Lead Product Manager, Autonomy

We are seeking a Lead Product Manager to lead the strategy and execution of the core autonomy stack that powers the Waabi Driver. This role is central to the success of the business and requires a leader who can bridge the gap between cutting-edge AI research and real-world commercial requirements. You will provide focused ownership and coordination across teams ensuring that autonomy efforts are aligned with both technical milestones and driverless launch objectives. You will bring the strategic depth and execution rigor needed to manage complexity at this scale turning advanced autonomy capabilities into a reliable commercial product.

You Will...

- Define develop and execute the Autonomy roadmap aligning core driving capabilities with the companys 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.

Qualifications:

- 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.

Bonus:

- 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.