Senior Finance Manager, GTM

About Us Temporal is an open source programming model that can simplify code, make applications more reliable, and help developers focus on the important things like delivering features faster. We are on a mission to be the reliable foundation of every developer’s toolbox, and are building the team that will make that happen. Our values guide us —they are present in how we show up, make decisions, and work together to make an impact. We’re curious, driven, collaborative, genuine and humble. Temporal is growing and we are looking for those who share our values, challenge 'standard' thinking, and want to influence our future. If you have a passion for improving the developer experience, building world-class open-source software and communities, and want to be a part of our amazing team, we'd love to hear from you! Summary We are seeking a highly analytical, execution-oriented Senior Finance Manager to be based in San Francisco, CA and to own revenue forecasting and financial modeling for a consumption-based, high-growth business. This role is critical to how we understand, predict, and scale revenue in a usage-driven model where accuracy, iteration speed, and judgment under uncertainty matter. This role will work in close, ongoing partnership with a dedicated Data Scientist focused on consumption forecasting, combining financial judgment and GTM context with statistical modeling, usage data, and predictive analytics. Together, you will build, test, and evolve the company’s core consumption and revenue forecasting frameworks. The person in this seat must be deeply hands-on in Excel / Google Sheets, capable of building and rebuilding complex forecasting models, and comfortable iterating daily as new data, usage patterns, and GTM motions evolve. The ideal candidate has early career training in investment banking, private equity / venture capital, or revenue-focused FP&A, followed by experience supporting a technology startup during its hypergrowth period, ideally with a consumption or usage-based revenue model. You will partner closely with GTM leadership, RevOps, Data, Product, Accounting, and consumption forecasting Data Science to drive forecasting accuracy, revenue predictability, and decision-making at scale. What You’ll Do Revenue Forecasting in a Consumption Model 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. Deeply Hands-On With Financial Modeling Develop and maintain highly detailed financial models in Google Sheets and Excel; this role requires expert-level proficiency. Translate outputs from data science models into clear financial assumptions, scenarios, and executive-ready forecasts. Perform scenario analysis, sensitivity analysis, and stress-testing to inform pricing, packaging, and GTM strategy. Translate ambiguous or incomplete data into structured assumptions and clearly documented models. Partner Closely With GTM, RevOps, and Data Work directly with Sales, RevOps, and GTM leadership to connect pipeline, bookings, usage, and revenue outcomes. Collaborate tightly with Data Science to evaluate forecast accuracy, diagnose variance, and improve model signal over time. Analyze ARR vs. consumption dynamics, 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, partnering with functional leaders