Matthew Saleski
Michigan
Overview
Matthew Saleski is a Fractional VP of Customer Success, leveraging a unique blend of engineering, design, and business strategy to drive exceptional client outcomes. He specializes in building AI-enabled Go-To-Market (GTM) engines that enhance customer acquisition, engagement, and retention.
About
Matthew Saleski brings a distinctive approach to customer success leadership, specializing in the development and implementation of AI-enabled Go-To-Market (GTM) engines. His expertise spans advanced techniques such as RAG (Retrieval Augmented Generation), agentic workflows in production, predictive scoring, and Generative Engine Optimization (GEO). By strategically integrating these cutting-edge AI solutions, he empowers organizations to optimize their entire customer journey, from initial engagement to sustained loyalty. This data-driven methodology directly contributes to enhanced customer satisfaction and retention by ensuring better-fit customers are acquired and nurtured effectively. Matthew's work has consistently delivered significant business impact, including achieving 35–60% pipeline growth within six months through optimized GTM strategies. His multidisciplinary background, combining engineering, design, and business strategy, provides a holistic perspective that transforms customer success functions into powerful growth engines.
Education
MBA, Chicago Booth; BFA, Parsons School of Design; BS, Industrial & Operations Engineering, University of Michigan