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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI infrastructure development, GPU procurement strategies, and commercial partnership models. Proven ability to drive customer acquisition and revenue growth while optimizing infrastructure economics and operational efficiency.
Highest-signal resume keywords
AI Infrastructure DevelopmentGPU Procurement StrategiesBusiness DevelopmentFinancial ModelingNegotiation Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
GPU ComputingAI Infrastructure EconomicsData Center ManagementCommercial AgreementsCAPEXOPEXROIUnit EconomicsInfrastructure DeploymentGPU Compute Sales
Soft Skills
Entrepreneurial MindsetDecision-MakingExecution BiasRelationship BuildingIndependent Operation
Industry Keywords
GPU CloudAI EcosystemHigh-Performance ComputingCompute Capacity AgreementsInfrastructure PartnersColocation ProvidersAI InferenceGPU-as-a-ServiceEnergy-Intensive InfrastructureSan Francisco Bay Area Network
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Build an AI infrastructure business within an established international company.
- Develop and execute GPU procurement strategies.
- Establish relationships with NVIDIA, OEMs, distributors, and GPU hardware suppliers.
- Identify opportunities in new and secondary GPU markets.
- Negotiate hardware supply agreements, pricing, delivery terms, and strategic partnerships.
- Evaluate GPU availability, pricing dynamics, hardware lifecycle, and investment opportunities.
- Build a reliable network of hardware and infrastructure partners.
- Lead planning and deployment of GPU computing infrastructure.
- Identify and evaluate data center locations, colocation providers, and infrastructure partners.
- Coordinate power, cooling, networking, and operational capacity requirements.
- Develop scalable infrastructure deployment models.
- Oversee project execution with technical and operational teams.
- Optimize infrastructure economics, deployment timelines, and operational efficiency.
- Develop the commercial strategy for GPU compute capacity.
- Identify customers requiring AI inference, GPU cloud, and high-performance computing services.
- Build relationships with AI startups, enterprises, cloud providers, and infrastructure companies.
- Negotiate short- and long-term compute capacity agreements.
- Develop pricing strategies and commercial partnership models.
- Drive customer acquisition, revenue growth, and infrastructure utilization.
- Develop the AI compute business strategy and execution roadmap.
- Build financial models and evaluate investment opportunities.
- Own business unit economics, CAPEX, OPEX, and commercial performance.
- Collaborate with leadership on financing and capital allocation.
- Establish operational and commercial KPIs.
- Build and lead a team as the business scales.
- Take full accountability for business results and profitability.
Requirements
What you’ll need- 2+ years of experience in AI infrastructure, GPU cloud, data centers, cloud computing, or related industries.
- Proven track record of launching, building, or scaling infrastructure-driven businesses.
- Strong understanding of GPU computing, AI infrastructure economics, and the broader AI ecosystem.
- Demonstrated experience in at least two of the following areas: GPU procurement and strategic hardware partnerships; AI infrastructure development and deployment; GPU compute sales and commercialization.
- Strong business development and negotiation skills.
- Experience managing complex commercial agreements and strategic partnerships.
- Solid understanding of financial modeling, CAPEX, OPEX, ROI, and unit economics.
- Entrepreneurial mindset with a strong bias toward execution.
- Ability to operate independently and make decisions in a fast-moving environment.
- Fluent English.
- Nice to have: Established relationships with NVIDIA, OEMs, GPU distributors, or major hardware suppliers.
- Nice to have: Experience at GPU cloud providers, neocloud companies, or AI infrastructure startups.
- Nice to have: Background in GPU-as-a-Service (GPUaaS), AI inference, or compute marketplaces.
- Nice to have: Experience with high-density data centers, Bitcoin mining, or energy-intensive infrastructure.
- Nice to have: Experience negotiating long-term compute capacity contracts.
- Nice to have: Previous experience as a founder, General Manager, or business unit leader.
- Nice to have: Strong professional network in the San Francisco Bay Area.
Benefits
Comp & perks- Professional growth: support for courses, conferences, and English learning (up to 100% coverage).
- Work-life fit: remote or hybrid format with flexible hours across international teams.
- Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year
- Recognition programs: structured performance reviews and team awards.
- Team culture: retreats in international locations (for example, company apartments in Cyprus).