Clay’s Kareem Amin Discusses the Emergence of the GTM Engineer at TechCrunch Disrupt 2026

Meta description: Clay CEO Kareem Amin traces how AI created the GTM engineer role, from 2017 origins to 100 monthly listings, $100 million ARR, and $7.1B valuation at Disrupt.

Tags: GTM engineer, Clay, TechCrunch Disrupt 2026, AI go-to-market, revenue operations

Featured image: Abstract technology-style visualization: glowing data nodes connected by workflow arrows, forming a revenue pipeline, with no people or logos.

At TechCrunch Disrupt 2026, Clay co-founder and CEO Kareem Amin will present "The GTM Engineer: How AI Created Tech's Next Big Job Category" on the AI Stage, describing how AI turned go-to-market work into a systems-building role called the GTM engineer. The session matters because companies that once split sales, marketing, data, and operations are now using AI to assemble revenue workflows that fewer people can design and maintain.

Background: The Pre-AI Go-to-Market Stack

The role did not begin with its current name. Clay launched in Brooklyn in 2017 around a simple goal: give more people access to the power of programming. The company's first spreadsheet product aimed to let users link data and create automations without coding. Once sales, growth, and agency teams adopted it for customer discovery and outreach, Clay moved into go-to-market, or GTM, the set of processes a company uses to bring products to market.

The older GTM model depended on manual account research, repeated data cleanup, lead qualification, and handoffs between tools and teams. Two years ago, most companies did not have a GTM engineer. As AI capabilities matured, prospect research, data handling, personalized outreach, and workflow automation became easier to combine inside fewer systems, creating space for a new job category.

Development: AI Builds the GTM Engineer Role

Clay coined the role in 2023. Its GTM engineering guide describes GTM engineers as practitioners who build automated revenue workflows rather than completing individual GTM tasks by hand. Their work turns research, data enrichment, lead qualification, and outreach into repeatable systems.

That shift changes who owns growth infrastructure. Companies are no longer only asking which GTM technology to buy; they are asking who should design and operate the systems behind growth. Clay says roughly 100 GTM engineering job listings are now appearing each month, including roles at companies such as Cursor, Lovable, and Webflow.

For founders and GTM leaders, the choice is not only whether to add more people to an existing process. It is also whether to build systems that let existing people execute differently. AI makes that second path practical by helping teams create workflows across data, sales, marketing, recruiting, and outreach.

Latest Progress: Clay's Growth, Funding, and Disrupt Agenda

Clay's product path shows how the category developed. The company now offers infrastructure that helps GTM teams pull data, operate agentic workflows — AI-driven processes that take multiple steps with limited human prompting — and launch campaigns. The OpenAI-powered Claygent agent handles research and outreach tasks for sales, marketing, and recruiting teams.

That product evolution has been accompanied by rapid business growth. In February, TechCrunch reported that Clay had tripled annual recurring revenue to $100 million within one year and had announced an employee tender offer at a $5 billion valuation. Since that report, Clay announced a $115 million Series D in September at a $7.1 billion valuation.

Clay is also investing in the people who will build this new function. In September, it announced a $1 million scholarship fund to train GTM engineers. At Disrupt, Amin will place that investment in context and show what AI-native GTM looks like in practice.

Amin co-founded Clay in 2017 and remains its CEO. Before Clay, he held the VP of product role at The Wall Street Journal and co-founded Frame, a collaboration startup acquired by Sailthru in 2012. Clay began as a bet that more non-programmers could use programming-like power. AI later gave that idea a new application: enabling GTM teams to automate research, data enrichment, and outreach without depending on traditional engineering resources for every workflow.

The event details anchor the timeline. "The GTM Engineer: How AI Created Tech's Next Big Job Category" is one of 200+ sessions across six industry stages, roundtables, and breakouts at Disrupt, October 13-15 at Moscone West in San Francisco. More than 10,000 founders, investors, operators, and tech leaders are expected, along with 250+ speakers and 300+ exhibiting startups. Passes are available, with a second pass at a 50% discount and additional savings for groups of four or more.

At present, the GTM engineer sits at the intersection of AI tooling and revenue operations. It is a newly named job category, moving from Clay's 2023 framing to a visible hiring pattern and a defined conference topic. What to watch next is whether the role remains a distinct discipline or expands into a broader set of revenue systems as companies keep rebuilding growth around automation.