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 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. In this hybrid role, you will report to the Product Data Science Lead, Supply Operations. You will: Define, build, and maintain KPIs and metrics to measure operational safety and quality across our Operations Center Architect and scale data infrastructure to support automated reporting for Road Rule Events, improving operational transparency and safety insights Quantify our operational capacity to handle events, providing actionable data to scale team performance and optimize response protocols Analyze agent response precision to identify performance patterns, optimize workflows, and provide input for AI model training Partner cross-functionally to translate business challenges into robust data pipelines and reporting solutions that drive operational resilience You have: 8+ years of experience in a related technical field (or equivalent practical experience), with a proven track record of architecting and scaling projects Excellent communication and Stakeholder & Management skills: You can communicate clearly complex topic in an easy to understand way to stakeholders at all levels of the company Extensive experience with data modeling, warehousing and building ETL pipelines Action Oriented Analytical mindset - you not only build the report, you look at your data and make actionable recommendations from it We prefer: Experience in the Autonomous Vehicle industry or a strong background in engineering or physics Experience working with 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 $200,000 — $247,000 USD

Requirements

Must-haves

In this hybrid role, you will report to the Product Data Science Lead, Supply Operations.
Define, build, and maintain KPIs and metrics to measure operational safety and quality across our Operations Center
Architect and scale data infrastructure to support automated reporting for Road Rule Events, improving operational transparency and safety insights
Quantify our operational capacity to handle events, providing actionable data to scale team performance and optimize response protocols
Analyze agent response precision to identify performance patterns, optimize workflows, and provide input for AI model training
Partner cross-functionally to translate business challenges into robust data pipelines and reporting solutions that drive operational resilience
8+ years of experience in a related technical field (or equivalent practical experience), with a proven track record of architecting and scaling projects
Excellent communication and Stakeholder & Management skills: You can communicate clearly complex topic in an easy to understand way to stakeholders at all levels of the company
Extensive experience with data modeling, warehousing and building ETL pipelines
Action Oriented Analytical mindset - you not only build the report, you look at your data and make actionable recommendations from it
Experience in the Autonomous Vehicle industry or a strong background in engineering or physics
Experience working with Operations

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: greenhouse
Effort: quick