• Own the end-to-end revenue forecast for consumption-based products, including short-term (weekly/monthly) and long-range (quarterly/annual) views. • Build and maintain bottoms-up forecasting models that incorporate usage drivers, customer cohorts, ramp curves, contract structures (committed vs. PAYG), and expansion behavior. • Partner closely with Data Science to align financial forecasts with statistical consumption models, usage signals, and predictive outputs. • Continuously refine forecasts based on actuals, usage trends, pipeline changes, and GTM performance - iteration speed and accuracy are core expectations. • Develop and maintain highly detailed financial models in Google Sheets and Excel; this role requires expert-level proficiency. • Support a business that is scaling rapidly, where historical data is imperfect and judgment matters. • Prepare materials and insights for QBRs, executive reviews, and board discussions, with a focus on revenue predictability, risk, and forecast confidence.