--- title: 'Senior Autonomy Technical Release Manager at May Mobility' canonical: 'https://feeny.ai/job/senior-autonomy-technical-release-manager-may-mobility-ann-arbor-pzrr29qf1yqp' type: 'job' last_seen: '2026-09-11' --- # Senior Autonomy Technical Release Manager at May Mobility - **Company:** May Mobility - **Location:** Ann Arbor, MI - **Compensation:** $152k–$170k - **Work type:** hybrid - **Posted:** 2026-09-03 - **Last confirmed live:** 2026-09-11 - **Apply:** https://job-boards.greenhouse.io/maymobility/jobs/8753239002 ## Job description 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 Senior Autonomy Technical Release Manager is responsible for driving the coordination and execution of software releases across cross-functional engineering, validation, safety, DevOps, and deployment teams, and for leading post-release incident response. This role serves as the central point of accountability for release readiness — ensuring that deliverables stay aligned on scope, timing, and readiness — and for production issues, ensuring they are driven to containment and resolution with clear ownership and follow-through, and translated into durable improvements in the release process. The role focuses primarily on non-core autonomy deliverables and cross-functional coordination, with direct ownership of post-release incident tracking through containment and resolution. Essential Responsibilities - Lead end-to-end release coordination and autonomy engineering release management, tracking deliverables across cross-functional teams and ensuring alignment with the release plan, timeline, and quality bar. Build the tools and processes needed to identify risks and coordinate on-time, high-quality product delivery, and provide regular status updates on release, project, and program progress and risks. - Facilitate cross-functional collaboration among autonomy, engineering, test and validation, safety, DevOps, product, customer operations, finance, and strategy stakeholders, maintaining clear alignment on scope, dependencies, timing, and release readiness. Consolidate input from autonomy, engineering, safety, legal, and business teams to produce and distribute project work plans, Requests for Procurement, Statements of Work, Program Plans, and Gantt charts, leading the team with ownership of duties along with follow-up and corrections as needed. - Drive production incident management, ensuring the appropriate teams are engaged, impact is assessed and clearly communicated, and remediation actions are tracked through to resolution. Coordinate and communicate effectively between development and production teams throughout. - Own the hotfix and commercial fix release lanes, directing urgent mitigation and corrective releases for production issues in a controlled and auditable manner. Proactively remove obstacles to drive momentum and progress, identify gaps in communication or schedule, and support teams balancing competing priorities to drive results. - Establish and maintain a closed-loop improvement process in which production incidents and root cause analysis outcomes inform future release planning, validation coverage, and process refinement. Understand technical implementation at the architectural level, propose alternatives when necessary, ask questions that clarify priorities, and identify opportunities for process efficiency. - Build and maintain relationships with May Mobility's partners and internal stakeholders, understand their needs, and drive alignment with May Mobility's product vision and release objectives. ## Skills and Abilities Success in this role typically requires the following competencies: - Proven ability to lead complex, multi-team release programs end-to-end, including planning, risk identification, dependency management, and tracking deliverables to on-time, high-quality delivery across engineering, validation, safety, DevOps, and deployment functions. - Strong incident and emergency-response judgment, with demonstrated experience driving production incident management and hotfix/emergency release workflows — engaging the right stakeholders, communicating impact clearly, and tracking remediation through to resolution in a controlled, auditable manner. - Excellent cross-functional communication and facilitation skills, with the ability to translate technical concepts for both technical and non-technical audiences, consolidate input from diverse stakeholders (autonomy, engineering, safety, legal, business), and produce clear program artifacts such as work plans, SOWs, and Gantt charts. - Technical fluency at the architectural level, combined with a systems-thinking mindset — able to ask the right clarifying questions, propose alternatives, identify process inefficiencies, and establish closed-loop improvement processes that translate incident learnings into stronger future releases. ## Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required Qualifications: - Bachelor's degree or equivalent experience. Engineering, Computer Science or another highly technical degree preferred - A minimum of 2+ years of prior experience as an engineer or other highly technical area. - A minimum of 5+ years of technical project management experience including team management, project planning, status updating, and risk management. Ideally this experience is at least partially in fast paced research and development projects. - A high level of initiative and activation. Must be able to enthusiastically take on challenges, including those peripheral to core responsibilities when needed for project success. - Ability to clarify and document fuzzy requirements and challenges such that a project team can efficiently and effectively solve problems. - An ability to clearly and concisely communicate technical concepts including root cause analysis, technical challenges and their solutions, and results backed by data. - An ability to communicate effectively with both technical and non-technical people and teams. - Understanding of software and hardware development life cycles, integration processes, and test/validation complexity Physical Requirements - Standard office working conditions which includes but not limited to: - Prolonged sitting - Prolonged standing - Prolonged computer use - Travel Required?  Minimal: 1%-10% ## Benefits and Perks - Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. - Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. - Rich retirement benefits, including an immediately vested employer safe harbor match. - Generous paid parental leave as well as a phased return to work. - Flexible vacation policy in addition to paid company holidays. - Total Wellness Program providing numerous resources for overall wellbeing Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our [website](https://maymobility.com/careers/)! May Mobility is an equal opportunity employer.  All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis.   Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary.  Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners. Salary Range $152,000—$170,000 USD May Mobility uses automated tools to support — but not replace — human judgment in our recruiting process, to find out more please click [here](https://drive.google.com/file/d/1eGgErDdZ99HVoyxBrVpVUjhdUcmKogki/view?usp=drive_link) ## About May Mobility ## Company Overview - **One-liner**: May Mobility develops and deploys autonomous vehicle (AV) shuttle and robotaxi services powered by its proprietary Multi-Policy Decision Making (MPDM) AI system to provide safer, greener, and more accessible transit. - **Entity Type**: Private (Series-stage not confirmed; total funding $392.6M across 12 rounds) - **Headquarters**: Ann Arbor, Michigan, United States - **Founded**: 2017 - **Founders**: Dr. Edwin Olson, Alisyn Malek, Steve Vozar ## Core Business - **Primary industry**: Urban Transit Services / Autonomous Vehicle Technology - **Target customers**: B2G (municipalities, transit agencies), B2B (ride-hail partners like Uber and Lyft, enterprise fleets), and B2C (direct rider services) - **Mission**: “To reimagine transportation by developing and deploying autonomous vehicles that get people where they need to go safely, easily and with a lot more fun.” ## Products & Services - **Autonomous Shuttle Services**: Deployed autonomous shuttles in multiple U.S. cities (e.g., Atlanta, Grand Rapids, Minnesota, Arlington) and Tokyo Bay, Japan. These shuttles operate on fixed or dynamic routes and have completed over 500,000 paid rides. - **Multi-Policy Decision Making (MPDM) System**: A proprietary real-time, reinforcement-learning AI algorithm that learns and reacts to new driving scenarios every 200 milliseconds, enabling safe handling of unpredictable situations without relying on pre-collected training data. - **Ride-Hail Integration**: Strategic partnerships with Uber and Lyft to deploy autonomous vehicle fleets through their respective platforms, making May Mobility vehicles available to a broader rider base. ## Market Standing - **Valuation**: Not publicly disclosed - **Key Metric** (Private company): Total funding of $392.6M (12 rounds); estimated annual revenue $59.2M (source: LinkedIn company profile) - **Notable Investors/Partners**: Toyota Motor North America (strategic partnership and investment), Y Combinator (backed in early stage), and ride-hail partners Uber and Lyft. - **Growth Signals**: - Headcount of 248 employees (+4.7% YoY) with a 38.2% quarterly increase in job postings and an 80.8% yearly increase. - Operations expanded to Japan (Tokyo Bay), Canada, India, UAE, and UK. - Recognized by Y Combinator as a Top Company (2020–2022), Forbes America’s Best Startup Employers (2023), and Frost & Sullivan 2022 North American Market Leadership Award. ## Competitive Advantages - **MPDM Technology**: Unlike rule-based or purely trained-data approaches, MPDM runs endless real-time on-board simulations and learns while driving, making it more adaptable to edge cases and reducing deployment cost and time. - **Safety-First Design**: Combined sensor suite and MPDM platform monitor road and simulate hazards faster and more reliably than competitors, with safety as the top priority. - **Established Real-World Deployments**: Over 500,000 autonomous rides given; partnerships with major ride-hail players (Uber, Lyft) and Toyota signal strong commercial traction. - **Cost Efficiency**: The company claims its system enables AV deployment at “a fraction of the cost and time” compared to traditional approaches. ## Strategic Focus - **Scaling Deployments**: Expanding from current U.S. and Japanese bases into more international markets through partnerships with transit agencies and ride-hail platforms. - **Deepening Technology**: Continuing to advance MPDM, machine learning inference optimization, and edge deployment for AVs, as evidenced by active job postings for ML engineers working on GPU acceleration, TensorRT, and NVIDIA DRIVE OS. - **Partnership Ecosystem**: Leveraging relationships with Toyota, Uber, and Lyft to integrate May Mobility’s AVs into broader mobility networks. - **Talent Acquisition**: Aggressively hiring across engineering, autonomy, and operations (47 active postings as of mid-2026) to support growth and R&D. ## Why Work Here - **Culture & Values**: Emphasis on “Bring your whole self to work,” inclusivity (mayID Inclusion & Diversity group), and four core values: Drive With Purpose, Consider the Bigger Picture, Do What’s Right, Value Personal Relationships. - **Flexibility**: Remote/hybrid option with core hours 10am–4pm EST; monthly stipend for Wi-Fi and cell; home office setup stipend for new hires. - **Work-Life Balance**: Flexible unlimited vacation + 15 paid company holidays; generous paid parental leave with phased return-to-work and weekly meal reimbursement. - **Compensation**: Competitive salaries (e.g., ML Engineer II posted at $180,000–$210,000 USD); equity (stock option program); 401(k) matching up to 4%. - **Health & Wellness**: Company-paid medical, dental, vision (including HSA/FSA); life and disability plans; Total Wellness Program covering mental, physical, and financial well-being. - **Community & Events**: Annual in-person gatherings at Ann Arbor HQ; regular virtual and IRL team events; employee resource groups. - **Impact**: Directly improving community mobility and reducing congestion; work is deployed in real-world environments with measurable outcomes. ## Sources 1. [maymobility.com/about](https://maymobility.com/meet-may/) 2. [maymobility.com/careers](https://maymobility.com/careers/) 3. [linkedin.com/company/maymobility](https://www.linkedin.com/company/maymobility) 4. [job-boards.greenhouse.io/maymobility](https://job-boards.greenhouse.io/maymobility/jobs/8502419002) ## Other roles at May Mobility - [Senior Autonomy Technical Project Manager](https://feeny.ai/job/senior-autonomy-technical-project-manager-may-mobility-ann-arbor-ccctewcfc9az) — Ann Arbor, MI - [Senior Manager, Quality Systems](https://feeny.ai/job/senior-manager-quality-systems-may-mobility-united-states-23m8nnsh5xnp) — United States - [Site Operations Manager II](https://feeny.ai/job/site-operations-manager-ii-may-mobility-arlington-53mjvahs8e8e) — Arlington, VA - [Autonomous Vehicle Operations Specialist II](https://feeny.ai/job/autonomous-vehicle-operations-specialist-ii-may-mobility-arlington-0raxgp7g1ybc) — Arlington, VA - [Senior Autonomous Vehicle Operations Specialist](https://feeny.ai/job/senior-autonomous-vehicle-operations-specialist-may-mobility-arlington-vazvtyryjn5j) — Arlington, VA - [Autonomous Vehicle Operations Specialist](https://feeny.ai/job/autonomous-vehicle-operations-specialist-may-mobility-atlanta-he5zts2saahj) — Atlanta, GA - [Senior Accountant](https://feeny.ai/job/senior-accountant-may-mobility-ann-arbor-4p65ybymr8fc) — Ann Arbor, MI - [Autonomous Vehicle Operations Specialist](https://feeny.ai/job/autonomous-vehicle-operations-specialist-may-mobility-grand-rapids-1w8qz149mgxe) — Grand Rapids, MN - [Robotics Engineer II](https://feeny.ai/job/robotics-engineer-ii-may-mobility-ann-arbor-n3j82kvrp1yq) — Ann Arbor, MI - [Senior Systems Engineer - Sensor Selection](https://feeny.ai/job/senior-systems-engineer-sensor-selection-may-mobility-ann-arbor-cj9bnapv6vw9) — Ann Arbor, MI