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Crusoe

Builds AI data centers near cheap energy

Director – Portfolio Product Marketing

Product MarketingConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 10 years of experience in product marketing, ideally in cloud infrastructure, artificial intelligence, or machine learning.
  • Technical depth in artificial intelligence and machine-learning infrastructure, including differences between training and inference workloads, factors affecting inference speed or cost, and how customers evaluate compute.
  • Working knowledge of the competitive landscape, including hyperscalers, neoclouds, managed inference providers, and the buy-versus-build calculus.
  • Fluency with sales messaging frameworks; Command of the Message is strongly preferred.
  • Ability to translate technical concepts into clear stories that non-technical sellers can confidently repeat.
  • Understanding of enterprise sales, including pipeline stages, MEDDIC-style qualification, first-call activities, and why enablement content may go unused.
  • Ability to work across product-line product marketing managers by synthesizing their work without duplicating it and maintaining a portfolio-wide view.
  • Experience building content that sellers voluntarily reuse.

Responsibilities

  • Serve as the primary subject-matter expert for building sales plays for new products and features, synthesizing across product lines into a single motion the field can run.
  • Translate product-line market requirements documents into sales-facing playbook components and launch guidance covering what is being built, why, for whom, and what it displaces, framed around the questions sales will ask.
  • Partner with Product and product-line product marketing managers on launch calendars to give Revenue Enablement months of lead time.
  • Translate early-access and preview learnings into targeting guidance and field-ready talk tracks.
  • Synthesize product-line messaging into a portfolio-level sales narrative using Command of the Message (Force Management), keeping the cross-product story coherent and differentiated.
  • Own the sales narrative for the First Call Deck, making it conversational up front.
  • Build modular slide libraries so representatives can tailor content by persona, segment, and use case without going off-message.
  • Build curriculum components for new-hire onboarding and ongoing field education.
  • Build and deliver training with Product for Field Forum and help plan the calendar around launches.
  • Run train-the-trainer sessions with the Revenue Enablement team so enablement can scale delivery.
  • Review enablement-created content for technical accuracy before it reaches the field.
  • Maintain competitive battlecards using one consistent framework so representatives can learn the structure and recall it under pressure.
  • Keep the competitive matrix current across hyperscalers, neoclouds, and managed inference providers.
  • Publish digestible analyst and industry updates with FAQs and guidance on what to say, drawing on sources such as SemiAnalysis and Gartner.
  • Keep ideal customer profile definitions current and help sellers identify and qualify new targets.
  • Create product one-pagers and datasheets for every product, ready to send to customers.
  • Create customer stories, each with a single business-impact slide representatives can use in any deck.
  • Create infographics, top-ten lists, and short attention-grabbing assets for outreach and LinkedIn.
  • Build return-on-investment and total-cost-of-ownership calculators and other sales decision-support tools.
  • Restructure and maintain content repositories so blogs, ungated content, and decks are discoverable and AI assistants and Field Guide can reliably retrieve the latest version.
  • Enforce version hygiene by maintaining one source of truth per asset and visible last-updated dates.

Desired Qualifications

  • Prior experience at an infrastructure, semiconductor, or AI platform company.
  • Background as a sales engineer, solutions architect, or technical seller.
  • Comfort with data tools for building total-cost-of-ownership models that withstand customer scrutiny.

About the Company

Crusoe

Builds AI data centers near cheap energy

Crusoe builds and runs data centers for artificial intelligence, placing them near cheap or otherwise wasted energy and handling everything from the power supply to the cloud software. It developed the flagship campus in Abilene, Texas, for Stargate, the AI infrastructure project backed by OpenAI and Oracle. AI companies rent its GPU servers on demand or under longer contracts through Crusoe Cloud to train and run their models, while larger customers lease entire campuses that Crusoe develops and operates for them. The company was founded in 2018, when it began running computers at oil fields on natural gas that would otherwise have been burned off, and it is based in Denver.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$14.5B
Headquarters
Denver, CO
Founded
2018

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