Waymo-posted 2 days ago
Full-time • Manager
Mountain View, CA

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. As an ML Data Program Manager, you will be the operational backbone of our machine learning initiatives. You will own and drive the complex, cross-functional programs that deliver high-quality data—the lifeblood of our models. You will orchestrate the end-to-end data life-cycle, from defining requirements for new datasets and tooling to scaling data pipelines and ensuring our ML teams have the resources they need to innovate. This is a high-impact role for a technical, detail-oriented leader who thrives on turning ambiguous data needs into tangible, scalable solutions.

  • Collaborate across cross functional groups and align execution to meet product goals
  • Partner with technical leads, product managers and technical program managers to drive execution on broad cross-functional efforts
  • Lead proactive risk management efforts and contingency plans across the program landscape to deliver on the program
  • Set up and sustain mechanisms that enable organizational efficiencies, and improve speed of decision making and execution
  • Communicate across all levels of the organization to ensure all partners are aware of program decisions, status, and changes
  • Own the details - Dive deep, identify gaps, evaluate risks and misalignment
  • 8+ years of experience in engineering program management, with at least 3+ years focused specifically on data-centric programs for machine learning
  • Deep understanding of the ML model life-cycle and the critical role of data within it (e.g., data sourcing, labeling, quality evaluation)
  • Proven ability to manage complex technical programs, including structuring project plans, identifying dependencies, and driving execution using Agile methodologies (e.g., Scrum)
  • Demonstrated technical judgment in the ML/data domain, with the ability to facilitate trade-off discussions about data pipelines, tooling, and data quality with engineering teams
  • Experience managing data annotation/labeling pipelines, either with in-house tooling or by managing third-party vendor relationships
  • Exceptional communication skills, capable of articulating program strategy, status, and technical details to both executive and engineering audiences
  • Master’s degree in a technical field, ideally related to AI/ML
  • You contributed to technical decision making by analyzing trade-offs, asking the rights questions and offering alternate solutions
  • Experience designing and reporting on program metrics that directly measure the impact of data quality on model performance
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