Finance Manager, Supply Chain

Nscale•Seattle, WA

4d•$110,000 - $185,000•Hybrid

About The Position

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.

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, with experience using SQL and data tools such as Looker or Tableau
High ownership, strong analytical rigor, comfort with ambiguity, and the ability to challenge assumptions with data

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

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 and highlight 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