Gtm Lead Financial Analyst

Crusoe · Data AI · San Francisco, CA - US · Accounting and Finance

This role is for a GTM Lead Financial Analyst at Crusoe, an AI infrastructure company. The analyst will be responsible for financial planning and analysis for the Cloud business, focusing on revenue forecasting, long-range planning, and supporting the GTM/Sales organization. The role requires strong financial modeling skills and experience with SaaS/IaaS business models.

What you'd actually do

  1. Own the monthly revenue forecast across all cloud products and customer segments.
  2. Own the long-range revenue forecast that feeds into the company’s consolidated LRP.
  3. Partner closely with Sales leadership and RevOps to analyze and model sales compensation structures — including quota setting, commission rates, accelerators, SPIFs, and attainment scenarios.
  4. Serve as the embedded finance partner to the GTM / Sales organization.
  5. Support financial analysis for customer deal structuring.

Skills

Required

  • 5+ years of experience in investment banking, venture capital, financial planning & analysis, or corporate finance
  • Excellent skills in financial modeling and forecasting, particularly revenue and consumption-based models
  • Strong understanding of SaaS / IaaS / Cloud business models, revenue recognition, and GTM metrics (ARR, net retention, bookings, consumption growth)
  • Experience partnering with Sales or GTM organizations as a finance business partner
  • Strong interpersonal, written, and oral communication skills
  • Team player who can work well independently and with limited direction
  • Working knowledge of accounting principles and financial statements
  • Detail-orientation with a focus on accuracy and precision

Nice to have

  • MBA or technical degree (e.g., engineering, math, economics)
  • Experience in businesses related to artificial intelligence, cloud infrastructure, enterprise software, and/or AI chip development
  • Experience with sales compensation modeling and plan design
  • Familiarity with GPU cloud or managed infrastructure business models

What the JD emphasized

  • revenue forecast
  • long-range revenue planning
  • GTM Compensation Analysis
  • Cloud Deal Analysis