Lead Product Manager, Autonomy

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. We are seeking a Lead Product Manager to lead the strategy and execution of the core autonomy stack that powers the Waabi Driver, ensuring alignment with technical milestones and driverless launch objectives.

Responsibilities:

• Define, develop and execute the Autonomy roadmap, aligning core driving capabilities with the company’s driverless and commercial milestones across both the trucking and robotaxi verticals
• Drive the end-to-end product lifecycle for autonomy features by translating complex use cases into actionable requirements and establishing performance benchmarks for deploying core driving behaviors in the real world
• Lead cross-functional alignment across Engineering, Design, Research, Simulation, Systems Engineering, Safety, and Commercial teams to define product requirements, manage technical trade-offs, and develop frameworks that make autonomy performance measurable and transparent
• Analyze performance data and feedback from simulation, track, and road testing to develop a comprehensive understanding of system readiness metrics and systematically prioritize issue resolution
• Be a team player who prioritizes trust, transparency, and honesty, leading by example in a high-stakes, safety-critical environment
• Monitor key performance indicators (KPIs) such as ODD coverage, system readiness, and route viability to make data-driven decisions that accelerate commercialization

Requirements:

• Minimum of 8+ years of experience in a Product Management role, with a proven track record in autonomous vehicles, robotics, or complex AI/ML systems
• Strong analytical and problem-solving skills to resolve dependencies, inform strategic decisions, and evaluate tradeoffs between performance and safety
• Excellent communication and interpersonal skills, with significant experience drafting written strategy documents and slides to communicate complex autonomy concepts to diverse stakeholders
• Demonstrated leadership abilities, with experience driving results and cross-functional alignment in fast-paced, high-growth environments
• Exhibits exceptional empathy, fostering a deep understanding of the needs of internal engineering teams, safety drivers, and commercial partners
• Adaptable and versatile, proficient at navigating the shift from R&D-heavy environments to product-driven commercial execution
• Able to maintain progress towards long-term architectural goals while solving immediate operational hurdles
• Passion for autonomous systems, safety-critical software, and building the 'brain' of the vehicle that will redefine the future of freight
• Deep understanding of the autonomy stack (e.g. Perception, Prediction, Motion Planning, Localization) and the nuances of autonomous driving operations
• Experience defining operational boundaries and safety validation milestones to drive the successful deployment of autonomous features in complex environments
• Technical experience in autonomous vehicle development or a background in Computer Science/Robotics
• Experience working in an Agile/Scrum environment tailored for deep-tech research