Role Details- Full-Time
- Office Location - New York City (preferred)
Role OverviewWe are looking for an experienced healthcare FP&A person with a strong understanding of how finance teams at enterprise healthcare provider organizations (medical groups, health systems) plan, forecast, analyze, and report on business performance. We have incredible product-market fit and demand across diverse customer profiles. Executing on this demand requires a deep understanding of our customers' financial planning workflows and how those workflows can be accelerated by AI systems.
What You'll DoTo facilitate the development of these systems, you will:
- Develop and deliver subject-matter expertise in financial planning & analysis to support AI research
- Work closely with our engineering, product, and design teams to define and develop AI systems for FP&A workflows
- Build proprietary benchmarks and datasets to evaluate models and AI Agents against real-world FP&A tasks - including forecasting, variance analysis, scenario modeling, board reporting, and more
- Partner directly with customers to understand their planning cycles, identify pain points, and translate complex financial and business requirements into technical solutions
What You Have- 7 years of experience in FP&A, corporate finance, investment banking, or an equivalent finance function - ideally with exposure to budgeting, forecasting, financial modeling, and management reporting
- Strong proficiency with financial models, spreadsheets, and common FP&A tools (e.g., Excel, Google Sheets, Anaplan, Adaptive, NetSuite, Strata or similar)
- Demonstrated ability to deliver high-quality financial analysis on demanding deadlines
- Ability to effectively communicate with a variety of internal and external stakeholders and translate complex problems between finance, product, and engineering teams
- Ability to define positive outcomes in situations with underspecified success criteria
- Deep intellectual curiosity and eagerness to learn across domains - particularly at the intersection of finance and AI
- Willingness and desire to do work in the trenches - e.g., grading hundreds of model-generated forecasts, breaking down thousands of financial documents, stress-testing outputs against real-world standards. Getting AI to do analyst-level FP&A work requires a lot of things that look like analyst-level FP&A work
Nice to Have- Experience at a high-growth startup
- Familiarity with SQL, Python, or other data tools
- Prior exposure to AI/ML concepts or prompt engineering
Anticipated compensation: $175,000 - $250,000 and Equity
