Waymo's Technical Program Managers are accountable for Waymo's roadmap execution by providing thoughtful cross-functional planning, clarity, and proactive risk management. In the face of complex technical and operational challenges with no established playbooks to follow, we act with thoughtful urgency, driving conversations, discussions, and outcomes. Our team partners closely with every function of Waymo to structure, own and drive work towards real-world deployments of the Waymo Driver across platforms and geographies.

In this hybrid role, you will report to a Machine Learning Program Manager.

You will:

• Collaborate across cross functional groups and align execution to meet product goals
• Partner with technical leads, product managers and program managers to lead execution on broad efforts
• Lead proactive risk management efforts and contingency plans across the program landscape to deliver on the program
• Set up and sustain mechanisms that promote organizational efficiencies, and improve speed of decision-making and execution
• Communicate across all levels of the organization to ensure all partners are aware of program decisions, status, and changes

You have:

• 4+ years of technical program management experience
• Bachelor's degree in a technical discipline, and good understanding of Machine Learning model life cycle or equivalent years of experience.
• The ability to engage with engineering leads and contribute to technical discussions by understanding the tradeoffs and impacts of various technical decisions to the program scope, risks and timeline
• Fluent in structuring project plans, identifying technical dependencies, and driving execution across teams, all the while implementing process improvements. Having hands-on experience using Agile project management tools
• A desire to work across the organization with everyone, where all agree what we accomplish is more important than who gets the credit
• Hands-on experience identifying technical problems, and driving complete cycle of problem discovery to solution and execution.
• Represent your project from business, product, or technical perspectives at varying levels.

We prefer:

• Master's degree in a technical field, ideally related to AI/ML
• You contributed to technical decision-making by analyzing trade-offs, asking the rights questions and offering alternate solutions