Jeffrey Wang, co-founder of Exa, details how "go to market" (GTM) is transforming into an AI engineering problem. He showcases Exa's agent-first approach, using tools like an ICP dashboard for market intelligence and a personal AI clone (Jeffbot) to automate and optimize sales, emphasizing the need for robust APIs and arbitrarily customizable systems in this new AI-driven landscape.
Leo Mehr, Director of Engineering at Ramp, outlines two critical principles for Forward Deployed Engineering (FDE): "Always Be Scoping" to ensure the delivery of the right product by deeply understanding customer needs and context, and "Scale with Tokens" by strategically integrating AI agents into FDE workflows. He highlights Ramp's success in automating request intake and spec generation using AI, emphasizing the need for both human judgment and AI-driven efficiency to thrive in the future.
Vinoo Ganesh, formerly of Palantir, details how Forward Deployed Engineering (FDE) functions as a critical product strategy rather than a sales role. He shares insights from Palantir's Foundry development, emphasizing how FDEs embed with customers to uncover true problems, observe user behavior, define a common linguistic ontology, and build production-ready solutions from temporary fixes, ultimately driving core product leverage.
Pauline Brunet, VP of Forward Deployed Engineering at Cursor, details how FDE drives AI adoption in enterprises. She distinguishes FDE from traditional services, outlines the 'magical unicorn' FDE profile, shares Cursor's project-based co-development approach, and offers best practices for team structure, customer engagement, and measuring ROI.
Bob McGrew, an early executive at Palantir and former Chief Research Officer at OpenAI, explains the Forward Deployed Engineer (FDE) model he helped pioneer. He details its origins, operational structure, and why it has become the dominant strategy for AI agent startups navigating a new market with immense product discovery needs.