Finance Manager, GTM (SaaS)

Location: United States; remote

Base salary: $160,000–$185,000 annually, plus equity and comprehensive benefits.

Company

AI growth platform for real estate professionals, serving more than 90,000 users and operating as a Series C company with $100M in annual recurring revenue.

What you will do

• Own annual and long-term Sales, Marketing, and Customer Success planning for revenue, staffing, and resourcing.
• Partner with Sales, Marketing, Customer Success, Revenue Operations, and Analytics leadership to align GTM spend and targets with the financial plan.
• Build and maintain models for CAC, LTV, payback, sales and CS capacity, and productivity.
• Design analyses, validate financial and operational data, and turn data warehouse queries into clear insights.
• Recommend GTM investment priorities based on efficiency and unit economics.
• Automate recurring GTM reporting to accelerate data-driven decisions.

Requirements

• 7+ years of experience spanning both data/analytics and finance/FP&A roles, including 2+ years leading GTM or SaaS planning and forecasting.
• Experience ideally gained at a high-growth SaaS or technology company, with a record of influencing senior stakeholders and guiding analytical projects.
• Hands-on experience with pipeline, bookings, ARR, CAC, LTV, payback, and sales efficiency metrics.
• Advanced SQL experience, including structuring data into visualizations that answer business questions.
• Advanced Excel skills and strong financial modeling, budgeting, and forecasting experience.
• Bachelor’s degree in Finance, Accounting, Economics, Statistics, or a related quantitative field.
• Fluency in both data and finance, curiosity about GTM, strong ownership of accuracy and deadlines, and an AI-forward mindset.

Nice to have

• People management experience.

Culture & Benefits

• Remote work arrangement for the United States.
• Collaborative, agile, and execution-oriented environment.
• Equity and comprehensive benefits.
• Opportunity to influence investment decisions and the development of AI-powered real estate technology.