Wanna move past theoretical frameworks and learn how to evaluate AI use cases?
How to Build, Scale &
MARKET PRODUCTS
in the Generative Era
How to separate high-impact AI opportunities from distracting gimmicks, ensuring your engineering resources are deployed on features that drive retention.
Step-by-step methodologies for phasing AI integration into legacy products without disrupting existing enterprise workflows.
How to translate complex technical architectures into compelling marketing narratives that sales teams can easily communicate to non-technical buyers.
Moving beyond vanity metrics to track how effectively your users are engaging with new AI features and where they are getting stuck.
Evaluating, prioritizing, and integrating Generative AI capabilities into enterprise platforms without falling into the trap of superficial "AI washing."
Managing the end-to-end product lifecycle for technical, high-stakes environments, ensuring security, scalability, and seamless user adoption.
Bridging the traditional silos between product development, engineering, and marketing to ensure cohesive product launches and unified messaging.
Analyzing user journeys to pinpoint exactly where automation and machine learning can replace manual workflows and accelerate time-to-value.
Tal Zaguri is a Senior Product Manager at JFrog and a recognized authority on integrating artificial intelligence into complex B2B SaaS environments. Operating at the intersection of deep technical infrastructure and user-centric design, Tal specializes in cutting through the hype of Generative AI to build features that drive actual enterprise value and scalable growth.
Tal brings the rare perspective of someone currently operating in the trenches of a global, publicly traded DevOps leader like JFrog. He isn’t teaching abstract theories; he is sharing the exact frameworks used to build and deploy complex products at scale.
No testimonials found.
price of a weekly Group session
Coming soon...