Antonio Galimi
About Antonio Galimi
Antonio Galimi is a Technical Customer Success Manager at EliseAI in the New York City Metropolitan Area, with over 5 years of experience in Private Equity and startups.
Company
Antonio Galimi currently works at EliseAI as a Technical Customer Success Manager. The company, located in the New York City Metropolitan Area, specializes in AI-driven solutions. His role is based on-site, where he plays a crucial part in ensuring customer success through technical support and solutions.
Technical Customer Success Manager
At EliseAI, Antonio Galimi holds the position of Technical Customer Success Manager. His role involves driving go-to-market plans to increase incremental revenue while focusing on product adoption. Passionate about transforming end-to-end experiences, he prioritizes tracking micro-conversions and optimizing the customer journey through a test-and-learn approach.
Previous Roles and Experience
Before joining EliseAI, Antonio Galimi has accumulated over 5 years of experience in private equity and startups. He worked at The Org as a Revenue Manager for one year and at Third Bridge Group Limited in various roles, including Associate - Private Equity, Project Manager - Private Equity, and Analyst, spanning from 2018 to 2021. He also interned at Carlson Capital, L.P. in 2017. Additionally, he served as President of APES Social Club Incorporated at the University of Delaware from 2016 to 2018.
Education and Background
Antonio Galimi studied at the University of Delaware, where he also served as President of APES Social Club Incorporated. His educational background has equipped him with the skills necessary for a career in private equity and customer success management.
Professional Focus and Philosophy
Antonio Galimi is passionate about evolving products and developing talent. He focuses on driving go-to-market plans and is an advocate for breaking the rules without reinventing the wheel. His approach emphasizes tracking micro-conversions and optimizing customer journeys through a continuous test-and-learn methodology.