Finance Manager, AI Infrastructure

Nscale • Seattle, WA

14h • Hybrid

About The Position

Nscale is seeking a Finance Manager, AI Infrastructure to scale the financial backbone of its global AI compute platform. This role, reporting to the VP of Finance, is part of the Finance Business Partnership team and collaborates closely with leadership in engineering, infrastructure, operations, and procurement. The manager will be responsible for key areas of financial planning, cost governance, and performance analysis for high-growth AI infrastructure investments. This includes building the necessary models and reporting to support a complex, capital-intensive environment. The role is crucial for Nscale's infrastructure decision-making as the company grows, driving investment decisions, enhancing visibility into core cost drivers (utilization, power, capacity efficiency), and translating technical and operational complexity into clear financial insights for long-term capacity planning, vendor selection, and infrastructure strategy.

Requirements

• 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.
• Experience using SQL and data tools such as Looker or Tableau.

Nice To Haves

• Experience in AI, GPU cloud, or distributed infrastructure environments is a plus.
• Familiarity with unit economics, margin modeling, capital allocation, investment analysis, or capacity planning is advantageous.
• High ownership, strong analytical rigor, comfort with ambiguity, and the ability to challenge assumptions with data.

Responsibilities

• 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, highlighting key drivers and risks.
• Track and report on core performance metrics such as cost per GPU hour and utilization.
• 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.
• 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.
• 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.
• 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.

Benefits

• Highly competitive US compensation package (base + bonus + equity), with performance reviews every 12 months.
• Dynamic progression plan tailored to your ambitions.
• Flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.
• Medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed