Waymo
Autonomous Driving Technology
ProgramManager,MLData
Neural analysis suggests this role is
optimal for Senior candidates.
“Program Manager, ML Data at Waymo. Skills: ML Data Program Management, Cross-functional Collaboration, Data Lifecycle Orchestration. Own and drive complex, cross-functional programs. Deliver high-quality data”
What You'll Achieve.
Deliver high-quality data; Meet product goals; Deliver on the program; Measure impact of data quality on model performance
Industry & Context.
Turning ambiguous data needs into tangible, scalable solutions; Facilitate trade-off discussions; Dive deep; Identify gaps; Evaluate risks; Evaluate misalignment; Analyzing trade-offs; Asking the rights questions; Offering alternate solutions
What They're Looking For.
Must Have
8+ years of experience in engineering program management, 3+ years focused specifically on data-centric programs for machine learning, Deep understanding of the ML model lifecycle and the critical role of data within it, Proven ability to manage complex technical programs, structuring project plans, identifying dependencies, driving execution using Agile methodologies, Demonstrated technical judgment in the ML/data domain, ability to facilitate trade-off discussions about data pipelines, tooling, and data quality with engineering teams, Experience managing data annotation/labeling pipelines, Exceptional communication skills
Nice to Have
Master’s degree in a technical field, ideally related to AI/ML, contributed to technical decision making by analyzing trade-offs, asking the rights questions, offering alternate solutions, Experience designing and reporting on program metrics that directly measure the impact of data quality on model performance
What You'll Do.
Own and drive complex
cross-functional programs
Deliver high-quality data
Orchestrate end-to-end data lifecycle
Define requirements for datasets and tooling
Ensure ML teams have resources
Collaborate across cross functional groups
Align execution to meet product goals
Partner with technical leads
product managers and technical program managers
Drive execution on broad cross-functional efforts
Lead proactive risk management efforts
Develop contingency plans
Set up and sustain mechanisms for efficiencies
Improve speed of decision making
Improve speed of execution
Communicate across all levels of the organization
Ensure partners are aware of program decisions
Ensure partners are aware of program status
Ensure partners are aware of program changes
Evaluate misalignment
How You'll Work.
Team & Collaboration
Collaborate across cross functional groups; Align execution to meet product goals; Partner with technical leads, product managers and technical program managers; Drive execution on broad cross-functional efforts; Communicate across all levels of the organization; Ensure all partners are aware of program decisions, status, and changes
Communication Scope
Exceptional communication skills; Articulating program strategy; Articulating program status; Articulating technical details; Communicate across all levels of the organization
Process & Methodology
Engineering program management, Data-centric programs, Complex technical programs, Structuring project plans, Identifying dependencies, Driving execution, Agile methodologies, Scrum, Risk management, Contingency plans, Program metrics
Full 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. As a 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 lifecycle, 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. You will: 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 You have: 8+ years of experience in engineering program man
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