Armada
AI Factory, Value Engineer
About this role
Armada seeks a Value Engineer to build financial models and tell the business case story for Leviathan, a modular AI data center. You'll work directly with customers, investors, and government stakeholders to quantify deployment value, energy economics, and compute ROI—blending rigorous financial analysis with compelling narrative.
What you'll do
- Build full-stack financial models for Leviathan deployments including CapEx/OpEx, IRR, NPV, and sensitivity analyses
- Model customer ROI across AI training, inference, sovereign compute, and edge workload use cases
- Present tailored business cases to hyperscalers, energy companies, utilities, and government stakeholders
- Quantify macro-level economic impacts (GDP, employment, tax base) for CORE Zones and public-sector initiatives
- Support commercial structuring, pricing, and deal terms with data-driven analysis
- Maintain research-analyst perspective on AI compute trends and energy market dynamics
What they're looking for
- Financial modeling and valuation (IRR, NPV, sensitivity analysis)
- Energy and infrastructure economics
- AI compute pricing and performance metrics
- Customer-facing presentation and storytelling
- Data analysis and economic forecasting
- Deal structuring and commercial analysis
- Public policy and economic development knowledge
- Understanding of hyperscaler and neo-cloud infrastructure
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Armada
Armada builds modular, liquid-cooled data center infrastructure designed for AI and compute workloads, with a focus on deployment and optimization. The company is hiring for engineering and technical roles spanning mechanical design, field deployment, customer success, and financial analysis to support its infrastructure products.
View all jobs at ArmadaLikely interview questions
- Walk us through how you'd build a financial model for a megawatt-scale data center deployment—what are the key variables and assumptions you'd stress-test first?
- You're presenting Leviathan's ROI to both a hyperscaler's CIO and an energy company's CFO. How would you tailor the same financial story for each audience?