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Director of Portfolio Product Marketing

Crusoe Energy Systems · San Francisco, United States

On-siteImported listingfull-timeabout 1 month ago

About The Role

Join our team as the Director of Portfolio Product Marketing. In this role, you will be responsible for synthesizing product messaging into a coherent portfolio story, translating it into sales plays, training, and competitive frameworks. You will own the sales narrative, competitive intelligence, and go-to-market motion across the entire portfolio. This position requires a deep understanding of AI/ML infrastructure, enterprise sales, and the competitive landscape.

  • Synthesize product-line messaging into a coherent portfolio story and translate it into sales plays, training, and competitive frameworks.
  • Own the sales narrative, competitive intelligence, and go-to-market motion across the entire product portfolio, including the first-call deck.
  • Build and deliver training for the field, run train-the-trainer sessions, and maintain competitive battlecards and content repositories.
  • 10+ years in product marketing, ideally in cloud infrastructure, AI, or machine learning
  • Proven storytelling: you can take a technical concept and make a non-technical seller feel confident repeating it
  • Technical depth in AI/ML infrastructure: you understand the real differences between training and inference workloads, what makes an inference stack fast or cheap, and how customers actually evaluate compute
  • Fluency with sales messaging frameworks; Command of the Message strongly preferred
  • Experience building content that sellers voluntarily reuse
  • Ability to work across a bench of product-line PMMs: synthesizing their work, not duplicating it, and holding the portfolio view none of them own individually
  • Real understanding of how enterprise sales works: pipeline stages, MEDDIC-style qualification, what a rep is actually doing in a first call, and why most enablement content goes unused
  • Working knowledge of the competitive landscape: hyperscalers, neoclouds, managed inference providers, and the buy-vs-build calculus
  • Comfort with data tooling to build TCO models that survive customer scrutiny
  • Background as a sales engineer, solutions architect, or technical seller
  • Prior experience at an infrastructure, semiconductor, or AI platform company

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