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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. 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.
Job Responsibility:
Own the commercial plans for the markets within your region, acting as the definitive voice and strategic driver for your territory within broader planning processes
Drive comprehensive planning cycles with key stakeholders, understanding every working nuance of your markets to optimize operations across all intersecting areas of planning, product, and execution
Build and manage highly intricate models to accurately forecast, answer complex 'what-if' scenarios, and extract deep operational insights that can only be gleaned through advanced planning processes
Uplevel core planning software and methodologies, applying expertise in Anaplan and intricate spreadsheet-driven models to ensure accurate forecasting and seamless alignment with corporate financial strategy
Lead business optimization initiatives, utilizing your strategic regional knowledge to translate chaotic hyperlocal friction—such as macroeconomic volatility, ridehailing marketplace dynamics, and infrastructure constraints—into structured business processes and decisions that ensure commercial success
Distill complex operational narratives from regional happenings to elevate business review meetings, conducting continuous 'performance bridging' to trace key metrics to their systemic root causes, and then feed those bridges and insights back into their commercial plans
Requirements:
Bachelor's degree in Industrial Engineering, Finance, Business Analytics, Mathematics, or a related quantitative field, or equivalent practical experience
5+ years of relevant professional experience in strategic operations, technical program management, financial planning, or a highly analytical business function
Extensive experience owning end-to-end planning cycles and acting as a strategic, cross-functional partner to regional leadership and product teams
Deep, hands-on expertise in navigating, auditing, and building highly detailed models within enterprise planning platforms (specifically Anaplan) and advanced spreadsheet environments
The ability to distill highly complex operational data and technical what-if scenarios into clear, executive-level narratives that drive high-stakes business reviews
A proven track record of acting as an advocate to drive cross-functional strategy, cost-down initiatives, and revenue optimizations
Demonstrated knowledge of SQL to manipulate underlying data schemas, clean and distill business data, and build custom statistical models where needed
Nice to have:
Master's degree required (MBA strongly preferred) in Finance, Economics, Operations Research, or a related quantitative discipline
8+ years of rigorous strategic execution within high-velocity environments such as Tier-1 management consulting, private equity, investment banking, or corporate strategy at a hyper-growth technology firm
Direct experience planning and managing ride-hailing networks, demonstrating a profound understanding of network liquidity, dynamic surge pricing, localized supply-demand balancing, and ride-hailing marketplace dynamics
Proven ability to oversee large-scale vehicle fleets and coordinate seamlessly with third-party operators and enterprise partner ecosystems
Proficiency in applying stochastic simulation and queueing theory to real-world operations, specifically translating chaotic environmental variables—such as severe weather volatility, municipal infrastructure constraints, and traffic anomalies—into precise mathematical capacity buffers
Demonstrated success operating within a highly matrixed organization, expertly driving alignment, negotiating priorities, and ensuring unified execution across operations, product, finance, and corporate strategy