Lenny's PodcastJeanne DeWitt Grosser: How one GTM engineer replaced 10 SDRs
GTM engineers shadow top reps, then encode workflows as inbound lead agents; six weeks later Vercel held conversion rates with 1 SDR doing the job of 10.
At a glance
WHAT IT’S REALLY ABOUT
How AI-Driven Go-To-Market Will Redefine Sales Orgs By 2026
- Lenny interviews Jeanne DeWitt Grosser about what world-class go-to-market (GTM) will look like over the next few years, especially in an AI-first environment. Jeanne defines GTM broadly as every function that touches a customer or makes a dollar, and explains why these teams must be designed like products with intentional end-to-end customer journeys. She goes deep on emerging roles like the go-to-market engineer, AI-powered agents that 10x sales productivity, and rigorous segmentation to focus on the right customers. Throughout, she emphasizes blending product thinking with sales, building sales orgs engineers respect, and reshaping pricing, PLG, and compensation for a much faster-moving market.
IDEAS WORTH REMEMBERING
5 ideasThink of go-to-market as a holistic product, not just a sales function.
Jeanne defines GTM as every function that touches a customer or drives revenue—marketing, sales, CS, support, partnerships—and argues you should map and orchestrate the entire lifecycle (awareness to multi-year retention) like a product experience, optimizing each touchpoint to feel valuable and distinctive, not transactional.
AI-powered GTM engineers can 10x sales capacity by encoding best-practice workflows.
At Vercel, “go-to-market engineers” shadow top performers, then turn repeatable workflows into agents that handle tasks like lead qualification, research, and first-touch emails—with humans in the loop. In six weeks, one engineer built an inbound lead agent that let them go from 10 SDRs to 1 on that workflow while maintaining conversion rates and improving speed.
Use AI on call data and transcripts to diagnose why deals are really won or lost.
By running agents over Gong transcripts, emails, and Slack threads, Vercel discovered that deals labeled as “lost on price” were actually lost due to failing to engage economic buyers or convincingly communicate ROI. They now use a real-time “Deal Bot” to flag issues mid-cycle, and they treat poor sales motions as “bugs” to fix in weekly GTM sprints.
Segment customers with data, not intuition—and use multiple meaningful dimensions.
Both at Stripe and Vercel, Jeanne builds segmentation using empirically predictive attributes such as company size, growth potential, traffic (via CrUX), and business model or workload type. This informs who to target, what to sell them, and how complex the sales motion should be, and serves as a shared language across product, data, and GTM.
Great sales feels like product management: deep product fluency and signal discernment.
Jeanne’s litmus test is that an AE should be indistinguishable from a PM for 10 minutes in front of engineers. She expects sales to act as an R&D extension—distilling patterns from customer conversations, filtering noise from signal, and feeding high-quality, roadmap-relevant insights back to product and engineering.
WORDS WORTH SAVING
5 quotesIf you are an account executive in my org and I put you in front of 10 engineers at our company, it should take them 10 minutes to figure out you aren't a product manager.
— Jeanne DeWitt Grosser
We buy a lot of things because of how we feel about them. The experience that you have of being sold to will increasingly differentiate a company if products are only different at the margin.
— Jeanne DeWitt Grosser
The best go-to-market orgs on the planet are equal parts revenue driving and R&D.
— Jeanne DeWitt Grosser
Customers, 80% of them, buy to avoid pain or reduce risk as opposed to increase upside.
— Jeanne DeWitt Grosser
Yeses are great. Nos are great. Maybes will kill you.
— Jeanne DeWitt Grosser
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