Behaviour Labeling Policy Program Manager, Labeling Operations

The Labeling Data Program Org owns the execution and creation of curated labeled datasets which are critical for training and evaluation of ML models that power the Waymo Driver.

As a Program Manager in this team, you will be the operational backbone of our machine learning initiatives. You will own and drive the complex, cross-functional programs that deliver high-quality data—the lifeblood of our models. You will orchestrate the end-to-end data lifecycle, from defining policy for new datasets and tooling to scaling data pipelines and ensuring our ML teams have the resources they need to innovate. This is a high-impact role for a technical, detail-oriented person, who is hands on and who thrives on turning ambiguous data needs into tangible, scalable solutions.

You will:

• Behaviour Policy development: Be hands-on and spearhead ML data annotation policies, guidelines, and SOPs by collaborating with Engineering, Product, and Program teams


• Operational Execution: Operationalize workflows with vendor partners, serving as the primary link between AI/ML development and day-to-day execution


• Quality Management: Create golden datasets for evaluation of policy and processes used for data creation. Design and implement robust quality control processes and meta-quality checks for both human and AI-generated outputs


• Subject matter expertise: Act as the Subject Matter Expert for annotation policy, providing technical leadership and consultation to cross-functional stakeholders, on your functional area


• Process optimization: Identify tool issues, define technical requirements for Engineering, and drive user testing for new features and advancements

You have:

• 3+ years of experience in product data labeling operations within the autonomous driving industry (or a degree from a top-tier institute)


• Hands-on expertise in ML data annotation, including developing labeling policies, managing "Human-in-the-Loop" programs, and analyzing quality outcomes


• Deep understanding of ML development and evaluation, specifically regarding dataset quality assurance, bias detection, and statistical performance metrics


• Ability to learn, quickly master new concepts and proprietary software tools. Knowledge of US driving rules and regulations is an added advantage


• Strong interpersonal and communication skills to effectively collaborate across diverse teams in a fast-paced environment

We prefer:

• Hands on experience of managing data annotation or driving data analysis for an autonomous driving company


• Demonstrated strong execution with ability to drive outcomes 


• Basic SQL querying and other analytics tools


• Competency in LLM / AI based agentification of process and / or ML for robotics domain experience


• A greater focus on using your subject matter expertise for results analysis and direct customer consultation in the development of new and improved solutions