Site Autonomy Manager

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. 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. Since our founding in 2017, we’ve given more than 500,000 autonomous 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. Job Summary The Site Autonomy Manager’s primary role is to oversee and support the operational fleet in their respective site location and provide multi-site support as needed. In addition to hands-on technical responsibilities, the SAM will be responsible for training new SAEs, interviewing SAE candidates, escalating critical issues to senior management, and providing on-site support across multiple locations when required. This role combines technical expertise with leadership and cross-functional collaboration to ensure operational success and safety. Essential Responsibilities Coordinates and implements vehicle upfits to support fleet upgrades and initiatives Debugs electrical and mechanical issues on the vehicles  Executes on-site sensor calibrations Executes on-site testing of feature improvements Performs preventative maintenance on May vehicles  Records issues found and resolutions, escalating in proper channels as necessary Assists in testing the autonomous operation of the vehicle to ensure it follows May’s standards for safety and rider comfort  Implements hardware changes in the field, ensuring safe operation for return to service Communicates issues and successes to the engineering team, and drives resolution Perform data acquisition by utilizing vehicle sensor suite Coordinates and develops the on-site configuration and deployment of autonomous technology in designated locations Build and maintain local May Mobility mapping assets Assist in fleet cleanliness and demo readiness Training and Mentorship: Lead the onboarding and training process for new Site Autonomy Engineers (SAEs), ensuring they acquire the necessary technical and operational skills. Develop and maintain training materials and programs in collaboration with the Learning & Development team. Act as a mentor to SAEs, supporting their professional growth and development. Multi-Site Support: Provide technical and operational support to multiple site locations as needed. Assist in ensuring consistent operations and best practices across all locations. Act as the point of contact for multi-site coordination and deployment needs. Issue Escalation: Monitor and address operational challenges, escalating critical issues to senior management in a timely and organized manner. Provide detailed reports on escalated issues, including resolution steps and potential preventative measures. Travel and On-Site Support: Travel to various site locations to provide hands-on technical support and leadership. Act as an on-site representative for major launches, upgrades, and critical operational needs. Leadership and Collaboration: Collaborate with cross-functional teams, including engineering, operations, and senior leadership, to improve processes and resolve complex issues. Support the development and implementation of fleet-wide initiatives. Interviewing SAE Candidates: Participate in the recruitment process for new SAE candidates. Conduct technical and behavioral interviews to evaluate candidate qualifications. Provide feedback to the hiring team, contributing to hiring decisions and team composition. Skills and Abilities Success in this role typically requires the following competencies: Impeccable discretion and integrity when handling confidential or sensitive information Ability to understand and relate to the agile startup and engineering mindset Excellent written, verbal, and presentation skills Strong attention to detail and highly-organized Ability to multitask and adapt to shifting priorities in a fast-paced work environment Passionate about self-driving cars and their impact on the world Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required 3 years of working experience Proven ability to manage and prio