About this episode

The episode features a discussion with Fahad Ali Khan about effective signal-based outreach strategies and the evolving role of GTM engineers in the age of AI.

In today's episode, I chat with Fahad, a GTM engineer with a background in B2B sales, about running signal-based outreach at scale for an enterprise client. Fahad breaks down how he built a Clay table pulling multi-location account data through Serpo.dev's HTTP API, running parallel Clay agents to qualify accounts against the client's criteria and segment them into tier one, tier two, and tier three before sourcing contacts. He walks through why precision matters at that scale, since a poorly constrained AI query can hand back the wrong signals and hurt a client's credibility. We trace his path from B2C high-ticket sales, discovering Clay back in 2022, and eventually leaving a stable job to go through Clay's own 101 cohort and AI Skills cohort to build his foundation. His prediction: GTM engineers who over-focus on tools will lose their edge, since AI now handles most of the technical heavy lifting, so the real value going forward sits in strategy, spotting bottlenecks, and knowing how to stitch tools together. His advice for anyone starting out is to cut the noise and focus on learning Clay first, since it teaches you the full process happening behind the scenes. Enjoy 🙂 (0:00)…

People in this episode

Host: Saurav Gupta

Guest: Fahad Ali Khan

Topics covered

• signal-based outreach
• GTM engineering
• B2B sales
• AI in sales
• account qualification

Keywords

• GTM engineer
• signal-based outreach
• Clay
• Serpo.dev
• B2B sales
• AI skills
• account qualification

Mentioned in this episode

Organizations: Clay, Serpo.dev, GTM Engineer Podcast

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