Finance Manager, GTM

This role sits at the intersection of data and finance. You will be the analytical engine behind our go-to-market decisions, partnering with Sales, CS, Marketing, and Revenue Operations leadership to forecast the business, model go-to-market efficiency, and turn data warehouse queries into insight that shapes where we invest. The ideal person has lived in both worlds, a data or analytics role and a finance or FP&A role, and moves comfortably between a SQL query and a financial model. This is a role for someone who likes hard problems, is curious about how Sales and CS drive growth, and wants their analysis to shape real decisions.

• →GTM Planning and Reporting: Own the Sales, Marketing and CS annual and long-term planning across revenue, staffing, and resourcing
• →Cross-functional partnership: Work closely with Sales, Marketing, CS, and Analytics leadership to align go-to-market spend and targets with the financial plan, and to model ongoing investment decisions
• →Unit economics and GTM efficiency: Build and maintain models for CAC, LTV, payback, and sales and CS capacity and productivity, and use them to recommend where go-to-market spend should go
• →Data Analysis: Design analyses, validate data/numbers, and answer questions that mix financial and operational data in a clear and concise way
• →Automation and efficiency: Automate recurring GTM reporting to speed the path from data to decision

• Skills and Experience: 7+ years spanning both a data/analytics role and a finance/FP&A role, including 2+ years leading GTM or SaaS planning and forecasting, ideally at a high-growth SaaS or technology company; track record of influencing senior stakeholders and guiding analytical projects, with people management a plus; hands-on experience with go-to-market or SaaS metrics (pipeline, bookings, ARR, CAC, LTV, payback, sales efficiency); advanced SQL experience with an emphasis on outputs and structuring data into visualizations that answer a question; advanced Excel and strong financial modeling, budgeting, and forecasting; Bachelor's degree in Finance, Accounting, Economics, Statistics, or a related quantitative field
• Attributes: Fluent in both data and finance, curious about go-to-market, execution-oriented with strong ownership over accuracy and deadlines, AI-forward