Sarah is a Revenue Operations leader with over a decade of experience managing RevOps tech stacks, building unified reporting systems, and applying machine learning models to improve forecasting and drive strategic decision-making. Her work has consistently helped organizations accelerate sales velocity, strengthen pipeline health, and increase revenue predictability. Sarah has partnered with multiple organizations to define ICPs, build propensity-to-buy models, implement data-driven lead scoring, and design optimized territories using machine learning.