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