The Software Quality Operations (SWQOps) 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.

Why This Team is Essential to Waymo's Success:

Waymo is undergoing unprecedented growth, rapidly expanding into new cities (targeting ~20 new cities by EOY 2026) and launching new vehicle platforms. SWQ Ops plays a critical role in this expansion, making it possible to scale safely and efficiently. The Regulatory Reporting Operations team within SWQ Ops owns the scaled delivery of datasets and methodologies used to evaluate events of regulatory interest and ensure reporting accuracy as Waymo continues to scale. We are on the front lines of:

• De-risking New Deployments: Through meticulous triage of driving and simulated events, issue discovery, and continuous field monitoring, SWQ Ops provides early warnings and critical insights. This "early intervention in RO issue detection" ensures operational resilience and safety, particularly in new and complex environments, which is critical as Waymo enters multiple new cities and ramps up platforms like Ojai.
• Enabling International RO & Market Expansion: Our team is deeply integrated into every stage of Waymo's market entry framework, from initial city evaluation (OK2Plan) to scaling operations (OK2Scale). We provide the necessary data analysis, policy development, and quality assurance to unblock critical milestones, preventing slowdowns in market expansion velocity.
• Data Flywheel: Supporting the development of a single, automated, end-to-end machine learning flywheel for the entire Waymo Driver. A successful flywheel will be the core engine for scaling our technology, enabling faster international expansion, quicker remediation of driving issues, and a significant reduction in the engineering effort required to maintain and improve the driver.
• Driving Engineering Velocity: By handling the vital work of performance evaluation, issue deep-dives, and data set curation, SWQOps collaborates heavily and allows Waymo's Engineering, SysEng, Simulation, and Data Science teams to focus on their core tasks of developing and improving the Waymo Driver.
• Workflow Incubation & Development: Incubating high-impact workflows and ensuring readiness for automation and long-term operational excellence.

You will:

• Drive outcomes for large and complex technical operations programs that span multiple organizations. Develop and drive execution on strategic roadmaps, own forecasting and resource planning.
• Partner with the Regulatory Compliance team to operationalize reporting requirements and be responsible for standing up new workflows and scaling existing workflows to support US and International expansions.
• 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 step-change improvements in issue discovery & detection, triage efficiency, and quality assurance.
• Communicate overall program status, risks and current priorities to executive stakeholders. Drive strategic decisions making across functions.

• Mentor a high-performing team of Technical Specialists, fostering a culture of "quality-first" in a high-velocity environment.

You have:

• Bachelor's degree in technical, legal or business discipline
• 10+ years of experience managing complex, tech-enabled operations and experience working across cross-functional partners (Legal, Product, Engineering, Data Science, Systems Engineering) to drive outcomes
• 5+ years of people management experience
• Experience in Regulatory Compliance, Vehicle Qualification, or similar domains, and ability to assess and operationalize legal reporting requirements
• Proven ability to manage complex technical operations programs, including structuring project plans, identifying dependencies, and driving execution
• Ability to thrive in a high ambiguity, dynamic environment

We prefer:

• Experience working with offshore teams / multiple local operations hubs
• Experience within A / V space
• Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring
• Experience with Lean / Six Sigma process improvement methodologies

((Remote jobs only - Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process.))

The expected base salary range for this full-time position 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. 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

$190,000-$234,000 USD