Marketing Departments Are Rebuilding Themselves as Engineering Orgs, One Hire at a Time

The fastest growing job in marketing is not a marketing job. It is an engineering one.

Job postings for GTM engineering roles grew 205 percent between 2024 and 2025, according to an analysis of more than 1,000 listings by Bloomberry cited by EMARKETER, with a median salary of $127,500 and companies like Vercel and OpenAI paying above $250,000. Separate research published this year by GTM Strategist found the role migrating in house, with a rising share of practitioners now sitting inside marketing, RevOps, and growth teams rather than at agencies, building permanent infrastructure for one company instead of campaigns for many.

Behind the hiring data sits a structural change that has been predicted for a decade and is now actually happening: marketing departments are reorganizing to look less like creative agencies and more like software teams, complete with sprints, version control, modular asset libraries, and a governed layer of AI agents.

One of the more complete public arguments for the shift came in November from Michael Gale, chief marketing officer of Postgres data and AI company EDB, in a piece published on MarTech declaring that the future of marketing looks like engineering and AI roles. Gale co-wrote the Wall Street Journal bestseller The Digital Helix in 2017, and the new piece functions as that book's operational sequel, recasting marketing as a continuous, precision engineered system rather than a series of campaigns with a start date, an end date, and an awards entry.

Campaigns are the language of your forefathers, not the reality of the world we work in now. With agents, you can run one million programs for one million buyers — today. And they cost far less, because your whole marketing ecosystem becomes a single foundation unifying all your insights, data, and actions. More importantly, you don't need a SaaS company to do it. You should be your own sovereign AI and data platform," said Michael Gale, CMO, EDB.

The stakes, by the argument's own math, are not small. The Digital Helix research found fewer than 20 percent of organizations getting digital transformation right, with the ones that did delivering roughly twice as fast and cutting operating expense by more than 30 percent.

The org chart is the story

Talk to the companies making the change, and the same structure keeps appearing. Cross functional pods replace channel teams. Each pod pairs a marketing or GTM engineer, who builds and maintains the systems, with a data steward who owns signal quality, a creative technologist who manages a library of reusable assets, and a journey architect responsible for the customer experience end to end. Above the pods, an orchestration lead governs the AI layer and a marketing operations leader runs the sprint cadence.

The creative implications are the part most brand teams have not priced in. In the model Gale describes, bespoke campaign content gives way to modular content objects, meaning video snippets, dynamic templates, and copy blocks built to be recombined and redeployed, tracked with version control so creative can be rolled back or iterated like code. He points to Lego, which generates tens of millions of set possibilities from roughly 3,400 molds, as the operating precedent, and argues that some brands are now building what he calls APIs for brand, structured repositories of logos, imagery, and copy that partners and products can pull from instantly. Ownership of those assets, in this telling, becomes a moat.

Data moves from the end of the process to the front of it. Rather than reporting on what happened, marketing data teams feed live customer signals into automated decisions and predictive models that get maintained the way developers maintain codebases. Gale is unusually candid on one point: most marketing data is directional rather than perfect, and the discipline lies in constant review and adjustment rather than waiting for clean numbers.

The funnel does not survive the transition either. In its place is what practitioners describe as an experience architecture, a network of pathways that reroutes customers in real time the way network engineers reroute traffic, with performance dips treated as experience outages to be diagnosed and fixed. Gale has been pressing this argument since before his EDB tenure. In a 2019 podcast interview he said journey mapping had become like putting a steamship engine into a sailing boat, a notable reversal from an executive who once held trademarks on the methodology.

The agent question

The endpoint of the reorganization is the part that gives even its advocates pause. Gale predicts agent-to-agent marketing as the norm, with intelligent agents working together within set parameters to deliver finished work, and acknowledges plainly that if this scares practitioners, the concern is legitimate. Trend research published this year describes the same trajectory across the industry, with go-to-market teams shifting from automating tasks to deploying fleets of agents supervised by small human teams that retain accountability for every autonomous decision.

That governance question, the question of who sets the parameters and what humans keep owning, is where the marketing engineer org will be judged.

"Humans own all the qualities of intuition, feel, and situational awareness. Agents do the mundane. Humans need to focus more on creative problem solving. Think of it like a sports team. Humans are the athletes on the field and agents are like coaches or assistants. They support the human endeavor," said Gale.

EDB's own research gives the argument teeth at the enterprise level. The company's Sovereignty Matters study, based on interviews with 2,050 senior executives across 13 countries, found that organizations treating sovereignty over their AI and data as mission critical achieve up to five times higher ROI on AI investments, while 87 percent of enterprises risk falling behind, held back by siloed data and fragmented infrastructure. An earlier EDB survey, published via VentureBeat, found nearly two in three C suite leaders worldwide now view sovereignty over AI and data as a necessity rather than a luxury. Sovereignty over marketing's assets, data, and agents is the same argument one level down.

What it means for the people in the room

For new entrants, mid careerists, and senior marketers eyeing the boardroom, the practical message of the shift is about hiring criteria and habits, not tools. The teams being built now screen for comfort with degrees of success and learning rather than a binary of winning or losing, run standups across creative, analytics, and operations, and expect everybody to own the quality of the whole customer journey rather than the piece they touch.

The artistry is not disappearing from marketing. It is being shipped continuously, in modules, by teams that look increasingly like the engineers down the hall. The companies restructuring now are not chasing a trend so much as conceding a fact: their customers already move like data, and the marketing function is finally being rebuilt to move with them.