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 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.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
251-500 employees