Finance Manager, Supply Chain

About Nscale

Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.

We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future.
About the Role

We're hiring a Finance Manager, Supply Chain to help scale the financial backbone of our global AI compute platform.

Reporting to the VP of Finance, this role sits within Finance Business Partnership and partners closely with engineering, infrastructure, operations, and procurement leadership. You'll own key areas of financial planning, cost governance, and performance analysis across high-growth AI infrastructure investments, building the models and reporting needed to support a complex, capital-intensive environment.

This role is critical to how Nscale makes smart infrastructure decisions as we grow. You'll help drive investment decisions, improve visibility into core cost drivers such as utilization, power, and capacity efficiency, and turn technical and operational complexity into clear financial insight that informs long-term capacity planning, vendor choices, and infrastructure strategy.
What you'll be doing

Financial Planning & Analysis

• Support budgeting, forecasting, and monthly reporting for AI infrastructure, including GPUs, cloud, and related platforms
• Build and maintain financial models covering capacity, utilization, and cost trends
• Analyze variances across compute, cloud, and network spend and highlight key drivers and risks
• Track and report on core performance metrics such as cost per GPU hour and utilization

Cost Analysis & Optimization

• Develop unit economics for AI workloads across training and inference
• Identify cost-efficiency opportunities across cloud usage, hardware, and vendor spend
• Partner with engineering teams to understand cost drivers and usage patterns
• Contribute analysis that supports pricing and margin improvement initiatives

Investment & Capacity Decision Support

• Build financial models to support infrastructure investment decisions
• Evaluate trade-offs across capacity expansion and deployment strategies
• Track actual performance against investment assumptions and surface variances
• Support vendor analysis and contract evaluations through financial modeling

Cross-Functional Partnership

• Partner with engineering, infrastructure, and procurement teams to support financial decision-making
• Translate technical concepts into clear, actionable financial insights
• Engage technical stakeholders to align financial analysis with operational realities

Reporting, Controls & Governance

• Produce regular reporting on infrastructure spend and performance
• Help establish cost-tracking and governance processes
• Ensure accuracy and consistency of financial data across systems and reports

About You

• 5-8 years of experience in FP&A, strategic finance, or infrastructure / cloud finance roles at a high-growth or top-tier technology company
• Advanced financial modeling skills, including scenario analysis, sensitivity modeling, and long-range planning
• Experience owning or materially contributing to forecasting and planning in a complex, usage-based or infrastructure-heavy environment
• Strong understanding of cost drivers in cloud, compute, or infrastructure systems, including utilization, capacity, and unit cost dynamics
• Demonstrated ability to partner effectively with engineering or technical teams and influence decision-making
• Track record of driving insights from large, ambiguous datasets and turning them into clear recommendations
• High proficiency in Excel / Google Sheets, with experience…