Technical Product Operations Manager

General Motors develops advanced driver-assistance and autonomous vehicle technologies, including data products, simulation, testing, and machine learning datasets. The Technical Product Operations Manager will own critical data products and workflows for simulation and test issue management, improve taxonomy and data quality, develop metrics and analyses, and drive scalable operational processes across cross-functional teams.

Responsibilities:

• Own the data product that supports simulation and test issue management, ensuring it remains accurate, scalable, and aligned to protocol execution needs
• Maintain, and evolve issue categories to ensure consistent interpretation and high-quality protocol data through close collaboration with simulation partners
• Identify gaps, refine issue definitions, and ensure consistent application of taxonomy items across teams and workflows
• Support the creation of metrics, dashboards, and analyses that surface trends and inform prioritization and decision-making
• Contribute to adjacent data products and pilot initiatives, flexing across SEO’s portfolio to enhance operational excellence and data reliability
• Identify and drive opportunities for process improvements that make simulation/test issue workflows more scalable, efficient, and resilient as the AV software stack evolves

Requirements:

• • 3+ years of experience in consulting, finance, business operations, tech startups, or similarly analytical and strategic environments
• Bachelor's degree in a relevant field or equivalent practical experience
• Experience contributing to strategies and solutions within a complex, rapidly evolving domain, ideally involving data products, operational workflows, or AV‑related systems
• Strong communication skills, including the ability to craft clear summaries, present insights, and communicate recommendations to senior stakeholders
• Demonstrated analytical rigor, with experience posing data‑driven questions, conducting insightful analysis, and developing or improving metrics and KPIs
• Experience collaborating across teams with differing priorities, helping drive clarity, shared understanding, and forward progress
• Comfort switching between strategic thinking and hands‑on execution, adapting to evolving needs with sound judgment and EQ
• Willingness to ask hard questions, challenge assumptions, and surface inconsistencies to improve data quality and operational clarity
• Familiarity with SQL
• GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc)
• 5+ years of experience in consulting, finance, business operations, tech startups, or similarly analytical and strategic environments
• Proficiency in SQL and Python for data querying and analysis
• Experience supporting ADAS, autonomy, robotics, or complex simulation systems
• Familiarity with machine learning data operations, including labeling workflows, test quality frameworks, or quality control processes
• Experience managing or working closely with offshore vendors or external partners, including day‑to‑day operational coordination
• Comfort acting as a product owner for internal tools, including documenting requirements, prioritizing asks, and influencing roadmaps
• Experience designing forward‑looking strategies within complex, rapidly evolving technical ecosystems—or a strong passion for self‑driving technology and its transformative potential