Go-To-Market Recruiter
Hippocratic AIFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
The ideal candidate will have 8+ years of experience in FP&A, Strategic Finance, or Sales Finance within a SaaS or high-growth technology company, with a strong emphasis on B2B experience. A deep understanding of SaaS GTM metrics such as pipeline coverage, win rates, CAC, LTV, and productivity ratios is essential. The role requires strong modeling, forecasting, and analytical skills, with the proven ability to distill insights into executive-ready recommendations and influence at all levels, especially with Sales and Marketing executives. Experience in building and scaling GTM planning and reporting processes is also necessary.
The Director of GTM Finance will partner with the CFO, CRO, and senior leadership to drive revenue growth and commercial excellence, acting as the finance owner for the go-to-market engine. Key responsibilities include providing financial insight across Sales, Marketing, Partnerships, and Customer Success, managing GTM forecasting (bookings, pipeline coverage, win rates, sales cycle analysis, productivity metrics), and leading annual and quarterly planning for headcount, capacity, quota deployment, and compensation structures. The role involves building and maintaining SaaS unit economics models, analyzing sales and marketing funnel efficiency, collaborating with RevOps on sales capacity planning, and providing strategic insights on pricing, packaging, and partner economics to maximize revenue growth and margin profile. Additionally, the Director will build GTM financial models for scenario planning and board-level reporting, serving as a trusted advisor to GTM leadership.
AI-driven software for radiology workflows
Rad AI enhances radiology workflows using artificial intelligence to improve efficiency and accuracy in radiological practices. Its main product, Omni Reporting, automates routine tasks, ensures follow-up on incidental findings, and improves reporting accuracy. This software integrates seamlessly into existing workflows, making it easier for radiologists to manage their tasks. Unlike competitors, Rad AI emphasizes data security and patient privacy, being SOC 2 Type II and HIPAA certified. The company's goal is to provide reliable AI-driven solutions that streamline healthcare processes and improve patient outcomes.