GPU Compute Partnerships & Commercial Operations Manager

Nebius

United StatesPubblicato ieri

Informazioni sul ruolo

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The role

We’re looking for a GPU Compute Partnerships & Commercial Operations Manager to secure and manage the external GPU capacity that enables our inference business to serve customers and grow.

Working closely with GTM, technical, and finance teams, you’ll translate commercial demand into provider sourcing priorities, help secure commercially attractive capacity, and manage provider agreements throughout their lifecycle. Your work will help ensure that capacity availability, deployment timelines, and provider economics support customer commitments and business objectives.

You’ll own day-to-day commercial and operational coordination with compute providers — from evaluating proposals and progressing agreements to managing capacity changes, validating service delivery, and ensuring accurate billing.

You’re welcome to work remotely from the United States.

Your responsibilities will include:

- Align compute supply with commercial demand: Work with GTM and technical teams to understand expected customer demand, deployment requirements, and timing, and translate these into external capacity sourcing priorities.

- Source and evaluate compute partners: Identify and assess GPU providers based on pricing, available capacity, deployment timelines, service reliability, and suitability for customer inference workloads.

- Support commercial negotiations: Compare proposals and help negotiate rates, capacity commitments, payment terms, service levels, and remedies that support the economics and delivery requirements of the inference business.

- Drive agreements to execution: Coordinate Legal, Finance, Procurement, Security, and technical stakeholders through review, approval, signature, provider onboarding, and purchase order creation, keeping timelines aligned with planned deployments and customer commitments.

- Manage ongoing compute partnerships: Serve as a primary commercial and operational contact for providers, coordinating capacity changes, service escalations, renewals, and contractual follow-through as business needs evolve.

- Reconcile provider performance: Review monthly availability and SLA reports against contractual commitments and internal monitoring data. Work with providers and technical teams to resolve discrepancies and capture applicable service credits.

- Manage billing accuracy and commercial adjustments: Validate charges against agreed rates, billable capacity, service periods, and delivered service. Resolve billing disputes and ensure contractual credits and adjustments are reflected.

- Coordinate timely payments: Work with Finance and Accounts Payable to ensure approved invoices are paid on time and outstanding issues are resolved, supporting continuity of critical capacity relationships.

- Maintain visibility into capacity and commitments: Track contracted capacity, spend, payment schedules, renewal dates, notice periods, provider performance, and open issues to inform commercial planning and upcoming capacity decisions.

We expect you to have:

- Experience in infrastructure partnerships, commercial operations, technology sourcing, or vendor management supporting a commercial business.

- Strong commercial judgment and the ability t

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