The Case for the GTM Engineer Reporting to the CEO

GTM engineering roles have grown fast, yet most sit under sales or marketing. The case for a CEO-level GTM engineer who owns the company's context layer, inspired by Brendan Short's swim lanes piece.
Shankar Ganapathy
Co-Founder, Boomerang

By Shankar Ganapathy, Co-founder, Boomerang AI. Published October 29, 2026.

Most companies have now hired their first GTM engineer. Very few have figured out where that person should sit.

Brendan Short's piece on the swim lanes between RevOps and GTM engineering got me thinking about this again. He draws the line well: RevOps is the system of record, GTM engineering is the system of action. I agree with him. I just think the conclusion goes one step further than most people take it.

My view, after a year of building this way at Boomerang AI: outside of your most senior software engineer, the GTM engineer is probably the second most important role in the company. And it should report to the CEO.

How fast is the GTM engineer role growing?

Fast enough that the org chart has not caught up.

Clay, which coined the term, puts the job simply: "Instead of coding software, they're coding revenue."

Where do GTM engineers report today?

Mostly into sales or marketing, because that is usually who asked for the headcount. Even practitioners are unsure where it settles. Dorothy Huynh at Hex, quoted in The State of GTM Engineering 2026, said she is "still keen on seeing which department(s) the role will land in."

What I see in early-stage companies is telling. At seed and Series A, the GTM engineer often works straight for the founder, because the founder is the one person who owns every function at once. So the role naturally spans all of them. Then the company grows, a VP of Sales or Marketing arrives, and the role gets folded into whoever asked for headcount.

I think that is the moment most companies get it wrong.

Why does the reporting line matter so much?

Because the reporting line decides the problems someone is allowed to solve.

Put a GTM engineer in marketing and they work on brand and demand. Put them in RevOps and they work on forecasting, pipeline hygiene and comp plans. Put them in sales and they work on closing more deals this quarter.

Each of those is a construct. A useful one, but a construct.

Jeff Ignacio describes the RevOps job as existing "to design and operate the revenue system that produces performance." That is important work, and it is anchored to the system of record: clean data, consistent process, reporting leadership can trust.

The GTM engineer is different. Brendan describes the role as "a leverage multiplier in every department across the entire go-to-market motion." Every department. That is not a sales ops job description. That is a company-level one. Practitioners see it too: Loriauna Mora at Vimeo says the role is "expanding beyond sales to support the entire revenue org."

Even the incentives show it. Brendan shares that in RevOps at Zoom his variable pay was around 5% against project goals. As a GTM engineer at Apollo it was around 25%, against meetings booked. One role reports on the machine. The other is paid to build it.

Why now?

Vibe coding changed what one person can build. A GTM engineer with Claude, Clay and an API key can now ship in an afternoon what used to need a team and a quarter.

And the balance inside companies is shifting. Marcus Holm, CRO at Exa, said on GTMnow that "product used to be the bottleneck. Now it's go to market." At Exa, he said, the go-to-market team is now bigger than engineering.

When go to market is the bottleneck, the person who can rebuild how go to market runs should sit next to the person who owns the company.

What changes when the GTM engineer owns the context layer?

The real job of a GTM engineer is not automation. It is context.

Every AI agent in your go-to-market is only as good as the context it can see. Who are our customers, what did they say on the last call, what do we charge, who knows whom, what changed in the product last week. Today that context is scattered across the CRM, call recordings, Slack, the website, the pricing page, the changelog and a dozen people's heads.

A GTM engineer who reports to the CEO can own that context layer for the whole company. It is the same idea behind how Boomerang AI works: an agent is only as useful as the context it can see. Once that layer exists, every function starts to look different.

What does that look like across the company?

The website. At Boomerang AI, Claude helps run our website. Not because the model is magic, but because it has the context: our pricing, our call notes, our competitors, our approved claims and our rules (no unsourced stats, never trash a competitor). It fixes facts across hundreds of pages in one pass and stages changes for review. A traditional web team thinks in pages and redesigns. A GTM engineer thinks in context and systems, and the website becomes a living thing instead of a quarterly project.

Social. Most companies treat LinkedIn as a brand channel run by one person. What if every employee posted, with the context already assembled for them: what customers said this week, what shipped, what the market is arguing about? That is a systems problem, not a content calendar.

Pipeline. Sales has spent years buying more data and sending more sequences. The better question is where pipeline actually comes from. Signals tell you when to reach out. Relationships tell you who can open the door. Wiring those together, signals in and warm paths out, is GTM engineering, not sales ops. Our playbook for GTM engineers shows what that looks like in practice, and Claude for sales covers putting relationship context inside the assistant your team already uses.

Customer success. Adoption is a data problem dressed up as a people problem. Which accounts are going quiet, which champion just left, which team never connected Slack. A GTM engineer who sits close to product can instrument that, and give CS a reason to call before the renewal is at risk.

Finance. Revenue recognition is a finance process and should stay one. But the systems underneath it, how billing, CRM, contracts and usage connect, can be rethought end to end. Finance gets cleaner numbers without owning the plumbing.

Isn't this just RevOps with a new name?

No, and I say that with a lot of respect for RevOps.

Brendan's framing is the right one: RevOps owns the system of record, GTM engineering owns the system of action, and they depend on each other. In some companies RevOps does rise to the CEO. In most, it is anchored to the sales number: forecast, territory, comp, pipeline reviews.

The GTM engineer builds the machine. The output is not a dashboard. It is agents, workflows and a context layer that every team runs on. That is closer to how a CTO thinks about the product than how a CRO thinks about the quarter.

What should the CEO actually ask of this role?

If I were writing the job description for a CEO-level GTM engineer, it would be three lines:

  1. Own the context layer. One source of truth for customers, pricing, product, competitors and relationships, that every agent and every person can use.
  2. Make every function faster. Website, social, pipeline, adoption and finance systems, prioritised by where the company is stuck, not by who shouts loudest.
  3. Ship weekly and show the work. Small changes, staged, measured, and written down so the next person, or agent, can pick up where you left off.

The bottom line

The companies that win the next few years will not be the ones with the most AI tools. They will be the ones whose AI tools share the same context.

That context does not belong to marketing, RevOps or sales. It belongs to the company. So the person who builds it should report to whoever runs the company.

At most startups, that is the CEO.

Sources

Frequently asked questions

Who should a GTM engineer report to?

Today most GTM engineers report into sales or marketing, and at the earliest startups they often work straight for the founder. The case for the CEO is that the role's real output, a shared context layer and the agents built on it, serves every function, not one.

What is the difference between a GTM engineer and RevOps?

RevOps owns the system of record: clean data, process and reporting. A GTM engineer owns the system of action: workflows and agents that act on that data across the buyer journey. They depend on each other.

What does a GTM engineer own?

At a company level: the context layer (customers, pricing, product, competitors, relationships), the agents and workflows that use it, and the measurable outcomes those produce, from meetings booked to adoption.