About the role

  • Compute Partnerships Lead architecting and operating GPU sourcing for Prime Intellect’s AI infrastructure. Building capacity systems for enterprise deployments and frontier model research.

Responsibilities

  • Develop and execute Prime Intellect’s global GPU sourcing strategy across H100/H200/B200-class infrastructure and beyond.
  • Structure commercial agreements that balance cost, flexibility, term length, and growth optionality.
  • Identify and evaluate infrastructure partners across hyperscalers, specialized AI clouds, data centers, colocation providers, and hardware vendors.
  • Lead negotiations on pricing, SLAs, capacity reservations, expansion rights, and risk allocation.
  • Continuously optimize blended gross margins through disciplined sourcing and contract structuring.
  • Secure capacity for internal frontier RL research and model training.
  • Coordinate closely with research and engineering teams to understand workload requirements (training vs inference vs long-context deployments).
  • Align capacity planning with enterprise deployment roadmaps.
  • Ensure compute supply keeps pace with customer expansion and new model launches.
  • Work with infrastructure, platform, and DevOps teams to ensure partner capacity is onboarded efficiently and runs reliably in production.
  • Track uptime, delivery timelines, and performance metrics across partners.
  • Manage escalation paths and issue resolution with providers.
  • Design playbooks for expanding from pilot deployments to large-scale clusters.
  • Monitor global GPU supply dynamics, pricing trends, export constraints, and vendor roadmaps.
  • Diversify supply to reduce concentration risk.
  • Model long-term capacity requirements across revenue scenarios.
  • Identify opportunities for structured capacity (e.g., reserved blocks, hybrid models, co-investment structures).
  • Build long-term strategic relationships with infrastructure providers.
  • Explore novel partnership models that create competitive advantage.
  • Support cross-functional collaboration between Finance, Research, Sales, and Operations.
  • Provide infrastructure insights for board and investor conversations.

Requirements

  • 3–7+ years in infrastructure partnerships, business development, commercial sourcing, or AI infrastructure strategy.
  • Direct experience negotiating GPU/cloud/data center agreements strongly preferred.
  • Strong understanding of AI workloads (training vs inference, memory constraints, networking, utilization economics).
  • Experience working cross-functionally with engineering and finance.
  • High commercial discipline — comfortable modeling margin, utilization, and contract tradeoffs.
  • Comfortable operating in constrained supply environments.
  • Strong ownership mentality — you build systems, not just deals.
  • Ability to travel and manage global partnerships across time zones.

Benefits

  • Competitive Compensation + equity incentives
  • Flexible Work (remote or San Francisco)
  • Visa Sponsorship and relocation support
  • Professional Development budget
  • Team off-sites and conference attendance
  • Opportunity to shape decentralized AI at Prime Intellect

Job title

Compute Partnerships Lead

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

Location requirements

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