TechCrunch Disrupt 2026: Clay’s Kareem Amin on the rise of the GTM engineer

The role of the GTM engineer is emerging, requiring new skills and potentially changing how sales, marketing, and growth teams are structured.

Clay co-founder and CEO Kareem Amin will speak at TechCrunch Disrupt 2026 about the emergence of the "GTM engineer" role, which has gained prominence as AI and automation streamline go-to-market (GTM) processes. Amin's session, "The GTM Engineer: How AI Created Tech’s Next Big Job Category," will detail how AI is transforming the traditional GTM stack, enabling the creation of new revenue systems that previously required multiple individuals, tools, and manual efforts. This new discipline focuses on building automated revenue workflows rather than executing individual tasks. Amin will illustrate how AI-native GTM functions in practice, impacting how companies identify and engage customers. The article notes that "GTM engineer" job listings have increased, appearing approximately 100 times per month. Clay, founded in 2017, has experienced significant growth, recently raising $115 million at a $7.1 billion valuation, and has launched a $1 million scholarship fund to train GTM engineers.

The rise of GTM engineers signifies a fundamental shift in how technology companies approach customer acquisition and growth, moving from manual execution to automated system building. This evolution is directly driven by advancements in AI and automation, which allow a single practitioner to manage complex revenue workflows that previously demanded separate teams and specialized tools. Companies are now evaluating whether to hire more personnel for existing processes or invest in building these new AI-powered systems, indicating a potential restructuring of GTM departments and a redefinition of required skill sets.

This trend directly impacts both tech professionals and companies aiming for efficient growth. For individuals, it presents an opportunity to specialize in a nascent, high-demand field, while for businesses, it offers a path to optimize GTM strategies and potentially reduce operational costs by leveraging AI capabilities. The emergence of roles like GTM engineer suggests a broader industry move towards more integrated, AI-driven operational models across various business functions.