Shriram Sridharan is the Co-founder and CTO of Rox, an AI-first revenue operating system that helps enterprise sales teams research accounts, automate workflows, and act on timely customer insights. He helps lead the company's product and technical strategy, building AI agents that make sales processes more focused, efficient, and repeatable. Before Rox, Shriram held engineering leadership roles at Confluent and Amazon Web Services, where he worked on scalable data and cloud infrastructure. His work focuses on using AI to turn complex revenue operations into practical systems that help teams win.

Enterprise sales can do more than track leads and manage deals — it can surface the right signals, automate repetitive work, and give teams more time to build customer relationships. But what separates a sales team using AI as another tool from one using AI agents to actually move revenue forward?

Shriram Sridharan, a technical leader who has built large-scale systems at AWS and Confluent, says the key is using revenue agents to automate or augment the entire revenue lifecycle. He highlights the importance of connecting customer data, public signals, and internal workflows so AI can handle account research, meeting preparation, outbound personalization, and RFP detection. Instead of forcing account executives to switch between tools or spend hours on manual research, Shriram explains how agents can deliver the work behind the scenes with a human in the loop. The result is a more focused sales organization where teams spend less time on grunt work and more time generating pipeline, preventing churn, and growing revenue.

In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz sits down with Shriram Sridharan, Co-founder and CTO of Rox, to discuss how revenue agents are reshaping enterprise sales. Shriram breaks down AI agent orchestration, sales signals, data warehouses, outbound automation, and RFP detection. He also shares his founder journey and key influences.