About The Position

As an AI Infrastructure Product Manager Intern, you'll work closely with cross-functional teams to shape strategy and execution for Cerebras' hardware platforms. You'll dive deep into customer needs, market dynamics, and technical tradeoffs to help guide decisions on roadmap, pricing, packaging, and positioning. You'll work cross-functionally with hardware engineering, software, sales, and customer success to bring category-defining inference solutions to market. If you are passionate about solving complex infrastructure challenges and building solutions that scale, this is the role for you. This internship is designed to offer real ownership and impact. You'll present directly to senior leadership and walk away with tangible experience shipping world-class AI systems.

Requirements

  • Currently enrolled in a full-time MBA program (Class of 2025 or 2026).
  • 3+ years of prior work experience in hardware, semiconductors, AI/ML, or systems engineering.
  • Strong analytical, strategic thinking, and communication skills.
  • Comfortable working in fast-moving environments with ambiguity and evolving priorities.
  • Technical background (e.g., BS in Electrical Engineering, Computer Engineering, or Computer Science) is strongly preferred.

Nice To Haves

  • Experience in product management, strategy, or technical marketing roles.
  • Passion for AI, high-performance compute, or ML infrastructure.
  • Familiarity with hardware performance metrics, customer workloads, and industry trends in chips and systems.

Responsibilities

  • Drive competitive analysis and customer segmentation for Cerebras' AI systems (CS-3, inference clusters, and beyond).
  • Evaluate product-market fit for new hardware configurations and help define product packaging and pricing strategy.
  • Collaborate with engineering and sales teams to gather feedback and prioritize roadmap features.
  • Build business cases for new product opportunities or enhancements.
  • Create internal and external collateral (e.g., product briefs, battle cards, market insights) to support go-to-market efforts.
  • Present recommendations and learnings to the leadership team at the end of your internship.

Benefits

  • Build a breakthrough AI platform beyond the constraints of the GPU.
  • Publish and open source their cutting-edge AI research.
  • Work on one of the fastest AI supercomputers in the world.
  • Enjoy job stability with startup vitality.
  • Our simple, non-corporate work culture that respects individual beliefs.

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What This Job Offers

Career Level

Intern

Industry

Professional, Scientific, and Technical Services

Education Level

Master's degree

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