Co-Founder & CTO at Taboola
Co-founding Taboola and architecting the large-scale machine learning and recommendation technology that made native content advertising a mainstream monetization channel for premium publishers globally.
Last updated Mar 28, 2026 by AI Enrichment
Yaniv Navot is best known as a co-founder and the Chief Technology Officer of Taboola, the global leader in content discovery and native advertising. Since co-founding the company, he has been a central architect of the technology infrastructure that powers one of the internet's most pervasive recommendation engines, delivering hundreds of billions of content recommendations each month across thousands of premium publisher websites worldwide. His engineering vision has been foundational to Taboola's ability to operate at massive scale while continuously optimizing relevance and monetization for both publishers and advertisers. Under Navot's technical leadership, Taboola has built sophisticated machine learning and data systems capable of processing enormous volumes of user signals in real time to serve personalized content recommendations. This technology underpins the native advertising model that has become a significant revenue stream for major digital publishers globally. His work sits at the intersection of large-scale distributed systems, machine learning, and advertising technology, making him a key figure in the evolution of native advertising as a discipline. Taboola went public on the Nasdaq in 2021 through a SPAC merger, a milestone that reflected the scale and maturity of the platform Navot helped build. Throughout the company's growth from a startup to a publicly traded global enterprise, he has maintained responsibility for the technical direction of a platform that competes with and complements major programmatic advertising ecosystems. His tenure represents over 15 years of continuous impact on how content is discovered and monetized across the open web.
Taboola (2007-2012)