Blue Planet AI Product Manager focusing on AI adoption and operational transformation for service providers. Driving product strategies and customer engagements to enhance AI capabilities.
About the role
- Lead Product Manager overseeing the strategy and execution of Waabi's autonomy stack for autonomous vehicles. Collaborate with diverse teams to ensure alignment with commercial objectives and technical milestones.
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.
- 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.
Benefits
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
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