​​AI Program Manager Intern​

Mercedes-Benz R&D North AmericaSan Jose, CA

About The Position

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.

Requirements

  • 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.
  • Valid US Driver's License.

Nice To Haves

  • 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.

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.

Benefits

  • PTO
  • Sick Time
  • 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
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