Summary
Matthew Cohen is a director-level sales engineering leader and former entrepreneur with a decade of focused experience at the intersection of data science, software engineering, and go-to-market strategy. He has led and scaled data science teams at DataRobot and now drives sales engineering at Mastercard, blending technical architecture, modeling expertise, and MEDDPICC-informed sales enablement to convert advanced analytics into measurable business impact. His background founding and running three boutique software and consulting firms gives him rare end-to-end fluency—from patent analysis and deal structuring to building production recommender and trading systems. A hands-on builder, he taught himself and deployed machine learning systems (including a public trading-engine repo) and has delivered high-ARR results through customer-centric technical leadership. Based in San Francisco, he pairs creative entrepreneurial instincts with rigorous delivery standards and a knack for translating complex ML solutions into commercial value.
10 years of coding experience
11 years of employment as a software developer
Music Composition, Music Composition at California Institute of the Arts
Finance, Finance at University of California, Berkeley
Psychology, Psychology at UC Santa Barbara
Data Science Bootcamp Data Science and Machine Learning, Data Science Bootcamp Data Science and Machine Learning at Galvanize Inc