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The Scaled Engineering Operations (SEO) team at General Motors applies human intelligence to complex problems in autonomous vehicle development. Working with Engineering, Product Management, and Business teams, it develops and improves products that support GM’s ADAS technology, including annotated datasets for machine learning and Pareto development, strategic test creation and management, and structured reviews of critical events and simulations to assess vehicle performance on-road and in simulation. The Technical Product Operations Manager oversees data products that support rapid, efficient, and safe autonomy operations, with a focus on GM’s simulation and testing environment. This is a high-impact individual contributor role that owns critical workflows end to end, influences team practices, and combines operational leadership, analytical rigor, and technical depth. The role sets quality standards, guides and mentors peers through influence, and may take on additional leadership scope as the organization grows. Depending on background and business needs, the work may emphasize simulation and test quality, issue taxonomy and analysis, or large-scale labeling operations. The position combines operational ownership, program leadership, and technical problem-solving to improve quality, scalability, and trust across core systems. It helps define, measure, and operationalize data, tests, and issues, influencing the speed, safety, and reliability of advanced vehicle systems. GM lists a base salary range of $83,800–$163,400, with the actual offer varying based on factors relevant to the position. The role is eligible for incentive pay based on company performance, job level, and individual performance. GM offers health and wellbeing programs and other benefits. GM does not provide immigration-related sponsorship for this role.
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Job Type
Full-time
Career Level
Mid Level

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