Teams at Waymo

Develop statistical and machine learning techniques, quantitative models, and scalable automation for evaluation pipelines. Build data-processing infrastructure, improve evaluation efficiency, and solve ambiguous problems across statistics, ML, and large-scale systems. Collaborate with engineers, data scientists, product managers, and leadership while maintaining code quality in a complex codebase.

Leads U.S. and global experiential marketing strategies, sponsorships, partnerships, event activations, negotiations, budgets, and cross-functional execution. Translates Waymo’s brand strategy into immersive experiences that build public trust in autonomous technology. Manages event-based strategy, measurement frameworks, commercial agreements, vendors, and leadership approvals. Requires extensive event sponsorship expertise, strategic and tactical execution, and the ability to manage complex initiatives in a fast-paced environment.

Define technical vision and architecture for agentic, multi-agent systems that improve autonomous-driving event triage and evaluation. Lead development of scalable frameworks supporting dynamic reasoning, planning, tool use, self-reflection, and orchestration. Identify applications across the Waymo Driver evaluation lifecycle, establish roadmaps, collaborate across teams, and mentor engineers. The role requires extensive software engineering and AI/ML expertise, technical leadership, and experience building complex production systems.