Product Management MBA Intern, Agentic AI - Summer 2025

Nvidia • Santa Clara, CA

285d • $27 - $82

About The Position

NVIDIA stands at the forefront of the generative AI revolution, powering the world's most sophisticated AI models and enterprise solutions. Our technology and platforms enable organizations worldwide to harness the transformative power of AI, from training foundation models to deploying production-ready applications. NVIDIA offers key building blocks - NVIDIA NIM, NeMo Retriever, NeMo Microservices, and the new Llama Nemotron family of reasoning AI models — for enterprises to develop powerful agentic systems. AI-Q, a new NVIDIA Blueprint, offers an easy-to-follow reference for integrating these building blocks into business-ready applications. NeMo Evaluator works at the nexus of these technologies, empowering organizations to rapidly iterate on the latest building blocks and architectures of agent systems using enterprises' own data, setting record speeds for time-to-market. We're seeking an experienced Product Management MBA Intern to join our NeMo Evaluator team to develop frontier evaluation solutions for AI agent systems. Working with NIM, NeMo Retriever, NeMo Microservices, and AI-Q Blueprint teams, this role will address the critical need to rapidly assess complex agentic systems, including reasoning, planning, synthesis, self-critique, tool-calling, and the overall assessment of trajectory with human-in-the-loop feedback. This role sits at the intersection of cutting-edge AI technology and enterprise solutions, helping shape the future of bringing accurate, reliable, and scalable agentic applications to production.

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.

Nice To Haves

• 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.

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.

Benefits

• The hourly rate for our interns is 27 USD - 82 USD.
• Intern benefits.

What This Job Offers

• Career Level: Intern
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Master's degree