Compute Strategy & Operations Lead

Modal
New York
Workplace: OnsiteFull timeUSD 200,000 - 300,000 annuallyFunction: Business OperationsSkills: ["Negotiation","Stakeholder management","Communication"]

Lead compute strategy and operations for Modal by forecasting GPU/CPU capacity, sourcing supply across hyperscalers, neoclouds, and datacenters, and closing supplier contracts. You will shape infrastructure buys that enable AI workloads, translate technical requirements into procurement specs, and partner with finance and engineering to align capacity with product roadmap, pricing trends, and company strategy.

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FursaFursa
Modal
Modal
5 months ago

Compute Strategy & Operations Lead

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Lead compute strategy and operations for Modal by forecasting GPU/CPU capacity, sourcing supply across hyperscalers, neoclouds, and datacenters, and closing supplier contracts. You will shape infrastructure buys that enable AI workloads, translate technical requirements into procurement specs, and partner with finance and engineering to align capacity with product roadmap, pricing trends, and company strategy.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Business Operations

Key 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 our engineering teams to translate technical requirements into procurement specs

Pay and Benefits

Salary: USD 200,000 - 300,000 annually

Key Requirements

  • •Fluency in the AI infrastructure landscape: hyperscalers, neoclouds, and the broader GPU supply market
  • •Technical understanding of GPU architectures (NVIDIA H100/H200/B200, etc.), networking (InfiniBand vs. RoCE, fabric topology), and SLA structures
  • •Strong commercial instincts. You 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
  • •End-to-end procurement of GPU and CPU capacity across hyperscalers, neoclouds, and datacenter operators
Experience:AI infrastructureGPU supply market
Skills:NegotiationStakeholder managementCommunication
Tech Stack:NVIDIA H100NVIDIA H200InfiniBandRoCEGPU

Company Brief

Modal
Provides a serverless, high-performance cloud platform for AI, ML, and data workloads — offering instant autoscaling, elastic GPU access, and developer-first tooling to run inference, training, and batch jobs at scale.
Industry: Cloud Computing
Company Size: Small (11 to 50 employees)
Growth: Growth Stage Startup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: New York City, United States
Founded: 2021
WebsiteLinkedIn