Product Manager, Fleet Simulation

Waymo

California (MO)

Hybrid

USD 204,000 - 252,000

Full time

14 days+

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Benefits offered by this job

Discretionary annual bonus program
Equity incentive plan
Generous benefits program

Job summary

Waymo's Product Management Team is seeking a seasoned Product Manager to lead the development of a fleet-wide simulation platform that informs depot and ride-hailing operations.

You will partner with engineering, UX, data science, and operations to define a pragmatic roadmap, drive experimentation, and deliver developer-focused tools that scale across complex systems. Hybrid work flexibility is available with strong collaboration across teams.

Qualifications

  • 5+ years of product management experience with collaboration across engineering, UX, data science and operations teams.
  • BS degree in Computer Science, engineering or a similar technical field.
  • Ability to understand developer experience as it relates to pre-production testing and experimentation.

Responsibilities

  • Foster a culture of extensive pre-production testing and experimentation through a fleet simulation platform.
  • Define and deliver on the roadmap for fleet-wide simulation to evaluate impact of offboard changes to commercial performance (depot operations, ride hailing operations).
  • Collaborate with engineering and product teams to understand changes needed and build a roadmap serving multiple internal stakeholders.
  • Work with Data Analytics to enable a simulation environment for experimentation of ML & OR models prior to launch.
  • Understand Developer Experience to support large-scale adoption and deliver frontend tools.
  • Turn complex operational and engineering pain points into a crisp roadmap.

Skills

Product management
Cross-functional leadership
Stakeholder management
Data analytics

Education

BS in Computer Science or Engineering

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 a Group Product Manager.

You will:
  • Foster a culture of extensive pre-production testing and experimentation through a well functioning, highly capable and easy to use fleet simulation platform
  • Define and deliver on the roadmap for fleet wide simulation to evaluate impact of offboard changes to commercial performance (depot operations, ride hailing operations)
  • Collaborate with various engineering and product teams to understand types of changes they need to evaluate and build a roadmap that serves multiple internal stakeholders
  • Work with Data Analytics team to enable a simulation environment that enables experimentation of ML & OR models prior to launch
  • Understand Developer Experience necessary to support large scale adoption of this simulation platform and deliver front end tools necessary to drive adoption
  • Deeply understand complex operational, engineering, system-level pain points, and turn these insights into a crisp roadmap
You have:
  • 5+ years of product management experience with Experience collaborating directly with engineering, UX teams Data Science and operations teams
  • A BS degree in Computer Science, engineering, similar technical field
  • Ability to deeply understand developer experience as it relates to pre-production testing and experimentation and use that empathy to drive a steller product roadmap
  • Ability to translate company-level outcomes to team-level outcomes and build a product roadmap to achieve those outcomes
  • Direct ownership/ accountability to highly technical infrastructure outcomes
We prefer:
  • A master’s degree in a technical or engineering discipline, MBA, or equivalent experience in Robotics or Machine Learning
  • Prior experience working with testing or simulation environments
  • Prior experience working on highly scaled web services, technical infrastructure, and platforms
  • Prior experience working in complex operational settings (e.g., Amazon, Walmart)
  • Experience at a high-growth company helping scale its systems/ pipelines
  • Past experience collaborating with geographically distributed teams
Travel:
  • Quarterly visit to the Warsaw office
  • Quarterly visit to existing or upcoming Waymo market to observe operations

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—$252,000 USD

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