Product Manager MBA Intern, Enterprise AI
NVIDIA
About the Role
NVIDIA is seeking a Product Management MBA Intern for NVIDIA IT to build the next generation of Agentic AI Products and Platforms. These platforms will be central to how NVIDIA adopts AI internally, improves productivity, and accelerates business outcomes.
Key Responsibilities
- Collaborate with internal partners to understand and prioritize product requirements.
- Translate needs into clear product vision, roadmap, and actionable user stories.
- Tackle sophisticated, technical problems with creative solutions while managing competing tradeoffs.
- Conduct user research, analyze problems, and present actionable insights to senior leadership.
- Conduct compelling, data-based arguments to convince others and generate progress with meaningful results.
- Bring user-centric perspectives to discussions about product, establish and articulate design strategy and end-to-end product experience.
Requirements & Tech Stack
- Currently pursuing an MBA with relevant experience and graduating in December 2027 or May/June 2028.
- BS or MS degree in Computer Science or a related engineering field.
- Some experience shipping either customer-facing or employee-facing products by working with engineers, designers, and data scientists, resulting in significant business impact.
- Demonstrated hands-on product management and related expertise involving AI, Machine Learning, generative AI, traditional deep learning, and statistical machine learning.
- Outstanding communication skills.
- Excellent problem-solving skills.
Qualifications That Stand Out
- Engineering and design background with the ability to do hands-on prototyping, create product design mock-ups, and ability to vibe code.
- Ability to thrive and succeed in a fast-paced environment, not be hindered by ambiguity or multiple priorities, and set clear actionable goals.
- Demonstrated outstanding organization skills.
- Attention to detail in writing product specifications.
- Excellent writing skills to publish case studies and papers.
- Hands-on expertise and understanding of NVIDIA software strategy & products.
- Familiarity with working with LLMs, Retrieval Augmented Generation (RAG), and Agentic AI.