Summary
Anjana Rao is a product manager and former software engineer with 11 years of experience building data-informed, user-centered products at companies ranging from Workday and Gusto to Intel. She combines technical depth in full-stack development and systems architecture with rigorous quantitative training—currently pursuing an MA in Quantitative Methods at Columbia—bringing experiment design, linguistic ML, and behavioral-science insights into product decisions. At Workday she helped launch and scale a higher-education cloud product and served as an interim PM for payments, and at Gusto she led A/B testing, metrics, and workflows to improve customer help experiences. Now at Equip, she focuses on crafting products that both excite and empower users, leveraging hands-on engineering experience to bridge design and delivery. Uncommonly, her master’s thesis applied linguistic analysis to predict support preferences among people in mental-health distress, signaling a knack for combining empathy, social science, and statistical modeling. Based in New York, she excels at turning complex technical trade-offs into practical, measurable product outcomes.
11 years of coding experience
6 years of employment as a software developer
MBA Cross-Registered Coursework, MBA Cross-Registered Coursework at Columbia Business School
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Case Western Reserve University
Master of Arts - MA, Quantitative Methods (Concentration in Data Science), Master of Arts - MA, Quantitative Methods (Concentration in Data Science) at Columbia University
Lynbrook High School
Spanish, English, Telugu