Intern, CDBU Marketing

About the Role

The Compute Data Center Business Unit (CDBU) at Micron Technology focuses on driving the strategy, positioning, and market adoption of advanced memory and storage technologies for data center, cloud, AI, and high-performance computing environments. As an MBA Intern within CDBU, you will support priority EMEAIJ and Rest of World initiatives.

Key Responsibilities

• Conduct market and opportunity assessments for targeted industry verticals, including total addressable market (TAM), customer segments, workload trends, ecosystem participants, and whitespace opportunities.
• Develop customer-facing solution narratives, vertical playbooks, discovery guides, and marketing content that communicate the value of memory and storage solutions for data center workloads.
• Collaborate with Data Center Workload Engineering (DCWE), product managers, marketing teams, business development leaders, and sales organizations to translate technical capabilities into customer and business value.
• Leverage AI and Generative AI tools to research market trends, develop content, synthesize insights, and improve go-to-market recommendations.
• Lead a defined internship project from research and partner engagement through executive presentation, final recommendations, and handoff of reusable results.

Requirements & Tech Stack

• Currently pursuing an MBA (or equivalent graduate business program).
• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
• Demonstrated ability to analyze market, technical, or business data and develop structured recommendations.
• Strong written, verbal, and presentation skills with the ability to communicate complex concepts to diverse audiences.
• Experience working on cross-functional projects and collaborating effectively with multiple partners.
• Familiarity with AI, Artificial Intelligence, or AI-Assisted tools for research, analysis, content development, or business problem solving.

Qualifications (Preferred)

• Prior experience or academic exposure to data center infrastructure, cloud computing, AI workloads, CPU/GPU platforms, memory technologies, or storage solutions.
• Knowledge of Financial Services, Quant Trading, High Performance Computing (HPC), Sovereign AI, or related industry segments.
• Experience conducting market sizing, value chain analysis, customer segmentation, or go-to-market strategy projects.
• Experienced in translating technical and commercial information into concise customer-facing presentations, reports, or recommendations.
• Proven curiosity, initiative, and ability to influence outcomes while working with geographically distributed and cross-functional teams.