Summary
Bailey Spell is a founder and software leader with eight years of experience building AI-enabled products and revenue operations tooling from San Francisco. After engineering roles at Microsoft where they shipped AI features into M365 and growth-focused data platform work, Bailey turned hands-on bookkeeping experience into LedgerUp, an AI agent that automates contract-to-cash workflows for B2B billing teams. They combine deep product engineering skills with practical finance operations know-how, having run AR/AP, revenue recognition, and month-end close for early-stage companies. Bailey’s work is driven by a belief that software should do the repetitive, audit-heavy work so humans can move the business, and they ship that vision as an in-Slack agent that reads contracts, invoices, reconciles usage, and posts journal entries. A Georgia Tech master’s student in machine learning and a Y Combinator founder, Bailey blends ML-savvy engineering with founder grit to tackle a quietly critical operational problem many growth-stage SaaS companies face.
8 years of coding experience
4 years of employment as a software developer
Y Combinator
Master's degree Concentration in Machine Learning, Computer Science, Master's degree Concentration in Machine Learning, Computer Science at Georgia Institute of Technology
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Virginia Tech College of Engineering