Director of Portfolio Product Marketing
Crusoe Energy Systems
San Francisco, United States Posted September 19, 2026
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Salary Range
$240,000 - $270,000
Job Description
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
Required Skills
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