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Product Management MBA Intern – Agentic AI
| Company | NVIDIA |
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| Location | Santa Clara, CA, USA |
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| Salary | $27 – $82 |
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| Type | Internship |
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| Degrees | MBA |
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| Experience Level | Internship |
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Requirements
- Currently pursuing an MBA at an accredited university.
- Experience in delivering software, libraries, and SDKs, with at least one completed project.
- Practical experience with AI technologies, including GenAI, LLMs, or Agentic AI systems, and familiarity with tools like NVIDIA NIM, NeMo Retriever, and NeMo Microservices.
- Demonstrated ability to define product requirements, prioritize features, and manage product roadmaps based on customer feedback and market analysis.
- Proven track record of successful teamwork across cross-functional teams, customers, and partners.
- Outstanding communication skills, demonstrated through presentations or published content for both technical and non-technical audiences.
Responsibilities
- Define and Prove: Collect insights and build market analysis that provides the data to enter or change new markets through a clear value proposition for the product.
- Market intelligence: Understand the developers, partners, and competitors.
- Build and Deliver: Collaborate with engineering to promote the customer’s needs by setting feature priorities across roadmaps.
- Learn and present: Conduct thorough error analysis of existing retrieval pipelines to identify performance gaps and optimization opportunities.
- Drive key customer engagements: manage early access program recruitment, facilitate POC testing and implementation, gather and analyze customer feedback, develop and refine product roadmap.
- Marketing content creation: Work with marketing to define positioning that enables the creation of technical content, including white papers, blog posts, webinars, developer tutorials, and more to communicate the product value proposition.
- Product launches: Define the go-to-market strategy and drive the cross-functional implementation of the plan across marketing, public relations, and sales.
Preferred Qualifications
- Strong background in machine learning, particularly agentic AI systems and evaluation methodologies.
- Experience with LLMops and deploying scalable AI solutions.
- Close interactions with enterprise customers, understanding pain points and needs, and translating to technical product requirements.
- Experience in zero to one product definition and development.
