Waymo’s Product Management Team is a mission-driven team responsible for writing and enacting first-of-their-kind playbooks to bring fully autonomous driving technology to market. Our team develops simple solutions for complex problems by orchestrating cross-functional efforts to safely drive Waymo’s technology and the products it enables forward. We do this by understanding the customer, the business, and the technology. We are humble about the scope of our work, collaborative in our approach to problem-solving, and ambitious about our vision for the future. 

This role follows a hybrid work schedule and reports and you will report to a Director of Product Management.

You will:

• Define and champion the product vision, strategy, and roadmap for Perception ML Training workflows, focusing on data extraction, data transformation and preparation, and intelligent data mining and selection for large model training and evaluation
• Deeply understand the needs, pain points, and opportunities of Perception ML engineers and researchers, translating these insights into clear platform requirements, features, and priorities
• Lead the end-to-end product lifecycle for key platform components, from ideation and requirements definition through launch and iteration, ensuring a seamless experience for our internal users
• Drive initiatives to demonstrably accelerate ML model development velocity, improve data quality and accessibility, and ultimately enhance onboard model performance through platform innovations
• Collaborate closely with world-class Engineering, Research, and ML Platform teams to deliver impactful solutions, define and track success metrics, and ensure tight alignment with Waymo's overall goals

You have:

• A Bachelor's degree in a technical field such as Computer Science, Mathematics, or Engineering, or equivalent practical experience
• 4+ years of Product Management experience, with a proven track record of defining, launching, and scaling complex technical products
• A strong understanding of machine learning workflows, data pipelines, and the common challenges faced in developing and deploying ML models at scale
• Demonstrated ability to translate complex user needs and technical details into clear product specifications and to partner effectively with engineering teams on execution
• Excellent problem-solving, analytical, communication, and interpersonal skills, with the ability to influence and align cross-functional teams and stakeholders

We prefer:

• Hands-on experience with large-scale data infrastructure (e.g. data lakes, feature stores), distributed data mining and processing frameworks, and large transformer model training workflows
• Direct product management experience with advanced data mining/sampling techniques and training dataset curation
• Familiarity with concepts in active learning, semi-supervised learning, outlier detection, or hard example mining
• Experience in the autonomous vehicles industry, robotics, or other domains with complex safety-critical real-world AI/ML applications