Product Manager, New Geo Evaluation

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. In this hybrid role, you will report to a Group Product Manager.

Responsibilities

Understand our users -- there are many different ways we leverage simulation and on-road data to make decisions at Waymo: improve models that drive the car, assess our performance in a new environment or validate the readiness of a new vehicle platform. Each of these decisions requires a commitment to safety; Work with a team of world class data scientists, engineers, machine learning practitioners to evaluate the safety and quality of our driving behavior in a data-driven way; Power the launch of the Waymo Driver in new environments, especially new international markets, by designing and executing an evaluation plan for critical new scopes and/or driving behaviors; Land features throughout simulation (such as synthetic data generation, sensor simulation and simulated agents) to increase signal and improve our ability to learn from simulation; Work closely with Onboard developers who use our products to assess their launches in simulation: build products that leverage simulation to increase the confidence, quality and speed of onboard launches

Requirements

5+ years experience working on AV, Robotics, or products that utilize Machine Learning or AI; Experience in analytical roles or AI / ML roles, interacting with data scientists; Experience working in distributed systems, data infrastructure and/or cloud computing; Ability to think about long-term product vision, and then decompose that into concrete, actionable plans with cross-org alignment

Nice to have

Experience with Simulation or Evaluation of AVs, Large Foundational Model training / evaluation pipelines or the evaluation / experimentation platforms for large production systems (Ads, Search, Ranking, etc.); Experience launching new features in an evaluation / experimentation platform used by Data Scientists or engineers; Experience building tools, especially simulation or eval platforms used by engineers and / or data scientists. Emphasis on building simple, guided User Experiences; Master's degree in a technical or engineering field, or equivalent practical experience

Benefits

Top-notch medical, dental and vision insurance; mental wellness support; gym membership; special wellness programs; competitive compensation; bonus opportunities; equity incentive plan; employees provident fund; other perks and employee discounts; flexibility to work from another location for four weeks per year; on-site or hybrid work model and remote working opportunities; paid time off; bereavement, sick, and parental leave; discretionary annual bonus program; generous Company benefits program