The Future of AI-Powered Sales with Vercel COO, Jeanne DeWitt

In this episode, Jeanne DeWitt and Vercel COO Jean Grosser redefine go‑to‑market (GTM) as a holistic revenue engine that spans marketing, sales, customer success, support, and engineering. Rather than treating GTM as a siloed sales function, they argue that every customer‑facing activity should be orchestrated like a product, with clear handoffs and shared metrics. This integrated view matters because AI‑driven competition is intensifying, making differentiation hinge on the buying experience as much as on feature sets. By mapping the entire customer lifecycle—from awareness to multi‑year retention—companies can create a seamless journey that feels unique and reduces risk for buyers.

A central theme is the rise of the go‑to‑market engineer, a role that blends data science, automation, and technical sales expertise. Jean recounts early experiments at Stripe, such as Project Rosalind, a massive company‑universe database used to generate personalized outreach templates. While the 2017 version struggled with false positives, modern AI now powers agents that research prospects, craft tailored messages, and handle routine tasks, freeing sellers to spend 70% of their time in human conversations instead of administrative work. This shift not only scales outreach efficiently but also improves conversion rates by delivering relevance at scale.

Practical takeaways include treating segmentation as a product feature, building GTM processes that are repeatable and codifiable, and leveraging AI tools for inbound and outbound workflows. The hosts recommend shadowing top performers to train agents, maintaining a human‑in‑the‑loop for quality control, and continuously feeding insights back into product development. As AI continues to collapse specialized GTM roles, organizations that embed engineering talent within their revenue teams will accelerate execution, boost LTV, and stay ahead in an increasingly crowded AI‑powered market.