GTM Data Architecture: Foundation, Enrichment, & Action
Hosted by Manny Adelstein
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Learn directly from Manny Adelstein
Go deeper with a course
GTM Engineer Foundations
Yash Tekriwal and Bhaumik Patel
First GTM engineer and Clay professor. 10+ years building vocational training
927 students
Go deeper with a course
GTM Engineer Foundations
Yash Tekriwal and Bhaumik Patel
First GTM engineer and Clay professor. 10+ years building vocational training
What you'll learn
How to Architect the Foundation
Set up data to flow cleanly across platforms, use custom objects for signals and intent, and build systems that scale
How to Build the Enrichment Layer
Use enrichment to fill in data gaps, score prospects and customers, & build re-enrichment automations to keep data fresh
Why Data Quality is Crucial for GTM Success
Clean data informs downstream workflows like orchestrating outreach to warm prospects or ranking top accounts to engage
Why this topic matters
Most operators live in reactive mode, patching workflows and fixing data gaps. A scalable GTM architecture changes that by ensuring clean data, systematic enrichment, and actionable signals. With reliable data, operators can scale their impact, power downstream plays, surface key data to stakeholders, and drive better GTM execution across their org.
You'll learn from
Manny Adelstein
GTM Engineering Internally at Clay
I'm on the GTM Ops team at Clay, where I focus on building automated workflows to enable our internal sales team and generate pipeline. I've built out our internal lead scoring and routing system, automated outreach to high intent prospects, and pre-meeting notes that get sent to our reps every day.
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