Autonomy Engineering Manager - Behavior Prediction and Intent

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 As the Engineering Manager for Prediction within the Behavior team, you will drive the strategic direction and execution of our trajectory and intent prediction systems. Leading a team of specialized engineers, you will bridge machine learning and classical robotics architectures to build multi-agent prediction capabilities for our Multi-Policy Decision Making (MPDM) platform. In this role, you will partner cross-functionally across autonomy, infrastructure, and remote operations 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 when field issues require 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 both 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 inter-personal skills • Experience working on 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 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 tec