Risk Management Lead

<div class="content-intro"><p><span style="font-weight: 400; font-size: 12pt;">May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. </span></p> <p><span style="font-size: 12pt;"><span style="font-weight: 400;">Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces.</span><span style="font-weight: 400;"> </span><span style="font-weight: 400;">Since our founding in 2017, we’ve given more than 300,000 autonomy-enabled rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.</span></span></p></div><p><span style="font-size: 12pt;"><strong>Job Summary</strong></span></p> <p><span style="font-size: 12pt;">The Risk Management Lead for Autonomous Vehicles is accountable for defining, implementing, and directing the comprehensive risk management strategy for autonomous driving systems, spanning the entire lifecycle from conceptualization through deployment and ongoing operation.</span></p> <p><span style="font-size: 12pt;">This position mandates the proactive identification, rigorous assessment, and systematic management of safety, technical, regulatory, AI/ML, and operational risks across hardware, software, AI, and vehicle integration domains. The role necessitates close collaboration with Systems Engineering, Safety, AI/ML, Product, Legal, Compliance, and Operations teams to facilitate informed decision-making and ensure secure deployment.</span></p> <p><span style="font-size: 12pt;"><strong>Essential Responsibilities</strong></span></p> <p><span style="font-size: 12pt;"><strong>Risk Framework and Governance</strong></span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Develop and maintain the autonomous vehicle risk management framework, ensuring alignment with system safety standards and the product lifecycle process.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Establish a comprehensive risk taxonomy encompassing functional safety, Safety of the Intended Functionality (SOTIF), AI/ML uncertainty, cybersecurity, regulatory compliance, operational hazards, and reputational exposures.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Define standardized risk scoring methodologies, acceptance criteria, formal escalation pathways, and designated decision authority levels.</span></li> </ul> <p><span style="font-size: 12pt;"><strong>Safety and Technical Risk</strong></span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Direct the identification and assessment of risks pertaining to:</span></li> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Perception, prediction, planning, and vehicle control systems.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Sensor performance characteristics, redundancy provisions, degradation modes, and failure mechanisms.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">AI/ML limitations, operational edge cases, and inherent uncertainty.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Human-machine interaction, potential misuse, and operational assumptions.</span></li> </ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Liaise with System Safety teams to ensure adheren ... (truncated, view full listing at source)