Tyler Folkman is a seasoned AI and product leader with 12 years of experience building production-grade machine learning systems and scaling AI teams across SaaS businesses. As Chief AI Officer at JobNimbus he is driving an AI transformation that saves contractors hours daily, having previously scaled TubeBuddy to serve 16M+ YouTube creators as GM & CTO and led cross-functional AI orgs at BENlabs and Ancestry. He blends hands-on technical depth (MS in Computer Science from UT Austin, patents and published research) with P&L and general management experience, teaching applied ML at BYU along the way. Tyler is known for turning messy, real-world problems into usable AI products and for sharing practical, non-hype perspectives on what actually works in AI. Outside of product work he chairs regional AI initiatives and advises the University of Utah’s MS Business Analytics program, signaling a commitment to building the ecosystem as well as products.
12 years of coding experience
11 years of employment as a software developer
Bootcamp, Deep Reinforcement Learning, Bootcamp, Deep Reinforcement Learning at University of California, Berkeley
Master's degree, Computer Science, 4.00, Master's degree, Computer Science, 4.00 at The University of Texas at Austin
Self-Driving Car Engineer Nanodegree, Computer Science, Self-Driving Car Engineer Nanodegree, Computer Science at Udacity
Bachelor of Arts (BA), Economics; Minor in Mathematics, 3.7, Bachelor of Arts (BA), Economics; Minor in Mathematics, 3.7 at Brigham Young University
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