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General Motors LLC is seeking a Product Management Intern to join the Vehicle Autonomy team for a summer internship. You will support PMs across initiatives ranging from current products to foundational platforms enabling autonomy experiences.
Intern will learn how high‑impact products are identified, evaluated, and iterated in a fast, collaborative environment, partnering with product, engineering, design, data, and program management teams.
Why join us? General Motors is working toward a future with zero crashes, zero emissions, and zero congestion. Vehicle Autonomy is an important part of that vision, helping create safer, more capable, and more seamless experiences for customers. Our Product Management teams connect customer needs, business priorities, technology, and execution. We work across current and future autonomy products as well as the underlying software and platform capabilities that support GM’s vehicle autonomy roadmap. As a Product Management Intern, you will gain hands-on experience in a fast-moving, cross-functional environment while contributing to work that supports the future of transportation.
We are looking for a motivated student to join the Vehicle Autonomy Product Management organization for a summer internship. The intern will support product managers and partner teams across a range of initiatives, which may include current products, future product concepts, and foundational platforms that enable autonomy experiences. The specific project will be aligned to business needs, the intern’s interests, and the skills they bring to the team. This is an opportunity to learn how high impact products are identified, evaluated, and iterated throughout the development cycle. A successful candidate is curious, organized, comfortable learning new technical concepts, and eager to collaborate with people across product, engineering, design, data, program management, and other partner teams.
Opportunities may include the following:
Currently enrolled in a Master’s or MBA degree program with a focus in engineering, computer science, data science, human‑computer interaction, or a related field with a planned graduation date between December 2027 through August 2028. Interest in product management, vehicle autonomy, advanced driver assistance systems, automotive technology, robotics, or emerging mobility experiences. Strong analytical, organizational, and problem‑solving skills. Clear written and verbal communication skills, including the ability to summarize complex information and present proposals to stakeholders. Ability to collaborate effectively with teammates from different technical and professional backgrounds. Experience working on a team project with ambiguous or evolving requirements. Curiosity and willingness to learn & share new concepts.
This internship is intended to provide meaningful work experience and development opportunities while supporting GM’s Vehicle Autonomy roadmap. Project assignments and responsibilities may vary based on organizational priorities and the intern’s background.
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. The salary range for this role is $9,400-$11,100 per month. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. GM will provide a one‑time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program - to help facilitate administration of relocation benefits, please apply using the permanent address you would move from.
Start dates for this internship role are May 24th and June 14th of 2027. Assignments will be based on team placement to ensure interns are located with their working team and leader. Hybrid : This role is categorized as hybrid. This means the successful candidate is expected to report to their designated work location three times per week, at minimum.
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