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Jeanne DeWitt Grosser

COO of Vercel with prior GTM leadership at Stripe and Google, experienced at building go-to-market, sales, and revenue teams and advising founders on GTM strategy.

Top 3 podcasts with Jeanne DeWitt Grosser

Ranked by the Snipd community
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2,135 snips
Nov 30, 2025 • 1h 26min

What world-class GTM looks like in 2026 | Jeanne DeWitt Grosser (Vercel, Stripe, Google)

Jeanne DeWitt Grosser, COO of Vercel and former leader at Stripe and Google, shares insights into the evolving landscape of go-to-market strategies in the AI era. She discusses the emergence of GTM engineers and their role in automating sales workflows. The conversation touches on customer behavior, emphasizing that buyers often seek to minimize risks. Jeanne also advises on the importance of aligning sales with product development, and how segmentation can guide effective outreach while fostering collaboration across teams.
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13 snips
Jan 22, 2026 • 45min

Why Most Go-To-Market Motions Collapse at Scale, with Jeanne DeWitt Grosser, COO at Vercel

In this engaging discussion, Jeanne DeWitt Grosser, COO at Vercel and former GTM leader at Stripe and Google, delves into the fragility of go-to-market strategies at scale. She advocates treating GTM like a product, emphasizing the importance of clarity in sales decisions and how AI can enhance, but not replace, foundational practices. Jeanne also highlights the role of forward-deployed engineers, the need for effective documentation, and what separates great sales reps in the age of AI. Her insights are invaluable for anyone navigating growth in startups.
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12 snips
Sep 30, 2025 • 40min

Claude Sonnet 4.5 Review, AWS Director on AI Agents, Vercel’s $9B Valuation | Sep 30, 2025

Join Jeanne DeWitt Grosser, COO of Vercel, as she reveals Vercel's ambitious goal of becoming the 'AWS of AI' following a $300M funding round. She discusses the transformative potential of their new cloud services and the impact of the Claude Sonnet 4.5 model on coding. Also featuring Sean Nandy from AWS, who explains the practical applications of AI agents that can autonomously manage complex tasks and share insights from a case study where F1's downtime was reduced by 86% through agent-assisted analysis.

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