulation

You have:

- A BS degree in Computer Science, engineering, similar technical field or equivalent practical experience.

- 6+ years of relevant product management experience, with a proven track record of owning and launching complex technical products.

- Strong technical acumen and demonstrated experience developing and launching AI/ML powered products,  including familiarity with foundation models or generative AI.

- Excellent written and verbal communication skills, with the ability to communicate technical concepts to non-technical stakeholders.

We prefer:

- Experience working on simulation systems, robotics, autonomous vehicle technology, or game engines.

- Deep understanding of and experience in productizing AI/ML models, including large-scale foundation models.

- Knowledge of sensor simulation, synthetic data generation, or world modeling.

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 $241,000—$297,000 USD

Why work at Waymo

  • Impact: Work on technology that directly saves lives (1.4M traffic deaths globally each year) and reshapes the future of transportation.
  • Culture: Waymo describes itself as a place for “ambitious thinkers and relentless problem solvers” with a deep respect for getting every detail right. Values include safety, innovation, and responsibility.
  • Teams: Opportunities across Software Engineering, Hardware Engineering, AI Foundations, Product & Design, Operations & Supply Chain, Safety, Policy, and General & Administrative roles.
  • Internships: Strong early-career program with internships for Bachelors, Masters, MBA, and PhD candidates, often leading to full-time offers.
  • Hiring process: Transparent and structured. Includes an initial recruiter screen, 1-2 phone/video interviews, and a virtual onsite (up to 5 interviews). Emphasizes problem-solving, collaboration, and real-time thinking. AI tools are not permitted during technical assessments to ensure fair evaluation.
  • Remote/hybrid policy: The careers page lists both on-site and remote roles, with most engineering and operations roles based in Mountain View, San Francisco, or other US locations.
  • Benefits: Top-notch benefits, unique learning opportunities, thoughtful community engagement, and meaningful gatherings. Specific perks are not detailed publicly but are described as comprehensive.

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