General Manager – AI Compute & Infrastructure

Job not on LinkedIn

🕒 Yesterday

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Artificial Intelligence

🚫👨‍🎓 No degree required

👻 Ghost score 20%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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📋 Description

• 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

• 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

• 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).

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