Finance Director, GTM

Responsibilities

• Own end-to-end revenue forecasting for consumption-based products across weekly, monthly, quarterly, and annual horizons.
• Build and maintain bottoms-up models incorporating usage drivers, customer cohorts, ramp curves, contract structures, and expansion behavior.
• Partner with Data Science to align financial forecasts with statistical consumption models, usage signals, and predictive outputs.
• Refine forecasts using actuals, usage trends, pipeline changes, and GTM performance; evaluate forecast accuracy and diagnose variance.
• Build detailed financial models in Google Sheets and Excel, translating data science outputs into assumptions, scenarios, and executive-ready forecasts.
• Perform scenario, sensitivity, and stress-test analyses for pricing, packaging, and GTM strategy.
• Analyze ARR versus consumption, net dollar retention, expansion behavior, and usage efficiency by segment and customer cohort.
• Support forecasting for new GTM motions, pricing changes, and product launches.
• Lead headcount and tooling investment planning, including hiring roadmaps, tooling needs, and expense forecasts.
• Develop scalable forecasting processes in a hypergrowth environment with incomplete historical data.
• Prepare insights and materials for QBRs, executive reviews, and board discussions.
• Partner with Accounting on revenue recognition considerations and usage-based billing variance analysis.
• Support annual planning, rolling forecasts, budget updates, and identification of revenue-model risks and opportunities.

Requirements

• 8–10 years of relevant experience.
• Early-career experience in investment banking, private equity, venture capital, revenue-focused FP&A, or strategic finance at a high-growth technology company.
• Experience operating in a hypergrowth environment.
• Direct experience forecasting consumption-based or usage-driven revenue strongly preferred.
• Expert-level Excel and Google Sheets skills, including independently building complex, multi-layered financial models.
• Strong understanding of revenue forecasting mechanics, cohort analysis, ramp modeling, and expansion dynamics.
• Ability to partner with Data Science and Analytics teams and translate model outputs into financial forecasts and decisions.
• Ability to evaluate model performance, understand forecast-error drivers, and iterate assumptions.
• Strong judgment under uncertainty, clear communication, and high ownership.

Nice to Have

• Experience with SaaS and cloud metrics, including NDR, usage efficiency, product margin, CAC payback, and LTV.
• Familiarity with NetSuite, Salesforce, Snowflake, or modern BI platforms.
• Experience working with Data Science teams on forecasting or predictive modeling.
• MBA or CFA.

Compensation

• Annual salary range: $189,200–$310,400.