Technical Product Marketing MBA Intern, AI Infrastructure - Summer 2027

Santa Clara, CA (On-site)

$38/hr – $94/hrIntern/New GradInternship

Posted 1 day ago

Job Summary

You will own market messaging and content for AI infrastructure, translating performance data into value propositions while coordinating with product, engineering, and sales teams.

  • Research customer needs and market trends
  • Develop positioning and evidence-based value propositions
  • Create customer stories and sales enablement materials

Job Description

Responsibilities

  • Researching customer needs, market trends, and competitive offerings across AI infrastructure, training, inference, and accelerated computing.
  • Developing messaging and positioning that connect technical capabilities to customer priorities, including performance, energy efficiency, deployment simplicity, and total cost of ownership.
  • Building marketing content, such as customer stories, presentations, solution briefs, blogs, and sales enablement materials.
  • Working with technical teams to interpret performance data and turn findings into evidence-based value propositions for technical and business audiences.
  • Delivering an internship project with clear objectives, achievements, and outcomes, and presenting recommendations to collaborators across product management, engineering, sales, and marketing.

Requirements

  • Pursuing an MBA or a related field, or possessing equivalent experience (graduating in winter 2027 or summer 2028)
  • BS or MS in engineering, computer science, or a related technical field, or equivalent experience
  • Working knowledge of AI and cloud or data center computing, including AI training and inference
  • Experience producing customer-facing content such as product collateral, web copy, or briefs
  • Experience analyzing data to support recommendations
  • Hands-on experience with AI assistants and agentic workflows to accelerate day-to-day work

Preferred

  • Background in product marketing, product management, engineering, technical consulting, or enterprise technology
  • Experience with generative AI, AI agents, inference, accelerated computing, or cloud infrastructure
  • Translating technical capabilities into customer benefits, economic analysis, or differentiated positioning
  • Contributions to product launches, customer case studies, market research, or sales enablement
  • Examples of independent ownership, project management, and collaboration across technical and business teams

Benefits

  • Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.
NVIDIA logo

NVIDIA

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Founded in 1993
Santa Clara, CA, US
42K employees (3,021 in marketing)

Salaries

Posted range

$38/hr – $94/hr

Taken straight from the job posting.

See all NVIDIA salaries

Funding

Total Funding
$4.1B
Last Raise
$5M
Grant, 3 years ago

Funding History

  • May 2023
    Grant • $5M
  • Aug 2022
    Post IPO Equity • $65M
  • Feb 2021
    Post IPO Equity

Traffic Signals

Monthly Visitors
36.4M
Monthly Google Ads Budget
$263K
Traffic Source Mix
Search
46%
Direct
47.1%
Referral
5.7%
Social
0.9%
Paid
0.3%

Headcount Trend

Current headcount: ~46.1K