Finance Manager, AI Infrastructure

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.

Nscale is seeking a Finance Manager, AI Infrastructure to partner with engineering and operations leadership in scaling the financial backbone of our global AI compute platform. Reporting to the VP of Finance, this role is responsible for owning financial planning, cost governance, and performance analysis across high-growth AI Infrastructure investments.

AI infrastructure is capital intensive and operationally complex. This role will build financial models that drive investment decisions, optimize unit economics across compute workloads, and establish visibility into cost drivers such as utilization, power, and capacity efficiency. The Finance Manager will work cross-functionally to implement robust forecasting, track ROI on infrastructure deployments, and support strategic decisions on build vs. buy, vendor selection, and long‑term capacity planning.

This is a high‑impact finance role requiring strong analytical rigor, experience with infrastructure or cloud cost models, and the ability to translate technical concepts into actionable financial insights.

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

• Support development of unit economics for AI workloads (training and inference).
• Identify cost efficiency opportunities across cloud usage, hardware, and vendor spend.
• Partner with engineering teams to understand drivers of cost and usage patterns.
• Contribute to analysis supporting pricing and margin improvement initiatives.

• Build financial models and analysis to support infrastructure investment decisions.
• Assist in evaluating trade‑offs across capacity expansion and deployment strategies.
• Track actual performance against investment assumptions and highlight variances.

• Partner with engineering, infrastructure, and procurement teams to support financial decision-making.
• Translate technical concepts into clear, actionable financial insights.
• Support vendor analysis and contract evaluations through financial modeling.

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

• 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 (e.g., utilization, capacity, unit cost dynamics).
• Demonstrated ability to partner effectively with…