Compute Strategy & Operations Lead
Leads procurement and strategy for GPU/CPU capacity across hyperscalers, neoclouds, and datacenters. Evaluates suppliers, negotiates contracts, and advises leadership on market trends, requiring deep AI infra knowledge and commercial skills.
About the job
Responsibilities
- Own end-to-end procurement of GPU and CPU capacity across hyperscalers, neoclouds, and datacenter operators
- Build and maintain a strong pipeline of supplier relationships
- Evaluate supply options on price, availability, hardware specs, networking capabilities, and SLA terms
- Negotiate and close contracts: reserved capacity agreements, spot arrangements, MSAs, DPAs, and order forms
- Work closely with engineering teams to translate technical requirements into procurement specs
- Track market pricing, availability trends, and supplier dynamics, and serve as a trusted advisor to leadership on infrastructure procurement decisions
Requirements
- Fluency in the AI infrastructure landscape: hyperscalers, neoclouds, and the broader GPU supply market
- Technical understanding of what you're buying: GPU architectures (NVIDIA H100/H200/B200, etc.), networking (InfiniBand vs. RoCE, fabric topology), and SLA structures
- Strong commercial instincts: know how to find leverage, structure a deal, and close it
- Ability to work cross-functionally with finance and engineering teams on commercial terms and technical requirements
Skills
Gpu Architectures, Nvidia H100, InfiniBand, Roce, Hyperscalers, Neoclouds, Contract Negotiation, Procurement, AI Infrastructure, Sla Structures
Similar jobs
Business Operations jobsOwns the master schedule and delivery roadmap for GW-scale data center builds. Leads project controls teams, manages schedules, claims, and risks, and provides schedule intelligence to support executive decisions.
Own strategy and operations for the creator-supply side of a two-sided marketplace, including supply planning, funnel analytics, retention, incentives, and operational problem resolution. The role requires 4–6+ years in consulting, finance, or a high-growth startup and strong cross-functional execution.
Leads Mercury’s enterprise-wide data and AI governance program, establishing risk-based standards, accountability, and responsible-use processes across data, engineering, product, security, legal, compliance, and business teams. Requires 10+ years in governance, technology risk, model risk, privacy, compliance, or related disciplines.
Leads Experiences merchandising and discoverability strategy, partnering with Product, Engineering, and Supply on ranking, personalization, experimentation, and measurement. Requires 12+ years in business operations, product operations, or strategy and strong analytical and stakeholder-influence skills.
Leads corporate strategy and operational priorities for the Employer function, advising senior leadership, identifying growth opportunities, and coordinating cross-functional initiatives. Requires 5+ years of management consulting experience, healthcare purchasing expertise, and strong strategic communication skills.