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Sail Research is building foundational agentic AI infrastructure. As the first dedicated finance hire, you will own the complete financial operations and strategy for the company.
Key responsibilities include:
• Build and own Sail's operating P&L from the ground up—the single source of truth connecting GPU cluster unit economics (cost per GPU-hour, utilization, depreciation, power costs) to product pricing and actual financial performance.
• Partner cross-functionally on board materials, including financial modeling, data room preparation, and diligence support.
• Stand up Sail's first FP&A process: budgeting, forecasting, and financial planning appropriately sized for an early-stage company.
• Develop headcount and opex planning models as the team scales; own burn rate and runway tracking.
• Work closely with the Head of Business Development on compute procurement, GTM decisions, and the financial engineering behind them.
You will be a builder creating systems from scratch, not maintaining templates. This role requires genuine fluency in financial modeling, comfort with ambiguity, and judgment about what to build now versus later.
Required experience: 5–8+ years in finance roles with real modeling depth (investment banking, growth equity, private equity, corporate development, or strategic finance/FP&A at high-growth companies). Infrastructure or capital-intensive business experience (data centers, energy, equipment leasing) is a strong plus. Bonus: exposure to usage-based/consumption billing revenue recognition or experience inside GPU clouds, data centers, or infrastructure-as-a-service businesses.
Sail operates out of a downtown San Francisco office with a collaborative, well-resourced environment. The interview process includes meetings with leadership, a take-home case study, and a final team presentation.
