Hyperbound
Jonathan Tran is a Machine Learning Engineer at Hyperbound since August 2024, contributing as a founding member. Previously, Jonathan worked at LeanData from September 2020 to August 2024, initially as a Data Analyst, then Sr. Data Analyst, and ultimately as Manager of Data Analytics, where collaboration with executive and senior leadership was key. Prior experience includes serving as a Part-Time Professor and Guest Lecturer at Northeastern University, focusing on Data Visualization and Tableau, and holding various positions at Santander Bank, N.A., culminating in a Senior Business Intelligence Analyst role that involved designing applications and databases. Jonathan holds a Master's degree in Information and Data Science from the University of California, Berkeley, and a Master of Science in Business Analytics from Northeastern University.
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Hyperbound
Hyperbound is a simulated AI sales roleplay platform that turns ICP descriptions into interactive AI buyers in less than 2 minutes. It helps your sales team onboard 50% faster and boosts your team's conversions on cold, warm, & discovery calls. Every sales team wants to do more roleplays, but it's often unscalable and biased. Instead of having your sellers practice on real prospects and burn leads in the process, Hyperbound allows your reps to get realistic at-bats with an AI buyer. Sellers can finally gain call confidence and mastery in a simulated environment that doesn't put your pipeline at risk and gives time back to your managers. Interested in trying it out today? Start a free demo simulation at hyperbound.ai and contact us at founders@hyperbound.ai for next steps.