General Manager – AI Compute & Infrastructure

This is a fully remote position, open to applicants in California.

📋 Description

• Develop an AI infrastructure business within a well-established international organization.

• Create and implement strategies for GPU procurement.

• Build and maintain relationships with NVIDIA, OEMs, distributors, and GPU hardware vendors.

• Explore opportunities in emerging and secondary GPU markets.

• Negotiate agreements regarding hardware supply, pricing, delivery conditions, and strategic collaborations.

• Assess GPU availability, pricing trends, hardware lifecycle, and investment opportunities.

• Cultivate a dependable network of hardware and infrastructure partners.

• Lead the planning and rollout of GPU computing infrastructure.

• Identify and analyze potential data center locations, colocation providers, and infrastructure partners.

• Coordinate requirements for power, cooling, networking, and operational capacity.

• Develop models for scalable infrastructure deployment.

• Oversee project execution alongside technical and operational teams.

• Enhance infrastructure economics, deployment schedules, and operational effectiveness.

• Formulate the commercial strategy for GPU compute capacity.

• Identify clientele in need of AI inference, GPU cloud, and high-performance computing services.

• Forge connections with AI startups, enterprises, cloud service providers, and infrastructure firms.

• Negotiate both short- and long-term agreements for compute capacity.

• Develop pricing strategies and frameworks for commercial partnerships.

• Propel customer acquisition, revenue growth, and infrastructure utilization.

• Formulate the AI compute business strategy and its execution roadmap.

• Construct financial models and assess investment opportunities.

• Manage business unit economics, CAPEX, OPEX, and overall commercial performance.

• Collaborate with leadership on financing and capital allocation matters.

• Define operational and commercial KPIs.

• Build and lead a team as the business expands.

• Assume full responsibility for business outcomes and profitability.

⛳️ Requirements

• A minimum of 2 years' experience in AI infrastructure, GPU cloud, data centers, cloud computing, or related fields.

• Demonstrated success in launching, building, or scaling infrastructure-focused businesses.

• Strong grasp of GPU computing, AI infrastructure economics, and the overall AI landscape.

• Proven experience in at least two of the following domains: GPU procurement and strategic hardware collaborations; AI infrastructure development and deployment; GPU compute sales and commercialization.

• Exceptional business development and negotiation capabilities.

• Experience managing complex commercial agreements and strategic alliances.

• Solid understanding of financial modeling, including CAPEX, OPEX, ROI, and unit economics.

• An entrepreneurial mindset with a pronounced focus on execution.

• Ability to work independently and make decisions in a fast-paced environment.

• Proficiency in English.

• Nice to have: Established connections with NVIDIA, OEMs, GPU distributors, or major hardware suppliers.

• Nice to have: Experience with 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: Background negotiating long-term compute capacity contracts.

• Nice to have: Previous experience as a founder, General Manager, or business unit leader.

• Nice to have: A strong professional network in the San Francisco Bay Area.

🏝️ Benefits

• Professional development: support for courses, conferences, and English language learning (up to 100% coverage).

• Work-life balance: remote or hybrid work format with flexible hours across international teams.

• Paid time off: up to 20 vacation days + 8 company holidays + 5 personal days each year.

• Recognition programs: structured performance evaluations and team awards.

• Team culture: retreats in international destinations (for instance, company accommodations in Cyprus).