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Technical Evangelist – AI Infrastructure, GPU Technologies
Rackspace Technology. Build and deliver training and certification programs for internal Sales, SDR, and channel partners on GPUaaS capabilities, use cases, and competitive positioning .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expert-level knowledge in AI infrastructure, GPU technologies, and GPUaaS solutions, with a strong ability to develop and deliver scalable training and certification programs. Proven skills in technical writing, public speaking, and stakeholder management enhance the effectiveness of partner enablement and customer engagement.
Highest-signal resume keywords
AI Infrastructure ExpertiseGPUaaS Solutions KnowledgeTechnical Training DevelopmentPublic SpeakingStakeholder Management
ATS Keywords
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Hard Skills
AI InfrastructureGPU TechnologiesGPUaaS SolutionsCloud ComputingTechnical WritingTraining DevelopmentEnablement ProgramsDigital Media SavvyPresentation BuildingBusiness/Technical Consulting
Soft Skills
NetworkingRelationship Management
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
Competitive PositioningMarket AwarenessCustomer UnderstandingPartner EcosystemsThought-Leadership Content
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Build and deliver training and certification programs for internal Sales, SDR, and channel partners on GPUaaS capabilities, use cases, and competitive positioning
- Run partner enablement by onboarding new ISV/channel partners and keeping their teams current on product and pricing
- Produce thought-leadership content including blog posts, LinkedIn posts, whitepapers, and webinars
- Represent GPUaaS at industry events, conferences, and customer-facing forums as a technical spokesperson
- Support customer-facing technical narratives in top-of-funnel and mid-funnel activities such as webinars and technical AMAs
- Own the GPUaaS enablement and awareness layer that helps Sales, SDR, and channel partners sell effectively
- Collaborate across Sales, Product, Marketing, and partner organizations
- Contribute to market awareness, partner effectiveness, and customer understanding
- Track training and certification, content reach and engagement, and event/program participation
Requirements
What you’ll need- Bachelor's Degree required, preferably in a field related to the role
- 15+ years of experience in the field of the role
- Expert-level knowledge of AI infrastructure, GPU technologies, GPUaaS solutions, cloud computing, and related use cases and trends
- Expert-level knowledge of translating complex technologies into compelling narratives and authoritative technical content
- Expert-level knowledge of developing scalable technical training, enablement, and certification programs for internal and external audiences
- Expert-level knowledge of the AI/cloud landscape, competitive environment, customer needs, and partner ecosystems
- Business/Technical Consulting
- Cloud Computing
- Development/Training
- Digital Media Savvy
- Networking/Relationship Management
- Presentation Building
- Public Speaking
- Stakeholder Management (external/internal)
- Technical Acumen
- Technical Writing Skills
Benefits
Comp & perks- Annual bonus or incentives
- Equity awards
- Employee Stock Purchase Plan (ESPP)
- Benefits package (details available through Rackspace benefits information)
- Equal employment opportunity
- Disability or special-needs accommodation