Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Build and maintain data science models and quantitative measurement frameworks to guide infrastructure decisions (chargers, parking, depots). Analyze infra efficiency and identify improvements. Collaborate cross-functionally with Supply Operations, Product, and Engineering to incorporate business context into model-driven decisions supporting expansion to new territories and cities.

Design and maintain KPIs, data infrastructure, and automated reporting to measure operational safety and resilience. Build scalable data models and ETL pipelines, analyze agent response performance, quantify operational capacity, and partner cross-functionally to deliver actionable insights that improve operations and inform AI model training.

Define and own growth metrics (activation, promo redemption, loyalty); build full-funnel performance tracking and paid media tracking infrastructure; provide channel-level reporting to guide marketing and product decisions; ensure data quality and instrumentation; translate business questions into data requirements and perform deep-dive analyses to inform growth strategy.

Lead the experimentation science roadmap for Waymo's marketplace platform. Design advanced causal inference and experimental methods for spatial-temporal and network effects, set best practices, partner with engineering to productionize pipelines, and translate results into clear product strategy for stakeholders.

Manage and deploy brand media strategies across digital and offline channels to enhance brand visibility and support growth marketing. Collaborate cross-functionally to analyze investments' impact on growth metrics, and optimize media allocation while guiding agency partners for effective execution.

Lead end-to-end ML model development for safety-critical driving behaviors, design experiments, improve data quality, deploy models and metrics fleet-wide, and communicate results across product and engineering teams.

The Technical Training Manager will oversee training programs for vendors and partners, ensuring effective delivery and compliance with safety standards, while managing training qualifications and external partnerships.

Lead and grow a Product Data Science team to drive modeling, experiments, and data analysis that improve Waymo Driver performance and operational efficiency. Partner with senior leadership and cross-functional teams to prioritize resources, support geographic expansion, and translate vehicle and operational data into scalable product decisions.

Develop and maintain the Android platform for autonomous vehicles, evaluate vendor kits, provide technical support, and bring up Android on new hardware.

Lead growth initiatives for Waymo's rider product by building features, tooling, and infrastructure to drive trip growth. Partner cross-functionally with data science, marketing, UX, engineering, and operations to improve experimentation, measurement, and customer acquisition efficiency. Define and promote growth strategy to senior leaders and execute on incentives and CAC optimization.