1 час назад
Strategic Finance Lead (AI Infrastructure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Strategic Finance Lead (AI Infrastructure): Shaping investment decisions across AI, cloud and compute infrastructure, engineering capacity, and R&D with an accent on driver-based forecasting, infrastructure economics, and build-versus-buy analysis. Focus on designing scalable R&D finance frameworks, evaluating complex technical investments, and translating operating metrics into recommendations for the CTO and senior R&D leadership.
Location: United States; remote
Company
provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime.
What you will do
- Partner with the CTO, Head of AI, and R&D leadership on investment decisions across AI, cloud and compute infrastructure, engineering capacity, and product development.
- Build the economic framework connecting AI and cloud usage, billing, operating data, forecasts, and investment decisions.
- Lead financial evaluation of major R&D investments from business case through execution and measurement.
- Own R&D planning, forecasting, and performance management across headcount, infrastructure, software, compute, and external partners.
- Evaluate vendor commitments, technical investments, product economics, and build-versus-buy decisions.
- Translate complex R&D performance into clear recommendations for executive and board audiences.
Requirements
- 7+ years of experience in strategic finance, FP&A, investment banking, investing, consulting, business operations, or a related analytical field.
- Experience independently owning consequential work end to end, from ambiguous problem framing through recommendation and action.
- Exceptional financial and analytical skills, including driver-based forecasts, investment cases, and scalable decision frameworks.
- Strong communication and judgment for partnering with senior technical leaders and explaining financial implications clearly.
- Ability to understand how AI products and modern infrastructure are built and scaled, and translate those systems into financial insight.
- Relevant experience supporting Engineering, Product, Data Science, AI, or Infrastructure organizations, including usage-based technology costs.
Nice to have
- Applied experience using AI to improve analysis, modeling, research, or recurring workflows.
- Experience evaluating cloud, compute, AI infrastructure, vendor commitments, or build-versus-buy decisions.
- Interest in shaping and building the team supporting the function.
Culture & Benefits
- Distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington, D.C., London, and Singapore.
- High-ownership, high-velocity environment focused on experimentation, clarity, follow-through, and measurable impact.
- Direct exposure to senior leaders and substantial ownership from the beginning.
- Work at the intersection of AI, national security, and fighting crime.
- AI fluency is expected and assessed during the interview process.
Hiring process
- Applied AI fluency is evaluated during interviews.
- AI tools such as interview assistants and real-time coaching tools are not permitted during interviews without prior approval.
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