Over the past two years, a new role has quietly taken root across tech companies: the GTM (go-to-market) engineer. What once needed whole teams of people, scattered tools, and manual handoffs can now be managed with AI and automation—a transformation Jason Clay’s Kareem Amin will explore at TechCrunch Disrupt 2026.
What the GTM Engineer Actually Does
In traditional go-to-market operations, a lot of time goes into researching prospects, cleaning up data, prepping outreach, qualifying leads, and shuttling information between tools. The GTM engineer changes that dynamic: using data, AI, and automated workflows to turn many of these tasks into repeatable systems. Clay first coined the term in 2023. Their guide defines GTM engineers as the practitioners who build automated revenue workflows instead of executing GTM tasks manually. On average, about 100 new job listings for GTM engineers are appearing each month now, with companies like Cursor, Lovable, and Webflow already posting roles.
Clay’s AI-Native GTM Stack and Its Fast Growth
Founded in Brooklyn in 2017, Clay started out offering a no-code spreadsheet tool that connected data and automated processes. As sales, growth, and agency teams began using it for client outreach and deal discovery, the company fully leaned into the GTM space. Today, Clay’s platform powers data access, agent-based workflows, and campaign launches. Their OpenAI-driven agent, Claygent, helps automate prospect research, outreach, and recruiting workflows.
The growth has been swift. As of early 2026, Clay had tripled its annual recurring revenue to $100 million in just a year. By September, it closed a $115 million Series D round, bringing valuation up to $7.1 billion. In addition to funding, Clay is doubling down on talent: it recently launched a $1 million scholarship to train people for the GTM engineer role.
Why Companies Should Care Now
For founders, sales, marketing, and growth leaders, the rise of the GTM engineer offers a strategic fork in the road: hire more people to execute existing playbooks, or build systems so your current team can execute more efficiently. AI‐native GTM flips the old playbook, embedding automation at every stage—research, outreach, data operations—so that scale comes from smarter infrastructure rather than just more bodies.
At TechCrunch Disrupt, Amin will present “The GTM Engineer: How AI Created Tech’s Next Big Job Category,” showing what AI-driven GTM looks like in practice. The session is one among over 200 across stages, roundtables, and breakouts from October 13 to 15 in San Francisco. Expected attendees include more than 10,000 founders, operators, investors, and growth teams. Clay also offers 50% off tickets for second attendees and group discounts—for companies eager to see where their GTM roadmap might go next.
Amin co-founded Clay after leadership roles at The Wall Street Journal and founding a startup acquired in 2012. He envisioned bringing programming capabilities to users without engineering backgrounds; AI made that vision relevant for GTM teams, giving them tools to automate research, outreach, and data workflows without needing an engineering department for every task.
This emergent discipline is more than a buzzword—it’s a response to GTM challenges many have faced for years: scaling growth without exploding headcount or tools. The GTM engineer may be young as a job title, but it already points to a shift toward systems‐led revenue work—less about tasks, more about operations. What stays to be seen is how companies define the role, build teams around it, and measure its impact over time.
