Lead Product Manager, Autonomy
TECHNICAL STACK · 1 TAGS
OVERVIEW
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 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.
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.
REQUIREMENTS
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. The US yearly salary range for this role is: $165,000 - $260,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
QUESTIONS AND ANSWERS
- How much does the Lead Product Manager, Autonomy at Waabi pay?
- The posting lists a range of $165K–$260K per year. Ranges reflect what Waabi publicly declared on the source posting.
- Where is this Lead Product Manager, Autonomy role based?
- The role is based in San Francisco, CA.
- What experience does Waabi expect for this role?
- The posting is tagged as a lead-level role, typically 7+ years of experience. Check the requirements section for specifics.
- Where is Waabi headquartered?
- Waabi is headquartered in Toronto, Canada.
- How was this posting sourced?
- This role was pulled directly from Waabi's Lever careers site. Apply links open in the employer's own ATS — no reposts or aggregator middleware.
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