Remote AI Infrastructure Evangelist for GPUaaS

Ladders

United States

Remote

USD 186,000 - 272,000

Full time

31 hours ago
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Benefits offered by this job

Employee Stock Purchase Plan (ESPP)
Annual bonuses or incentives
Comprehensive benefits package
Flexible remote work opportunities
Access to professional development

Job summary

Ladders is seeking a Technical Evangelist - AI infrastructure and GPU Technologies to join our client’s leadership team. This remote role focuses on educating partners, enabling sales teams, and shaping external thought leadership around GPUaaS and AI infrastructure.

You will translate complex GPU/AI cloud concepts into compelling narratives, develop training programs, and act as a technical spokesperson at industry events, driving market awareness and GTM success.

Qualifications

  • Bachelor's degree or higher preferred in a related field.
  • 15+ years of relevant industry experience.
  • Expert-level knowledge of AI infrastructure, GPU technologies, and GPUaaS.
  • Proficiency in developing scalable training and certification programs.
  • Strong understanding of AI/cloud landscape and customer needs.

Responsibilities

  • Build and deliver training and certification programs for internal teams and partners.
  • Onboard and enable new partners by updating them on offerings and capabilities.
  • Create thought-leadership content to raise market awareness for GPUaaS.
  • Act as a technical spokesperson at industry events and forums.
  • Support customer-focused narratives in technical sessions.
  • Measure impact through partner training and engagement metrics.
  • Empower sales and partners to effectively sell GPUaaS solutions.

Skills

AI infrastructure
GPU technologies
Training program development

Education

Bachelor's degree preferred in related field

Job description

Ladders is seeking a Technical Evangelist - AI infrastructure and GPU Technologies to join our client’s leadership team. This remote role focuses on educating partners, enabling sales teams, and shaping external thought leadership around GPUaaS and AI infrastructure.

You will translate complex GPU/AI cloud concepts into compelling narratives, develop training programs, and act as a technical spokesperson at industry events, driving market awareness and GTM success.

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