Rahul Mulchandani is an AI Product Leader at Treasure AI, where he builds AI-native products that reshape how marketers understand customers, create audiences, improve creative performance, and make smarter marketing decisions.

His work sits at the intersection of generative AI, agentic systems, customer data, paid media, and marketing intelligence. He focuses on building products that bring together fragmented customer, campaign, and creative signals and use AI to help marketers understand what is happening, why it is happening, and what to do next. 

Across his career, Rahul has built AI, machine learning, analytics, and customer data products for enterprise marketing teams. His recent work spans multimodal AI for creative understanding and optimization, AI-driven audience intelligence, marketing performance analysis, and agents that turn complex data into decisions and actions.

Rahul believes the next generation of marketing AI will go far beyond copilots and content generation. It will connect customer, media, and creative intelligence into systems that can reason, recommend, and increasingly act alongside marketers.