In today's episode, I chat with CheeTung Leong, founder at The GTM Architects, about helping mid-size B2B software and services companies build genuinely AI-native go-to-market systems—not just bolting AI onto the same old ZoomInfo and Outreach pipeline. 

The campaigns he walks through are real problem-solving exercises: finding car washes and narrowing a massive TAM down by digging into public records for how much each one actually spends on water, and building first-party signal systems for a 100K-user client by pulling together HubSpot, Postgres, and product analytics to define custom lead states and the next best action for each one. CheeTung's background is 10 years as a tech founder—enterprise consulting selling to Fortune 500s, a venture-funded startup raised to Series A and $3M ARR with a 14-person GTM team, a bootstrapped SaaS attempt, and eventually building The GTM Architects after deciding not to push a dying edtech business uphill. He's now running 70% of his work through Claude Code, building a skill that pulls from nine or ten sources—DKIM/DMARC settings, website HTML stack detection, social posts—into an Opus-strategist agent that outputs full pre-call research documents, and he's publishing fully-sourced 3,700-word blog teardowns weekly using the same system, work that used to take a month per article. His prediction: the bleeding-edge GTM engineers will burn out as starving artists while tools like Clay move upmarket toward enterprises who'd rather hire average operators than chase geniuses—but the fundamentals of people-to-people selling won't change, just the speed at which the tooling evolves. His advice: take on early clients for free to build proof, then charge, and remember the build itself is commoditized now—your own thinking is the only thing that isn't. 

Enjoy 🙂

(0:00) Introduction to The GTM Engineer Podcast 
(0:27) What The GTM Architects Does: AI-Native GTM Systems for Mid-Size B2B Companies 
(2:06) The Car Wash Campaign: Narrowing TAM by Digging Into Public Water Spend Records 
(3:05) First-Party Signal Systems: Combining HubSpot, Postgres, and Product Analytics for 100K Users 
(7:08) CheeTung's Journey: Enterprise Consulting, a Series A Startup, and Shutting Down to Build GTM Architects 
(9:06) Running 70% of Work Through Claude Code: The Pre-Call Research Skill Across 10 Sources 
(11:46) Publishing Fully-Sourced 3,700-Word GTM Teardowns Weekly With Fable 5 
(14:03) Predictions: The Starving Artist GTME, Clay Moving Upmarket, and Why the Fundamentals Won't Change 
(19:22) Advice: Take Early Clients for Free, Then Charge—The Build Is Commoditized, Your Thinking Isn't

🔗 CONNECT WITH CHEETUNG

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🐦 X (Twitter)

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