Jonathan Ultis is a seasoned software and AI leader with over 12 years of experience building large-scale machine learning platforms and developer ecosystems, most recently serving as Chief Architect, AI & Data at Zillow. He led cross-organizational programs (the Zillow Velocity Program) that aligned engineering leaders, accelerated microservices adoption, and channeled 15% of product time into continuous technology improvement. Jonathan has hands-on experience delivering ML-driven consumer products like Zestimate and real-time re-estimation, and he has recruited and mentored engineers across levels including senior leadership. After 14 years at Zillow he’s on sabbatical in Seattle, focused on family while exploring new areas at the intersection of applied ML and product design. Colleagues know him for turning technical strategy into practical platforms that empower teams to ship quickly and reliably. His background includes building document-oriented databases and early NLP/search systems, reflecting deep roots in both infrastructure and applied AI.
12 years of coding experience
15 years of employment as a software developer
University of California San Diego
BS, Math, Computer Science, BS, Math, Computer Science at Harding University
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