[SaaS & AI Series] Why Revenue Agents Could Reshape Enterprise Sales With Shriram Sridharan

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.

Here’s a glimpse of what you’ll learn:

• [4:52] Shriram Sridharan explains how Rox builds revenue agents for enterprise teams
• [7:24] Why customer data is moving from business systems into the warehouse
• [12:34] Rox’s enterprise-first strategy and durable revenue model
• [19:39] MongoDB’s approach to top-of-funnel automation and personalization
• [23:22] The vision for AI agents that handle sales workflows end-to-end
• [31:00] How WSP uses Rox to detect RFPs and uncover major opportunities
• [37:47] Shriram shares his founder journey, mentors, and entrepreneurial inspiration

In this episode…

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.

Resources mentioned in this episode:

• Shriram Sridharan on LinkedIn
• Rox
• Datadog
• MongoDB
• WSP
• Bynder
• Extreme Ownership: How U.S. Navy SEALs Lead and Win by Jocko Willink and Leif Babin
• 20VC 

Special mentions:

• Ishan Mukherjee on LinkedIn
• Diogo Ribeiro on LinkedIn
• Christopher Ré

Related episodes:

• “[SaaS & AI Series] Smarter Way To Turn Meetings Into Outcomes With Artem Koren” on the Inspired Insider Podcast
• “[SaaS & AI Series] AI Disruption and the New Future of SaaS With Kevin Surace” on the Inspired Insider Podcast
• “[SaaS Series] Revolutionizing Data Exploration for Everyone With Mike Palmer” on the Inspired Insider Podcast
• “[SaaS & AI Series] Lessons in Leadership With HubSpot Co-founder Brian Halligan’s AI Clone” on the Inspired Insider Podcast
• “[SaaS Series] Cloning Minds With Dara Ladjevardian of Delphi” on the Inspired Insider Podcast
• “[SaaS Series] Revolutionizing Online Forms and Productivity With Aytekin Tank of Jotform” on the Inspired Insider Podcast

Quotable moments:

• “Ultimately, sales is still human-to-human. People just still buy from human.”
• “We want to push the agents to do work for you. The end-to-end work artifact delivered.”
• “Every enterprise is now opening the door to AI transform their entire org.”
• “Revenue agents can help with the top line. They can actually help you generate more revenue or prevent churn.”
• “It’s not the volume. It’s the timing and the content.”

Action steps:

1. Automate repetitive sales tasks: Removing manual work like prospect research, CRM updates, and meeting prep helps sales teams spend more time with customers.
2. Centralize customer data in the warehouse: Bringing data from CRMs, support tools, product usage, and other systems together creates stronger context for AI-driven decisions.
3. Use signals to guide outreach: Identifying timely buying signals helps teams personalize outbound efforts, improve reply rates, and focus on higher-quality opportunities.
4. Keep humans involved in key sales moments: AI agents can handle background work, but human relationships remain essential for trust-building and closing enterprise deals.
5. Measure AI by revenue outcomes: Evaluating agents based on meetings booked, pipeline generated, opportunities closed, and churn prevented ensures technology drives real business value.

Episode Transcript

Dr. Jeremy Weisz: 00:15

You are listening to Inspired Insider with your host, Dr. Jeremy Weisz.

Dr. Jeremy Weisz: 00:22

Dr. Jeremy Weisz here, Founder of InspiredInsider.com, where I talk with inspirational entrepreneurs and leaders. Today is no different, I have Shriram. He is the co-founder of Rox. You can check him out at Rox.com. That’s R-O-X.com. You’ll have to tell me how you got a three letter domain. That’s a feat in itself, Ram. But before I formally introduce you, I always like to point out other episodes of the podcast people should check out. Since this is part of the top SaaS and AI series, some other cool companies on here.

And Ram, we were talking about this before we hit record, which is Artem, the co-founder of Sembly which is true AI, right. They’ve been doing it for not just the past year or two, but over seven years, I think at this point. So it’s really a true AI native company. Kevin Surace, it talked about it as well on his interview really, he talked about disruption in the new future of SaaS on that. And, you know, Mike Palmer was CEO of Sigma Computing. He talks about data exploration, you know, data exploration analysis. And they grew, at least when I talked to him, like going from 2 million to 100 million over three years. And they raised $200 million in funding round in a short period of time. So it was interesting to hear that journey and many more on InspiredInsider.com. And it’s funny, Ram also, I had one of the co-founders of HubSpot on. But their AI clone. I did not interview them. Okay. But Delphi dead AI helps people clone themselves from like a voice perspective so you can interact with people. And so I had Dara, and he’s in San Francisco. So maybe you know him. But I had him on, I interviewed his AI clone and then I had him on separately on the same interview, just to compare notes to see how his AI clone did. And so I had Brian Halligan’s AI clone on the podcast as well. So that was fun.

But this episode is brought to you by Rise25. At Rise25, we help businesses connect to their dream relationships. We do that in a couple ways. We’re an easy button for a company to launch and run a podcast. We do the strategy, accountability, and the full execution. And number two, an easy button for companies gifting. So, you know, if you want to send cool stuff to your clients, your partners, your prospects, even staff from a culture perspective, give us the addresses. We’ll do everything else. It’s not like a mug with a logo on it. We’d like to. I like to get food, so we send food. So think every 3 to 4 months, sending something a sweet treat in the mail for 4 to 5 years.

So that’s for me. Ram we were chatting about, we both went to Wisconsin. The number one thing in my life is relationships. And I always look at ways to give to those relationships. And I found no better way to profile the people I admire in the podcast and send them sweet treats in the mail. So check out Rise25.com.

I am really excited to introduce this modest, I mean, Shriram is a really modest person. He’s Co-founder and CTO of Rox and Rox builds revenue agents for the global 2000. He’ll talk about what that means. And it’s a warehouse native AI revenue platform, which basically orchestrates autonomous agents across entire revenue lifecycle. And he’ll go into the details, how that works, but his background is incredible. As a former founding engineer on Amazon, Aurora, and an early engineer at Confluent. You know, where he helped build systems that scaled from zero to billions in revenue. Their company is backed by Sequoia Capital, General Catalyst and Google Ventures, and there’s more than 35 plus B2B companies, including Ramp, OpenAI, Confluent, MongoDB, NVIDIA that use Rox. So, you know, Ram, I want to thank you for being here. And, you know, let’s talk about Rox and what you do. I’m going to pull up the website.

Shriram Sridharan: 04:36

Doctor Jeremy, thank you so much for having me. I guess you did a great introduction of Rox on what we do. But let me kind of repeat it in my own words. You are right, which we build revenue agents for the Global 2000 Fortune 2000 company.

Dr. Jeremy Weisz: 04:50

What does that mean for people?

Shriram Sridharan: 04:52

Great question. So you guys would have heard of coding agents, support agents, legal agents. Coding agents are kind of probably way earlier in the maturity cycle. They’ve been around for 3 or 4 years now. Claude Code is kind of everywhere. Support agents are next. There are companies who are actually automating or augmenting customer support. We build revenue agents which are helping automate or augment the entire revenue lifecycle. What does it mean? These are agents that can do from lead to close. Think of it as inbound lead qualification.

Dr. Jeremy Weisz: 05:28

I’m looking at here. This is kind of cool right. So there’s generate pipeline here. There’s closed deals.

Shriram Sridharan: 05:34

Outbound and qualified leads. Expand deals. All of this assume it’s done by an agent that is doing end to end work for you, either with a human in the loop or without the human in the loop. Ultimately, sales is still human to human. People just still buy from human. So a deal has to be closed. You got to. You got to jump on a call to talk to the person on the other side. And they’re not, they’re, they’re not yet buying from agents, at least in the enterprise. So that is still human to human. But a majority of the grunt work can be automated out. And then humans can actually go and do the higher order work.

It’s sort of happening on coding right now. I guess in here, nobody likes writes code anymore. They just use Claude for them to write the code and then they revie. Very similarly, that’s happening on the revenue side as well. What we want to push it is we don’t want to just push it for usage or productivity. We want to push the agents to do work for you. The end to end work artifact delivered. So that’s kind of what we do. And we concentrate mostly on the enterprise land. There are a couple of reasons for it.

One is when you introduce other companies, we are relatively young in the life cycle, we’ve been around for two years. We started 2024, but we started with two fundamental hypotheses, right? One is obviously there is AI transformation that is happening everywhere as we speak. The second one is the first one is a big generational shift in itself. The second one is the data is moving out of business systems like CRM and support and different systems into the warehouse or the lake house. I saw it in my previous company, Confluent. My co-founders saw it in their previous companies before.

[Continue to Page 2]