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The Role
The AI Program Manager Intern will foster AI literacy, optimize workflows, and collaborate with PMs and Developers to integrate advanced AI tools.
Summary Generated by Built In
At Mercedes-Benz Research & Development North America (MBRDNA), we are committed to delivering world-class automotive technologies that push the boundaries of what is possible. Our teams of highly skilled engineers and designers use cutting-edge software and technology, to enhance the driving experience and reduce environmental impact.
The AI Program Manager Intern will bridge the gap between technical AI development and project execution. The primary purpose of this role is to drive AI literacy, optimize engineering workflows, and boost overall team productivity. You will collaborate closely with Product Managers (PMs) and Developers to integrate cutting-edge Large Language Models (LLMs) and agentic developer tools into daily operations, helping the team work smarter and faster.
This internship may commence at any point during the summer, beginning July 6, with at least a commitment until the end of the year.
Job Responsibilities:
- AI Awareness & Enablement: Research, champion, and conduct internal sessions on the latest LLM capabilities and developer tools to foster a culture of AI adoption.
- Workflow Optimization: Evaluate current development and management workflows to identify bottlenecks; propose and implement AI-driven automation solutions.
- Cross-Functional Collaboration: Serve as a liaison between PMs and Developers, ensuring technical requirements and product roadmaps align seamlessly.
- Tool Integration & Best Practices: Help teams implement advanced coding assistants and open-source protocols (like MCP) to streamline code generation, testing, and documentation.
- Project Tracking: Assist in managing sprint cycles, documentation, and progress tracking using project management software.
Minimum Qualifications:
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, Management Information Systems (MIS), or a related technical field.
- Prior experience (including internships, academic projects, or bootcamps) in software development or technical project coordination.
- Pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, or a highly related technical/analytical discipline.
- Strong foundational knowledge of modern LLMs (e.g., Claude, GPT, Gemini models) and their enterprise use cases.
- Hands-on familiarity with next-generation developer tooling (e.g., Claude Code, GitHub Copilot).
- Excellent communication and organizational skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- A proactive, problem-solving mindset with a passion for operational efficiency.
Preferred Qualifications:
- Prior professional work experience as a Software Developer or Engineer.
- Proficiency with standard agile project management and collaboration tools, specifically Jira and Confluence.
- Familiarity with the Model Context Protocol (MCP) for connecting LLMs to data sources and development environments.
- Basic scripting skills (e.g., Python) to help automate internal workflows.
Benefits/Perks:
• PTO
• Sick Time
• PTO
• Sick Time
Additional Information:
The current hourly rate for this position is as follows and may be modified in the future: $28 (Undergraduate Students)/$32 (Graduate Students)
Why should you apply?
Here at MBRDNA, you create digital ecosystems around cars, you design a language between humans and machines, you make a car even more intelligent - you make the new reality for cars. MBRDNA was honored as one of the "Best Places to Work" by BuiltIn in January 2024, a testament to our commitment to creating an exceptional work environment. At each of our offices, we foster a culture of collaboration and continuous learning, ensuring every team member can thrive and innovate.
Benefits for Full-Time* Employees Include:
• Medical, dental, and vision insurance for employees and their families
• 401(k) with employer match
• Up to 15 company-paid holidays
• Paid time off (flexible time off for salaried employees), sick time, and parental leave
• Tuition assistance program
• Wellness/Fitness reimbursement programs
* Internships & Contractors excluded from Full-Time Employee benefits
MBRDNA is an equal opportunity employer (EOE) and strongly supports diversity in the workforce. MBRDNA only accepts resumes from approved agencies who have a valid Agency Agreement on file. Please do not forward resumes to our applicant tracking system, MBRDNA employees, or send to any MBRDNA location. MBRDNA is not responsible for any fees or claims related to receipt of unsolicited resumes.
Mercedes-Benz Research and Development North America, Inc.
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https://mbrdna.com/california-employee-privacy-notice/
Skills Required
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field
- Prior experience in software development or technical project coordination
- Strong foundational knowledge of modern LLMs and their enterprise use cases
- Hands-on familiarity with next-generation developer tooling
- Excellent communication and organizational skills
- A proactive, problem-solving mindset
- Valid US Driver's License
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The Company
What We Do
Mercedes-Benz Research & Development North America (MBRDNA) is continuously striving to innovate premium mobility. It is a place for exceptional people with outstanding ideas and the absolute willingness to bring them to life. We are not about cars only - we are also about the latest and greatest software, cutting-edge technology, and groundbreaking innovation: Embedded in a worldwide network MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Costumer Research, and Open Innovation. In Redford, Michigan, the focus is on Powertrain and eDrive technology as well as in Long Beach, where the teams test durability of the latest driver assistant and telematic systems. The Digital Hub in Seattle focusses on developing a cloud architecture and building out the cloud platform for the next generation of connected car services. The Testing and Regulatory Affairs Division in Ann Arbor and the Advanced Vehicle Design in Carlsbad complete the competence center.
