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Waymo

Robot type
Autonomous Vehicle
Location
Mountain ViewCaliforniaUSA
Job type
Product
Posted
Mar 27, 2026
Salary
$159,000–$196,000 a year
Full-time

Program Manager, New Markets & Platforms

Job description

The Software Quality Operations (SWQ Ops) team is at the heart of ensuring the safety, reliability, and quality of the Waymo Driver. Our mission is to build an adaptable and scalable operation, increasingly powered by AI, to deliver the crucial insights necessary to confidently deploy and grow Waymo's autonomous vehicle service.

This role follows a hybrid work schedule and reports to a SWQ Ops Triage Program Manager Team Lead. This role will lead a team of 5 and requires prior leadership experience .

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver.

Waymo is undergoing unprecedented growth, rapidly expanding into new cities and launching…

Job responsibilities

  • Drive outcomes for programs that span multiple orgs. Responsible for long term forecasting and resource planning.
  • Be responsible for standing up new workflows and scaling existing workflows to support new market expansions. Translate complex human operations into scaled and reliable operations, bringing key insights to customers…
  • Communicate overall program status, risks and current priorities to stakeholders. Drive tradeoff decisions making across functions.
  • Define program / workflow KPIs and SLAs. Drive high-quality outcomes through deployments with a global vendor workforce.
  • Drive workflow transformation efforts to meet evolving business needs. Partner with Engineering to design, test, and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools to drive…

Job requirements

  • Bachelor's degree in technical or business discipline
  • 7+ years of experience in Technical Operations, Program Management, or Quality Engineering
  • Proven ability to manage complex technical programs, including structuring project plans, identifying dependencies, and driving execution using Agile methodologies (e.g., Scrum)
  • Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring
  • Ability to thrive in a high ambiguity, dynamic environment.
  • People management experience
Apply on Waymo websiteSave

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