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Brandon Redlinger

Fractional VP/CMO for high growth tech & AI companies | demand gen, ABM, product marketing, content

2 GTM Eng posts · 748 engagement

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Brandon Redlinger

Fractional VP/CMO for high growth tech & AI companies | demand gen, ABM, product marketing, content · 6w ago

Everybody is hiring a GTM engineer so that they can send more cold emails. Just get a Clay subscription, build a list, and you’re off. Now, you’re sending out 10,000 emails… congratulations! But I think they’re still entirely missing the point. Copy is a commodity. It’s cheap because literally anyone can use AI to write emails and then throw them into an outreach tool. It feels like we've gone a bit overboard. We shouldn't have to send out a thousand emails to get a few replies. In fact, I'm challenging some of my clients hiring GTM engineers to figure out how we can get more replies in fewer emails, not more. And to take it one step further, that should be the entire premise of GTM engineering and AI operations. For the next 30 days, don't add another content agent until someone can show you those three things: the suppressions, the evals, and the learning metric.

Brandon Redlinger

Fractional VP/CMO for high growth tech & AI companies | demand gen, ABM, product marketing, content · 13d ago

Today’s best GTM engineers are AI-fluent. This was an argument I recently had with a CEO. Here’s my argument. — AI is becoming core GTM infrastructure — AI Reasoning > rules-based automation — AI can finally unify unstructured data from calls, emails, website data, etc — AI greatly reduces dependence on technical engineering resources His argument: — GTM engineering is about systems, not models. — Business acumen > AI models  — Bad processes don't become good processes with AI. — Most GTM challenges don't require AI GTM engineers do not need deep AI expertise like an AI engineer but they 100% need to be AI fluent. In other words, it’s not knowing how AI models technically work but how to engineer GTM systems using AI.  No matter where you land, you still need to know systems thinking, good judgment, and GTM workflows. What do you think? Is AI a fundamental part of GTM engineering?