Product Manager MBA Intern, Enterprise AI

Nvidia

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Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
8 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $192k
$140k $245k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $154,887–$228,187.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Product Manager MBA Intern, Enterprise AI

The Product Manager MBA Intern, Enterprise AI - Summer 2027 will join the NVIDIA IT team to build next-generation Agentic AI Products and Platforms. This role focuses on internal AI adoption to improve productivity and accelerate business outcomes. You will collaborate with internal partners to prioritize requirements, translate needs into product visions and roadmaps, and manage technical tradeoffs. Daily tasks include conducting user research, analyzing problems, and presenting data-based arguments to senior leadership. You must possess expertise in AI, Machine Learning, generative AI, traditional deep learning, and statistical machine learning. The role requires familiarity with LLMs, Retrieval Augmented Generation, and Agentic AI. Candidates should have experience shipping products with engineers and data scientists while utilizing skills in product specifications, prototyping, and design mock-ups.

What does a Product Manager earn in California?

Median $222500 from 327 postings across 57 companies.

See salary data

What you'll do

  • Translate internal partner needs into a clear product vision, roadmap, and actionable user stories.
  • Solve sophisticated technical problems by managing competing tradeoffs and creative solutions.
  • Conduct user research and analyze problems to present actionable insights to senior leadership.
  • Build data-based arguments to convince stakeholders and generate meaningful progress.
  • Establish and articulate design strategies and end-to-end product experiences from a user-centric perspective.
  • Develop and manage Agentic AI products and platforms to improve internal productivity and business outcomes.
  • Write detailed product specifications and publish case studies or technical papers.

What we're looking for

  • Currently pursuing an MBA with a graduation date of December 2027 or May/June 2028.
  • BS or MS degree in Computer Science or a related engineering field.
  • Experience shipping customer-facing or employee-facing products by working with engineers, designers, and data scientists.
  • Hands-on product management expertise involving AI, Machine Learning, generative AI, traditional deep learning, and statistical machine learning.
  • Outstanding communication and problem-solving skills.
  • Engineering and design background with the ability to do hands-on prototyping, create mock-ups, and vibe code (preferred).
  • Ability to thrive in a fast-paced environment and manage multiple priorities (preferred).
  • Outstanding organization skills and excellent writing skills for product specifications and papers (preferred).

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