Key skills
Financial modelingInvestment committee presentationInfrastructure financeEnergy sector knowledgeData center platformsAI compute economicsEconomic modelingCustomer-facing value engineeringResearchanalysisCommercial structuringPricing analysisIntellectual honestyEntrepreneurial mindsetBusiness acumenAIMLLeadershipSales
About this role
Armada is a full-stack edge infrastructure company delivering compute, connectivity, and sovereign AI/ML to some of the world’s most remote places. They are seeking a Value Engineer to own the financial narrative of their Leviathan deployments, engaging with customers and stakeholders to quantify value and model outcomes. This role requires strong financial modeling skills and the ability to communicate effectively with various stakeholders.
Responsibilities:
- Build and own full‑stack financial models for Leviathan deployments, including: CapEx / OpEx profiles, IRR, NPV, payback, and sensitivity analyses, Energy cost structures (gas, stranded power, grid arbitrage), Compute economics ($/TFLOP, $/rack, density‑driven margins)
- Model customer ROI across use cases (AI training, inference, sovereign compute, edge workloads)
- Quantify macro‑level impacts (regional GDP uplift, employment, tax base expansion) to support CORE Zones and public‑sector discussions
- Partner with Sales, BD, and leadership to present Leviathan’s business case to: Hyperscalers & neo‑clouds, Energy producers & utilities, Data center operators, Government and economic‑development stakeholders
- Tailor financial narratives to different buyers, CFOs, CIOs, infrastructure leads, and investment committees
- Become a trusted economic advisor, not just a modeler
- Help identify and cultivate financial champions inside customer organizations
- Support commercial structuring, pricing, and deal terms using data‑driven analysis
- Prepare materials suitable for investment committees, boards, and public‑private initiatives
- Operate with a research‑analyst mindset: Track AI compute trends, neo‑cloud economics, energy markets, and data‑center innovation
- Pressure‑test assumptions and update models as the market evolves
- Contribute to whitepapers, internal memos, and executive‑level briefings that shape company strategy
Requirements:
- Build and own full-stack financial models for Leviathan deployments, including: CapEx / OpEx profiles, IRR, NPV, payback, and sensitivity analyses, Energy cost structures (gas, stranded power, grid arbitrage), Compute economics ($/TFLOP, $/rack, density-driven margins)
- Model customer ROI across use cases (AI training, inference, sovereign compute, edge workloads)
- Quantify macro-level impacts (regional GDP uplift, employment, tax base expansion) to support CORE Zones and public-sector discussions
- Partner with Sales, BD, and leadership to present Leviathan's business case to: Hyperscalers & neo-clouds, Energy producers & utilities, Data center operators, Government and economic-development stakeholders
- Tailor financial narratives to different buyers, CFOs, CIOs, infrastructure leads, and investment committees
- Become a trusted economic advisor, not just a modeler
- Help identify and cultivate financial champions inside customer organizations
- Support commercial structuring, pricing, and deal terms using data-driven analysis
- Prepare materials suitable for investment committees, boards, and public-private initiatives
- Operate with a research-analyst mindset: Track AI compute trends, neo-cloud economics, energy markets, and data-center innovation, Pressure-test assumptions and update models as the market evolves, Contribute to whitepapers, internal memos, and executive-level briefings that shape company strategy
- Expert-level financial modeling (comfort building models from scratch)
- Ability to translate technical infrastructure into business & financial outcomes
- Confident, customer-ready communicator, you can walk a CFO through a model without hiding behind spreadsheets
- Strong written clarity, able to produce investor-grade decks and memos
- High intellectual honesty; comfortable challenging assumptions
- Entrepreneurial mindset, bias toward action, ownership, and iteration
- Investment Banking or Private Equity background, especially: Infrastructure, energy, data centers, or industrials, Experience presenting deals to investment committees
- Research-driven analysts (e.g., equity research, independent tech research) with deep curiosity about AI, semiconductors, or compute infrastructure
- Experience with: Data center platforms, Neo-cloud operators, Energy-adjacent infrastructure companies