Infrastructure Finance Lead

Responsibilities

Compute & Infrastructure Strategic Finance

• Own Strategic Finance for all live compute spend, including Cloud and GPU Capacity.
• Build and maintain per-region and per-partner cost forecasts; refresh on a cadence that supports monthly business reviews and quarterly board reporting.
• Run budget-vs-actual on capacity commitments and infrastructure programs, tracking expected eventual spend against approved commitments and customer-driven demand.

Strategic Projects

• Lead financial analysis for capacity-mix decisions, multi-region buildouts on key infrastructure components.
• Handle operational finance asks tied to compute partners and live capacity — pricing reviews, true-ups, capacity reshuffles, and contract amendments.
• Partner with the Infra and BD leads on deal-to-operations handoffs, ensuring budgets set at contract signing are operationalized at go-live and tracked through their full term.
• Build the analytical backbone for gross margin, COGS attribution by customer and model family, and infrastructure ROI on new capacity bets.

Requirements

• 7-10+ years of investment banking experience in Infrastructure.
• Strong financial modeling, analytical, and problem-solving skills with the ability to independently see issues through to resolution, including building complex unit-economics and capacity-planning models.
• Comfort being the finance person in the partner/vendor room and partnering with deeply technical operating teams (infra engineering, capacity, SRE).
• Proven track record of managing multiple work streams under tight timelines, with best-in-class attention to detail and unwavering commitment to accuracy.
• Exemplary interpersonal skills to translate financial data into actionable insights for senior leadership and non-finance stakeholders.
• Strong enthusiasm about technology and artificial intelligence, and a desire to work at the intersection of finance and the compute supply chain powering the AI era.

Nice-to-Haves

• Direct experience with cloud commitment economics (committed-use discounts, reserved capacity, savings plans), GPU procurement.
• Experience managing finance cadence with a third-party cloud, colocation, or managed-services provider.
• Background in AI, ML, or high-performance, large-scale computing infrastructure.

Benefits

• Competitive compensation, including meaningful equity.
• 100% coverage of medical, dental, and vision insurance for employee and dependents.
• Flexible PTO policy including company wide Winter Break.
• Paid parental leave.
• Fertility and family-building stipend through Carrot.
• Company-facilitated 401(k).
• Exposure to a variety of ML startups.