Planning Manager

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.

Waymo Operations exists to deliver the Waymo Driver to the world. We are a global team building and scaling the world's first and leading autonomous fleet and operations platform. From component sourcing to end customer management, we enable and create value for Waymo through scaled and orchestrated deployment of the Waymo Driver. At Waymo, we are dedicated to building a culture that promotes collaboration and celebration. We value our team members' unique backgrounds, perspectives, and experiences and support and encourage all team members to share their ideas to help Waymo better serve the communities in which we operate.

This role follows a hybrid work schedule and reports to the Head of Global Operations Planning.

 

You will:

• Design Scalable Processes: Build and own the global framework for Global Operations Center capacity planning, acting as the primary program manager for resource scaling.

• Navigate Operational Ambiguity: Apply strong business judgment to ensure resource strategies accurately reflect commercial targets (cars, trips, revenue) and real-world operational constraints.

• Drive Vendor Accountability: Oversee execution across large, cross-organization vendor partnerships, prioritizing structural efficiency models and strict SLA compliance.

• Shape Executive Narratives: Provide critical input to decision-makers by translating complex capacity models into decisive narratives with clear P&L implications.

• Mitigate Operational Risk: Identify risks and advocate for structural fixes and "principled spending" rather than relying on temporary resource additions.

• Validate Technical Models: Periodically perform technical deep-dives to ensure mathematical and capacity models remain transparent, verifiable, and free of "black box" assumptions.