Commercial Finance Lead

What You Will Be Responsible For

• Owning the forward-looking commercial model and bottoms-up forecast, including its data, methodology, and assumptions across pipeline, conversion, customer usage, retention, expansion, sales capacity, and timing.
• Providing FP&A with the commercial outlook and operating assumptions used to forecast revenue, spending, margin, and cash.
• Building complex cohort and financial dashboards covering acquisition channels, customer profiles, conversion, usage, churn, expansion, and unit economics.
• Identifying leading indicators, pressure-testing growth targets, and flagging risks before they appear in financial results.
• Analyzing performance against plan and translating underlying drivers into risks, opportunities, and recommended actions.
• Evaluating investments across sales capacity, marketing programs, customer expansion, partnerships, and new routes to market.
• Supporting pricing, promotions, and discounting decisions through analysis of customer value, revenue quality, consumption behavior, and margin.
• Partnering with Revenue Operations, Sales, Marketing, Customer Success, and FP&A to align assumptions, set targets, identify investment needs, and drive action.
• Preparing clear, executive-ready materials for leadership and Board discussions, communicating conclusions, assumptions, and recommendations in an easily digestible manner.
• Applying emerging AI technologies to accelerate analysis, improve forecasting, and expand your capacity for high-leverage work.

About Tiger Data

Tiger Data, formerly Timescale, empowers developers and businesses with the fastest PostgreSQL platform designed for transactional, analytical, and agentic workloads. Trusted globally by thousands of organizations, Tiger accelerates real-time insights, drives intelligent applications, and powers critical infrastructure at scale. As a globally distributed, remote-first team committed to direct communication, accountability, and collaborative excellence, we're shaping the future of data infrastructure, built for speed, flexibility, and simplicity.