Engineering Manager for Prediction - Behavior Team

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 their innovative Multi-Policy Decision Making (MPDM) technology, reimagining how AVs think.

Our vehicles do more than just drive—they provide value to communities, bridge public transit gaps, and move people safely, easily, and with fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access, and fostering green, vibrant, and livable spaces. Since 2017, we’ve given over 500,000 autonomous rides to real people globally.

Job Summary

As the Engineering Manager for Prediction within the Behavior team, you will drive the strategic direction and execution of trajectory and intent prediction systems. Leading a team of specialized engineers, you’ll bridge machine learning and classical robotics architectures to build multi-agent prediction capabilities for our MPDM platform. This role involves cross-functional collaboration with autonomy, infrastructure, and remote operations teams to ensure robust safety integration, technical excellence, and scalable talent development.

Essential Responsibilities

• Guide the evolution of intent and prediction architectures, balancing classical robotics with data-driven machine learning approaches.
• Partner cross-functionally with Behavior, Modeling, Perception, and Remote Assistance teams to maintain long-term architectural roadmaps and align deliverables with leadership strategy.
• Integrate safety metrics, risk assessments, and Operational Design Domain (ODD) requirements into team delivery and testing milestones.
• Collaborate with infrastructure and tooling teams to accelerate iteration cycles.
• Incorporate Root Cause Analyses (RCAs) into the team’s backlog and provide engineering escalation support for field issues requiring deep domain expertise.
• Enforce rigorous code quality standards and design reviews, ensuring complete engineering ownership of deliverables.
• Grow, onboard, mentor, and continuously develop engineering talent through internal development and external hiring.

Qualifications and Experience

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

Required

• 5+ years experience in management of technical teams or leading technical project teams.
• Bachelor’s Degree in a relevant technical field (Robotics, Computer Science, Mechanical Engineering, etc.).
• Strong leadership skills and ability to lead and manage a team of 5+ people.
• Ability to mentor technical team members and grow their technical and interpersonal skills.
• Experience working cross-functionally with other engineering teams, operations, and external partners.
• Experience delivering projects with high uncertainty on time.
• Strong verbal and written communication skills, with the ability to communicate complex technical topics to both technical and non-technical audiences.
• Data-driven and able to drive creation and maintenance of metrics/KPIs that measure progress for your team.
• Advanced knowledge of Jira and Jira reporting and dashboards.
• Proficiency with BI tools (e.g., AWS QuickSight, Tableau) for building operational dashboards and reporting that scale with fleet growth.

Desirable

• 7+ years experience in management of technical teams or leading technical project teams.
• Master’s or other advanced degree in a relevant technical field (Robotics, Computer Science, Mechanical Engineering, etc.).
• Ability to critically interpret large-scale fleet data and insights to validate problem framing and drive informed decision-making.
• Experience with autonomous vehicles or other robotic platforms deployed in commercial settings.
• Experience with start-ups and scaling an organization.

Physical Requirements

• Standard office working conditions, including prolonged sitting, standing, and computer use.
• Travel required: Moderate: 11%-25%.

REMOTE or HYBRID role based out of Ann Arbor, MI

• Hybrid employees work remotely from home or an alternative workspace, with 2 to 3 days per week in office.
• Remote employees work primarily from home or an alternative workspace.