Manager, International Cloud Sourcing at Together AI in San Francisco or NYC

Job description

• Together AI is looking for a Manager to own the commercial relationships with our international cloud compute suppliers and the market intelligence that drives our compute supply strategy. You will manage the lifecycle of international cloud service provider (CSP) contracts and renewals, run RFP processes for new capacity, build pricing benchmarks across the global GPU cloud landscape, and partner with infrastructure engineering, finance, and GTM to secure the right capacity at the best economics as we rapidly scale our GPU fleet globally.

Responsibilities

• Manage the lifecycle of international CSP leasing agreements, from sourcing and RFPs through contract execution and renewals
• Partner with infrastructure engineering to translate technical requirements into commercial specifications, and coordinate technical evaluations during vendor selection
• Develop and maintain relationships with cloud compute suppliers to expand Together's vendor ecosystem into new international markets
• Build and maintain market intelligence to stay ahead of pricing trends, supply availability, and the evolving international cloud compute vendor landscape
• Develop negotiation strategies that improve our cost position and terms as we scale, accounting for local contracting norms and market dynamics
• Drive continuous improvement on Total Cost of Ownership (TCO) and actively mitigate supply chain and commercial risks across the GPU fleet
• Establish and lead regular, structured vendor performance reviews, including Quarterly Business Reviews (QBRs), with international cloud and infrastructure compute suppliers.
• Track the country-level factors that shape international capacity decisions, including power availability, local regulatory and data residency requirements, currency, and tax and duty implications

Requirements

• 5+ years in cloud sourcing, strategic sourcing, or infrastructure commercial roles, with exposure to GPU or high-performance compute environments
• Track record negotiating cloud or infrastructure contracts (multi-million dollar deal sizes), including with suppliers outside the US
• Working knowledge of cloud infrastructure, including GPU configurations, networking, and cluster architecture, with the ability to translate technical requirements into commercial terms
• Strong analytical skills; experience building pricing models or financial analyses that inform sourcing decisions
• Excellent communication skills; comfortable working across engineering, finance, and vendor executives, including international suppliers, and available for calls outside standard US business hours
• Ability to apply FinOps principles (e.g., cost allocation, rightsizing, commitment strategy) to cloud sourcing and contract negotiations to drive demonstrable cost efficiency across the GPU fleet.
• Experience in GPU/AI compute sourcing specifically, or at a GPU cloud provider or hyperscaler
• Familiarity with the AI infrastructure vendor ecosystem and current supply/demand dynamics, particularly outside the US
• Experience building sourcing processes from scratch rather than operating within established systems
• Familiarity with data center economics, including power, cooling, and site selection considerations, and with country-level factors such as data residency, currency, and duties

Skills

Required

• Cloud sourcing
• Strategic sourcing
• Infrastructure commercial roles
• Contract negotiation
• Analytical skills
• Pricing models
• Financial analyses
• Communication skills
• FinOps principles

Preferred

• GPU/AI compute sourcing
• AI infrastructure vendor ecosystem
• Sourcing process building
• Data center economics

Benefits

• We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $190-220K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.