Senior Manager Embodied AI

Description We are seeking an experienced and technically strong Senior Engineering Manager - AI/ML Engineering for the Data Foundations organization of Embodied AI. This role emphasizes day-to-day people management, technical guidance, and effective execution. You will contribute to the future of Autonomous Vehicle (AV) development by helping drive the vision and operational excellence of the data flywheel that continuously improves GM's Foundation AV model performance. You will manage AI/ML Engineers, support their career growth, and guide the team's technical direction. In this role, you will collaborate closely with partner teams across the organization, help define best practices for engineering execution, and contribute to building and sustaining a high-impact, high-performance team. What You'll Do: - Manage a team of AI/ML engineers building and scaling the Data Flywheel at GM. - Raise the engineering bar of the team: set best practices, give feedback, and provide mentorship to direct reports. - Drive the technical vision for aspects of Data Foundations at GM, working with senior leaders and members of your team. - Define the project roadmap, set development priorities, and align the team's work with company objectives and product milestones. - Collaborate cross-functionally with teams involved in AV model development and validation and ensure we meet organizational goals, product requirements and scaling needs. - Promote a collaborative, inclusive, and high-performance team culture, and champion the GM engineering values and principles. What You Must Have: - BS, MS, or PhD in Robotics, Computer Science, Engineering, or a related technical field. - Proven experience managing and scaling high-performing engineering teams with a focus on operational excellence. - Demonstrated ability to inspire and motivate teams, drive best practices, and deliver continuous improvement. - Track record delivering scalable software solutions to a production environment using Python. - Proven experience in solving data scaling challenges, ranging from data diversity, data quality and building best practices to incorporate multiple data sources in large models. - Excellent communication, collaboration, and mentoring abilities, with a passion for driving innovation in autonomous technology. - Strong organizational, communication, and people leadership skills.