Product Marketing MBA Intern, AI Infrastructure — Summer 2027

Description

The company develops AI and high performance computing products and is one of the most sought-after employers in technology.

This summer role supports awareness and thought leadership for the AI infrastructure platform within the fast-growing data center business.

You will turn hard technical material into stories that customers, partners and analysts can act on.

Suited to someone with an engineering or product background who is now adding a business focus through an MBA and is keen on the pace of AI.

Responsibilities

• Learn the technical capabilities of the AI infrastructure and inference stack, including accelerated compute, networking, CUDA libraries, model architectures and deployment methods, by working with engineering, product and solution architecture teams.
• Review inference developments such as model designs, serving frameworks and optimization techniques, including arXiv and industry papers, and identify where they connect to the platform's performance and cost.
• Write blog posts, technical explainers, presentations, briefing materials and narrative frameworks that build awareness and thought leadership.
• Work with PR, campaigns, analyst relations and developer marketing to distribute content across channels and widen its reach.
• Own a defined summer project from research through to a published or presented deliverable.

Requirements

• Currently pursuing an MBA with graduation between December 2027 and summer 2028, and hold a prior Bachelor's in engineering, computer science or another STEM field.
• Prior full-time experience in engineering, product management or a technical product role.
• Working knowledge of AI and ML basics, including how models are trained and served and why inference is hard at scale.
• Strong written and spoken communication, able to explain complex technical concepts to non-specialists.
• Able to work independently with high-level feedback and move quickly.
• Ways to stand out: familiarity with data center and accelerated computing concepts, deep learning frameworks such as PyTorch and JAX, and inference serving tools such as TensorRT-LLM, vLLM, SGLang, Triton Inference Server or similar.
• Ways to stand out: published technical writing, blog posts or conference talks on AI systems, infrastructure or inference.
• Ways to stand out: experience with hyperscale cloud providers or large-scale AI infrastructure.

Conditions

Hourly pay ranges from 38 USD to 94 USD, set by role, location, year in school, degree and experience.

Applications are accepted at least until November 6, 2026.

This is an existing vacancy.

The company uses AI tools in parts of its recruiting process.

The company is an equal opportunity employer and does not discriminate on protected characteristics.