SAN FRANCISCO — October 14, 2025 — Warmly, the leader in AI-powered go-to-market tools, today announced the launch of its Marketing Ops Agent, a first-of-its-kind platform that combines AI enrichments and real-time signal monitoring to automatically build, update, and prioritize a list of the highest-value accounts and contacts for marketing teams.
The launch marks a major milestone for Warmly, which has grown ARR 5× since its Series A and now powers marketing teams for high-growth companies like Workboard, New Relic, and Conversion.ai.
“Traditionally, the process of building a target list can take weeks, involves stitching together the results of several different and complex tools and requires constant manual tweaking. And often, the target list you end up with is still sub-optimal and likely out of date before the end of the quarter.” Said Alan Zhao, Co-Founder and CPO of Warmly. “We fix that problem by giving marketers one, easy to use tool that builds a real-time list of accounts and people that actually want to buy from you.”
The End of Spray-and-Pray: Welcome to “Lean Pipeline”
B2B teams are stuck in a vicious cycle of trying to hit inflated pipeline targets with more ad spend, more outbound, and more tools, only to see sales rate continue to decline, revenue flatline, and the cycle to continue with an even higher pipeline goal.
Warmly’s Lean Pipeline approach breaks that cycle. Marketers don’t need to chase massive pipeline targets, they can focus only on the high-fit accounts and the people with intent to buy.
”Warmly sourced MQLs closed at a 50% higher rate and 30% faster than our other sources” - Stephanie Armand, Sr. Rev Ops Manger, Qase
The Super Marketer
The Warmly Marketing Ops Agent is the first tool built for a new generation of “Super Marketers,” the next $500k+ earners in tech.
"The Super Marketer will become the most valuable asset of high-growth organizations," said Maximus Greenwald, Co-Founder and CEO of Warmly. "Our platform empowers these professionals with the tools they need to identify and convert the right opportunities, and transform marketing into their company’s primary revenue driver."
This new generation of marketers will orchestrate sophisticated, highly-targeted, omni channel campaigns at scale at hyper speed. They’ll be able to single-handedly generate 75%+ of a company's total pipeline by leveraging AI tools like Warmly.
“We were able to replace 4 tools and an entire role within our GTM org with just the Warmly Mar Ops Agent.” - David Chase, CEO, Workboard
In the AI era, pipeline quality is the ultimate competitive advantage. Warmly’s Marketing Ops Agent is available today for all customers and integrates seamlessly with existing Warmly signals, and orchestration workflows.
Frequently Asked Questions
What is Warmly Ushers in the Era of Lean Pipeline With Launch of AI Marketing Ops Agent?
Warmly Ushers in the Era of Lean Pipeline With Launch of AI Marketing Ops Agent refers to the concepts and strategies covered in this article. Understanding these fundamentals helps B2B teams improve their sales and marketing effectiveness.
Why is Warmly Ushers in the Era of Lean Pipeline With Launch of AI Marketing Ops Agent important?
This matters because it directly impacts pipeline generation and revenue. Teams that master these concepts see better results from their go-to-market efforts.
How can I implement this?
Start with the strategies outlined above. For B2B teams, combining these tactics with tools like Warmly—which identifies website visitors and automates engagement—can accelerate results.
What tools help with Warmly Ushers in the Era of Lean Pipeline With Launch of AI Marketing Ops Agent?
Several tools can help, depending on your specific needs. Warmly is particularly useful for identifying high-intent website visitors and engaging them before they leave your site.
What are the best practices for Warmly Ushers in the Era of Lean Pipeline With Launch of AI Marketing Ops Agent?
Key best practices are covered throughout this article. Focus on the fundamentals first, measure your results, and iterate based on data rather than assumptions.