AI Transformation | GTM Engineering | AI Search | Founder @ TheVibeMarketing.ai · 4w ago
All the pipes were installed. But the water wasn't flowing...
I saw a perfect example of this recently 👇
A company had significant website traffic but wasn't generating enough conversations from it
And on paper, they had every “modern” tech stack tool…
Analytics ✅
Visitor identification ✅
Outbound tools ✅
Automation ✅
Sales CRM ✅
In other words, all the GTM pipes were there...
But having the tools is very different from having a system that actually connects:
Traffic → Signals → Identification → Outreach → Conversations → Pipeline
Somewhere between those steps, the flow was breaking...And I see this more and more.
When the pipeline isn't moving, we assume we need another tool, more traffic or more leads.
Sometimes we don't.
Sometimes we just need smart humans who can look across the entire system and figure out where the water stopped flowing.
That's increasingly how I think about GTM Engineering 🙏
Bob Tripathi
AI Transformation | GTM Engineering | AI Search | Founder @ TheVibeMarketing.ai · 2mo ago
The top two skills every GTM Engineer must possess...
I wrote last week that GTM Engineers are really orchestrators, as the modern engineer is becoming less about producing code and more about connecting systems.
For a GTM Engineer, I think it comes down to two things:
Can they translate? And can they connect?
So when Sales says the inbound leads are bad, what does that mean for Marketing?
When Marketing says content engagement is up, what does that mean for pipeline?
When Product sees an adoption problem, what signal should Customer Success or Sales receive?
When Engineering says something isn't feasible, can you translate that constraint into something the business understands?
And when the CEO asks why growth is slowing, can you connect all of those conversations into one coherent answer?
That's translation.
👉 A GTM Engineer doesn't just need to understand everyone's language. They need to translate between them and create alignment around what the actual problem is.
Then comes connection...
Connecting the signals, the tech stack (hello MCP), the people, the data and the internal workflows so the organization can actually act on what it knows.
Because understanding the problem isn't enough. The GTM engineer have to design how the organization acts on it.
That's why a GTM Engineer doesn't need to be the deepest expert in every one of these areas.
But they need enough breadth to walk into each room, understand what matters, speak the language and connect thos…
Bob Tripathi
AI Transformation | GTM Engineering | AI Search | Founder @ TheVibeMarketing.ai · 2mo ago
The rise of the one-person GTM Engineering Center of Excellence model…
As companies increasingly consolidate the old SaaS relics and start figuring out where GTM Engineering actually sits inside the organization, I don't think most companies need to start by building a GTM Engineering team.
They instead need that connective tissue across the GTM organization…
Someone who can look across Marketing, Sales, RevOps, Product, Customer Success with AI on top and ask - Where are the workflows breaking? Where is context getting lost? What signals aren't being acted on? What are we doing manually that shouldn't ?
And how do we connect all of this without adding another 10 tools to the stack?
That's where the one-person COE model comes into play…
It's to establish how the organization thinks about GTM Engineering…
They find the first use cases, build the first workflows, connect the first systems, create the guardrails, build that context layer and create those initial small wins 💪
And then help other teams start thinking and building the same way. Over time, that becomes a bigger GTM Engineering team.
But initially?
I think it can be one person sitting across the organization, translating, connecting and building.
👉 Think of an internal GTM architect + builder + orchestrator.
And that’s how AI powered GTM Engineering actually enters most companies.
Its a muscle that companies need to start developing and it should start as a one-person COE…
Curious if others are seeing…
Bob Tripathi
AI Transformation | GTM Engineering | AI Search | Founder @ TheVibeMarketing.ai · 2mo ago
How do GTM Engineers think?
They don't start with channels or campaigns or AI tools or SaaS platforms.
They start with systems.
When they look at a business, they don't ask >> "How do we improve Inbound or AI Search?"
They ask >> "How does a signal become revenue?"
Then they follow every step and reverse engineer the process with questions like:
>> Where does demand originate?
>> Where does it get captured?
>> Where does it get lost?
>> Where does context disappear?
>> Where do handoffs fail?
>> Where do humans add value?
>> Where does AI accelerate the workflow?
Every bottleneck then becomes an engineering problem and every disconnected tool becomes a systems problem.
Every missed follow-up becomes a workflow problem.
That's why GTM Engineering isn't really about marketing.
It's about designing how information, context, decisions, and execution flow through an organization.
That's exactly the mindset I used when building our AI GTM platform at The Vibe Marketing.
So yes, the channels matters, the AI Search matters, those IRL conferences matter and the CRM matters too but they're all just components.
The real job is designing the system that connects them.
That's how GTM Engineers think 🙏
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#GTM #GTMEngineering #systemsthinking #AI
Bob Tripathi
AI Transformation | GTM Engineering | AI Search | Founder @ TheVibeMarketing.ai · 2mo ago
The best GTM Engineers aren't engineers or marketers....They're orchestrators.
There seems to be a growing belief that because engineering is in the title, the ideal GTM Engineer must come from a deeply technical background. Others assume it should be your best marketer or best sales leader.
I see it differently.
The best growth leaders I've worked with weren't necessarily the best marketers, salespeople, or product managers.
What made them different was their ability to connect all of those functions. They could speak each team's language...and now, increasingly, they can speak AI fluently too.
That ability comes more from the breadth of their experience than the depth of any single discipline.
They understand how each team works, where information breaks down, and where execution slows. Being in the operator trenches…
Their job isn't to own every function > It's to orchestrate them.
That's why I think GTM Engineering has very little to do with channels.
It's about designing how information, decisions, and execution flow across the business.
👉 In many ways, the GTM Engineer becomes a one-person Center of Excellence (COE).
Not because they do everyone's job. Because they understand how everyone's work connects. That's what I think GTM Engineering is really about.
Curious if others are seeing the same shift, or if you've defined the role differently?
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#GTMengineering #AIorchestrator #AINative
