Senior Product Manager, Autonomous Vehicle Safety, Global Road Safety

About the role

Amazon is building disruptive autonomous vehicle technology with the vision of creating the safest autonomous delivery operations in the world. This role involves defining safety requirements and building mechanisms with autonomous vehicle engineering teams to ensure safety is built into every aspect of product design.

Responsibilities

• Develop comprehensive safety requirements for autonomous delivery vehicles across all operational scenarios including navigation, obstacle detection and avoidance, pedestrian interaction, vehicle-to-vehicle communication, and emergency response protocols.
• Define and own the autonomous vehicle safety requirements roadmap and strategy – establish safety standards, testing protocols, validation mechanisms, and continuous monitoring frameworks for autonomous systems.
• Create mechanisms with autonomous vehicle engineering teams to embed safety into product design, from concept through deployment. Create safety review processes, design guidelines, testing frameworks, and safety validation checkpoints.
• Write and present compelling business cases (backed by strong research and autonomous vehicle safety data analysis) for safety mechanism investments in partnership with all stakeholder teams.
• Partner with Tech, Robotics, Engineering, Operations, Safety, Compliance, and Legal teams to design safety-first autonomous vehicle experiences that protect pedestrians, other road users, and property while enabling innovative delivery solutions.
• Own end-to-end safety requirement development from initial concept to operational deployment – write safety requirement specifications, establish testing and validation protocols, monitor implementation, and ensure delivery meets rigorous safety standards.
• Monitor and report on autonomous vehicle safety metrics and KPIs to senior leadership across Amazon – track safety incidents, near-miss events, system performance against safety requirements, and demonstrate continuous safety improvements.
• Ensure compliance with Department of Transportation (DOT), National Highway Traffic Safety Administration (NHTSA), Federal Motor Carrier Safety Administration (FMCSA), and other regulatory requirements while staying ahead of evolving autonomous vehicle safety regulations and standards.
• Drive adoption of safety mechanisms and best practices across autonomous vehicle engineering teams. Ensure that safety requirements are effectively integrated into design, development, testing, and deployment processes.
• Establish safety testing and validation frameworks including simulation testing, closed-course testing, and real-world pilot testing protocols that demonstrate safety before scaling operations.
• Manage complex, multi-stakeholder safety programs with compressed timelines. Find creative approaches to meet deadlines while never compromising on safety standards.
• Create clear, effective written communication to present safety requirements, decision points, or data-based arguments that enable delivering on autonomous vehicle safety goals. Communicate to diverse audiences ranging from robotics engineers to senior leadership.

Qualifications

• Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
• 7+ years of product management experience including partnering closely with engineering, robotics, or autonomous systems teams
• Experience building and launching complex products involving varied stakeholders and leaders across multiple organizations.
• Track record of working on safety-critical, regulated, or compliance-driven products, preferably in autonomous systems, robotics, or transportation.
• Strong analytical skills and data-driven decision making – ability to analyze safety data, develop safety metrics, and evaluate system performance against safety requirements.
• Demonstrated ability to drive partnerships, lead initiatives and independently manage large, complex projects in fast-paced environments.
• Understanding of machine learning safety validation and testing methodologies.
• Bachelor's degree in Engineering, Computer Science, Robotics, or related technical field.

Preferred Qualifications

• Advanced technical degree preferred.
• Experience with autonomous vehicle technology, robotics systems, or Advanced Driver Assistance Systems (ADAS).
• Background in functional safety standards (ISO, UL, SOTIF) or safety-critical system design.
• Product management experience with IoT devices, sensor systems, perception systems, or autonomous navigation technology.
• Experience working with regulatory bodies (DOT, NHTSA, FMCSA) or autonomous vehicle safety standards organizations.
• Knowledge of ROS, robotics frameworks, or autonomous system architectures.
• Track record of launching safety-critical products at scale that demonstrably improved safety outcomes.
• Advanced data analysis skills including SQL, Python, Excel, and business intelligence tools.
• Experience with simulation and testing frameworks for autonomous systems.