Program Manager, Regulatory Reporting

🏢 Waymo · all 9 jobs
📍 United States
💰 USD 190,000 - 234,000 / annual
📅 Posted Sep 20, 2026 · via Himalayas
🏷 Regulatory Compliance, Regulatory Reporting, Technical Operations, Quality Assurance Operations, Regulatory Program Manager, Compliance Program Manager +4 more
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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.

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 improve

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