GTM Engineering Gives Revenue Teams The Systems Layer That Accelerates Growth

For years, marketing operated at a comfortable distance from revenue. Teams ran experiments, tracked engagement metrics, and measured success in impressions and lead counts. The connection to actual pipeline and closed deals was often indirect, sometimes intentionally so. That distance has collapsed. Leadership now expects marketing to function as a revenue engine with the same rigor and accountability as sales, and the organizations responding fastest are the ones restructuring around that expectation.

Kenneth Parkja, Head of Sales and Marketing at Ship.com, has a background bridging both sides of the revenue equation. His roots in direct-response copywriting and high-ticket sales have helped him drive more than $50 million in tracked revenue. In his current role, he leads sales alongside marketing under a single mandate, a dual perspective that shapes his view of how alignment between the two functions accelerates growth and disconnection slows it down.

"Ten years ago, marketing was disconnected from revenue. It was mostly about building the brand and wasn't very quantifiable. With AI and GTM engineering, marketing is moving much closer to revenue, and that's the way it should be," Parkja says. He sees the convergence of AI, automation, and GTM engineering as the catalyst that's finally making marketing's proximity to revenue operationally real.

• Unified leadership, unified mission: The structure at Ship.com reflects a broader trend of larger organizations adopting CRO roles to bridge marketing and sales. Mid-sized companies are achieving the same effect by placing both teams under a single leader with a shared revenue target. In Parkja's view, the arrangement eliminates the friction that plagues organizations where the two functions operate in parallel but point in different directions. "In a lot of older and bigger companies, you see a disconnect. Marketing says, 'We're bringing so many leads.' Sales says, 'The leads aren't the right quality.' When both departments work together under unified leadership toward a single goal, that friction goes away and good things happen."

• Results follow alignment: He acknowledges the transition isn't seamless, particularly in organizations with entrenched teams and long histories. But in smaller, more transparent organizations where everyone can see the shared objective, alignment happens faster. "At first it might be hard because you need to get everybody on the same page, but in the long run, when sales can tell marketing what types of leads are actually converting and the departments communicate openly, the results follow," he shares. 

As marketing moves closer to revenue, a new function is emerging to operationalize that connection: GTM engineering. Parkja sees the role as part systems builder, part translator between departmental goals and business outcomes. The GTM engineer listens to what marketing and sales need, identifies friction points, and builds the automated workflows that connect activity to revenue. "The go-to-market engineer isn't just building automations," he says. "They're also thinking about all the data that already sits inside the CRM or back-office systems and asking, 'What can we do with this? Can AI give us insights?' It's analysis first, then building the system to act on what you find."

Parkja is careful to distinguish the role from a silver bullet. Marketing still owns experimentation, messaging, and brand. The GTM engineer operationalizes those efforts at scale. "AI can create the step-by-step process and strategy, but there still needs to be that unique messaging and the branding behind it. I'm not saying these roles substitute each other. They need to work together. That's the main change." He's also candid about the hype cycle surrounding the title itself. "GTM engineering is a bit of a buzzword right now, but historically this has been the CRO's job or the CMO's job. The role is real and important, especially with the rise of AI. But the whole organization needs to become more knowledgeable in AI, and in ten years, who knows what this role looks like."

• Automate for impact, not optics: For organizations that haven't yet made the shift toward AI-driven GTM operations, Parkja's most practical advice is to avoid automating for the sake of appearances. "Everybody on LinkedIn writes that they automated their entire team, but the question is, does it actually bring results and revenue, or is it just busy work that looks nice? That's the difference."

• Call in an expert: He recommends that organizations still early in their AI journey consider bringing in a consultant or advisor who can identify genuine gaps rather than build systems for optics. "Instead of building something for the sake of building something, which happens a lot, you can actually identify a gap and put the workflow in place that helps the company move forward," he advises. 

The organizations Parkja sees pulling ahead are the ones that have stopped treating marketing as a support function and started holding it to the same standard as every other revenue-generating part of the business. For all the new tooling, roles, and terminology, he says the measuring stick is simple. "Revenue is still the north star. The definition of business is to make a profit." The systems, AI, and alignment between marketing and sales all exist to serve that outcome. The fundamental question is whether leadership is willing to rebuild around them.