Lead Product Manager, Autonomy

- 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.

- 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.