26 FAQs about GTM Engineering in 2026
Definition, skills, tools, comp, reporting structure, how to measure success, and more | Co-written with Patrick Spychalski
If you were forwarded this newsletter, join 6,595 weekly readers—some of the smartest GTM founders and operators—by subscribing here:
Thanks for reading this hand-rolled, 100% organic, farm-to-table (human-written) newsletter.
Presented by Clay.
Bring AI agents, enrichment, and intent data together and turn insights into relevant, timely action. Start building for free.
& Supported by:
Attention → AI Agents for RevOps
Clarify → The Autonomous CRM
Nooks → Agent Workspace for Intelligent Outbound
Sumble → Buying signals from tech stacks, people data, & active projects
Hey, y’all! 👋
The term “GTM Engineer” continues to be one of the most polarizing topics in go-to-market. I first wrote about it back in November 2024 (The Rise of the GTM Engineer), and the questions haven’t slowed down. If anything, they’ve gotten sharper. What does the role actually entail? Is it just RevOps with a new name? Do they need to code? How do you pay them? Is it a fad?
I’ve spent the last year and a half working closely with GTM Engineers, hiring them for clients, and consulting companies on how to build this function. So I figured I’d take the most common questions I get and answer each one as directly as I can.
I had the pleasure of collaborating with Patrick Spychalski, Founder of The Kiln (a Clay Agency that was recently acquired), on this piece. Go follow Patrick on LinkedIn! He’s incredibly smart and building at the bleeding edge.
My goal is to take you on a journey with these 26 questions. We’ll start with the skeptic questions: Is this role even real? Then move into the operator questions: How do I actually hire for this and run it? And finish with the forward-looking questions: Where does this all go?
Here are the high-level categories we cover:
Defining the role
What they actually do
Skills & profile
Hiring
Running the role
Looking forward
Let’s get into it.
26 FAQs about GTM Engineering in 2026
Defining the role
1. What is a GTM Engineer?
A GTM Engineer uses AI, automation, and data to create efficiency, pipeline, and business growth within a go-to-market organization.
You can think of the ideal GTM Engineer as someone who floats around an org looking for things that can be improved, using the latest tech — someone who is constantly curious and tinkering with whatever revolutionary AI tool came out that week. It is a very AI-forward role, and most companies hiring for them view this role as just one of many that they will need to hire to put their organization through “AI transformation”. It’s a role defined by one’s ability to navigate their company’s complex problems, assign solutions to them, and know which tools to implement to drive positive outcomes.
A GTM Engineer is someone who gives your company leverage. I believe it’s someone who does more than just top-of-funnel. This role works across all of your go-to-market, not just outbound/lead gen. Sales, marketing, customer success, account management. Anywhere there’s a process that can be improved with data, automation, or AI, a GTM Engineer can add value.
I wrote more on the definition of the role here: The Rise of the GTM Engineer.
2. Is GTM Engineering just RevOps?
In many cases, a GTM Engineer is a subset of RevOps (and in some cases, should probably live under RevOps). But a GTM Engineer is not just RevOps rebranded. The jobs to be done are quite different, and the goals vary too. Unlike most RevOps objectives, GTM Engineers can create systems that directly drive pipeline and are shown on the frontend to customers, either from the marketing or sales fronts. And more importantly, the role exists because of new technologies—mainly AI and automation—that didn’t exist a few years ago. A RevOps person manages systems, processes, and data governance. A GTM Engineer builds, automates, and ships things that create pipeline and revenue. There’s overlap, but the mandate is different.
3. What’s the difference between a GTM Engineer and a Growth Engineer?
They’re pretty similar, honestly. The main distinction: a Growth Engineer is typically an actual engineer (they code). A GTM Engineer doesn’t necessarily need to know how to code, though it helps, and they’ll probably learn some Python and SQL over time.
The other difference is scope. A Growth Engineer is typically focused on getting people into top-of-funnel and driving product adoption. A GTM Engineer, in my opinion, can work across multiple departments of the go-to-market org (not just acquisition).
4. Is “GTM Engineer” a role that Clay made up?
No. And yes. Clay originally started calling their internal sales reps “GTM Engineers.” These were people who helped deploy Clay within their customers. They didn’t want to call them salespeople. Think of it like a Figma employee who helps a client implement Figma — you might call them a “Design implementation specialist” or something similar.
Then the broader market latched onto the term and ran with it. But, Clay didn’t invent the job to be done. The role has existed at companies like Ramp, Stripe, and Figma for years—they just called them something else (usually a growth engineer, growth, or a RevOps person with technical chops). The market is simply giving it a name now.
5. Is this just a fad?
No. Maybe the title changes over time (titles often shake out). But someone who uses AI and automation to create leverage across the go-to-market org? I’m highly confident that role will exist in two years. And five. And ten.
The role will also go through its own changes. Tools like Claude Code make building GTM workflows much easier than before, and new tools to replace the old tool will come out every other week. However, the profile of a GTM Engineer—a curious, somewhat technical, and creative person to deploy these systems—will likely be there regardless.
I also think every IC (eg: AEs, SDRs, CS reps) will be using AI more and more. The tools will get much better. But there will always be leverage in having a dedicated person finding opportunities, identifying friction points, and building systems or deploying agents to take advantage of them.
What they actually do
6. What should a GTM Engineer actually work on?
This is where most companies underindex. A lot of teams hire a GTM Engineer and point them exclusively at outbound. That’s a fine starting point. But it’s only scratching the surface.
A GTM Engineer can build across the entire go-to-market org. Outbound pipeline generation, yes. But also: personalized sales decks based on industry and persona, automated competitive displacement campaigns, post-event follow-up workflows, CS-driven upsell and expansion plays, churn prevention alerts, enrichment and data hygiene systems, onboarding sequences for new reps, and more. Basically, anywhere there’s a manual process that touches revenue, a GTM Engineer can probably build something better.
7. Is this role only relevant for outbound-heavy companies?
No. There are many use cases beyond outbound.
You could hire a GTM Engineer who does zero outbound, and they would still give you incredible leverage across customer success, account management, marketing ops, event strategy, community, and more.
Again, I believe some of the best use cases for a GTM Engineer are completely outside the scope of Outbound.
One great example of this is: CRM Enrichment. Many enterprise companies (I would venture to say nearly all of them) have a massive data issue on their hands. The majority of what is supposed to be in their CRM is either outdated, not there at all, or structured incorrectly. This is a multi-million dollar problem for thousands of businesses worldwide, and has nothing to do with outbound. A great GTM engineer can solve this problem through well-orchestrated data and systems, bringing 10x their salary in value through 1-2 workflows.
I wrote more about this here: Most Companies Are Using GTM Engineers for “Automated Outbound.” The Best GTM Teams Aren’t Stopping There.
8. What tools do they use?
A lot. They should probably use Clay (but not only Clay), enrichment tools, Claude Code or similar AI coding assistants, tools like Attention for call recording+extracting actionable data, and be deeply comfortable in the CRM. They should have a strong opinion on tech stack, and that opinion should be evolving constantly (including connecting APIs themselves). Because for a GTM Engineer, the tech stack is evolving faster than any other department.
One important caveat: they should be comfortable adopting tools quickly, but not switching too fast. You need to actually execute, not just constantly tinker with new shiny objects. Avoid Gear Acquisition Syndrome.
You can find the best-in-class GTME tools here: ProspectingStack.com.
9. Do you have to use Clay to be a GTM Engineer?
No. But frankly, most GTM Engineers have gone down the Clay rabbit hole, and it’s a pretty good litmus test in my mind. If you’ve spent 100+ hours in Clay already, you’re probably pretty well-positioned for the technical side of a GTM Engineering role. Clay isn’t the only tool, but it’s become the default training ground for this skillset.
Clay is also a great medium to understand the core thinking patterns that make a GTME great. Sure, you could start your learning journey in Claude Code, but there’s something about the table format in Clay that lends more to that “building block” mentality many GTM engineers adopt when putting together workflows. The puzzle pieces come together a lot easier when you’ve seen them hundreds of times in action.
Since the start of 2026, many of my GTME friends and colleagues have now started to incorporate Claude Code into their workflows (for example: Eric Nowoslawski’s AI-powered cold outbound machine). I anticipate this being more prevalent over time. It’s simply much easier to build using natural language than it is to click around a complicated UI. Once the models get good enough to handle concurrency engineering and Anthropic has a few go-to data providers built in, things could change significantly.
Skills & profile
10. Do they need to know how to code?
No. But they definitely need to be comfortable working with APIs. And more and more, I’m seeing GTM Engineers adopt things like Cursor and Claude Code, writing scripts, connecting APIs, and building more sophisticated automations.
So, while they don’t need to know how to code per se, they need to be comfortable coding. There’s a difference. They need to be able to work with technical tools, connect APIs, debug workflows, and think like a builder.
11. Do they need to know how to work with AI?
Yes. This is a core part of the role. Nobody is an expert at AI right now because it’s all so new. But a GTM Engineer should be incredibly curious about AI. They should be deep down the AI rabbit hole. They should be working with AI tools for dozens of hours every single week. If they’re not spending meaningful time experimenting with AI, they’re going to fall behind fast.
Most companies that hire a GTM Engineer will also view them as a de facto AI advisor, as they understand how closely they’re working with AI-centric tooling every day. This is for good reason: the job is centered on delineating between what AI should be involved in for a project vs what it shouldn’t. Knowing how far you can take AI in a given direction is imperative to being a good GTME.
12. How does a GTM Engineer work with SDRs? Do they replace them?
No, definitely not. But some of the work a GTM Engineer does will probably automate activities in the lower end of your market. For example, companies with an ACV below $10K per year, you might want to fully automate outreach to that segment (or deploy a digital worker or agent).
But segments at companies that are going to pay you $50-100K+ a year? You’re augmenting the work of SDRs, not replacing them. Finding rich data points, operationalizing signals, generating draft emails—but a human SDR (or AE) is still running a motion on larger deals. Human-in-the-loop for the last-mile is key in the enterprise. And that’s not changing anytime soon.
Hiring
13. When should you hire a GTM Engineer?
I like this question. Not enough people are talking about it. I wrote a whole piece on this: When Should You Hire a GTM Engineer?. Here’s my rough idea:
The short answer: once you have a playbook that’s working internally and you want to scale it, that’s when you bring in a GTM Engineer.
Alternatively, it could be worth bringing a GTM Engineer on any time you have either 1) a long-tailed list of problems that you know could probably be solved by one, or 2) a problem large enough to where hiring one is justifiable from an ROI standpoint. You may not have created a great system for cleaning your CRM up yet, but if it’s valuable and you get pitched a good enough way to solve it, then it could be worth making the hire.
There are also great consulting options (ie: GTM Engineering as a service, like at The Kiln) where you can work with someone for 3-6 months before committing to a full-time hire (and/or do both!). This lets you de-risk the decision and make sure the role is going to give you real leverage. It also gives you perspective on what GTME to hire—should they lean more towards an ex-software developer, or an ex-AE who loves Clay? Should they specialize in data acquisition and standardization, or should they know what a good outbound campaign looks like? It’s easier to make these determinations after giving some experts a whirl at your projects.
14. Should you hire internally or externally?
I don’t believe you can (or should) outsource your AI strategy. And a GTM Engineer is one place where that reality shows up. External GTMEs are meant more as an implementation partner for the ideas you (or somebody else in the firm) has come up with internally. When it comes to a full-time team member, though, they will start coming up with those ideas themselves.
Like I mentioned in question #13, I think you can (and likely should) contract with somebody externally for 3-6 months to see if this is a fit. Agencies have seen dozens of companies. They know the pitfalls to avoid. Have been tinkering with AI, automation, Clay, Claude Code, Clawbot, etc., every day for the last 2 years. Use that expertise to your advantage by working with them. Let them show you where the leverage is, what type of person you need full-time, and help you build a job description. That’s a very low-risk way to start. But eventually, somewhere around Series A–C+, a SaaS company should have a GTM Engineer in-house.
15. Where do you actually find GTM Engineers?
There’s no established talent pipeline yet. Most are coming from RevOps, growth, or SDR backgrounds. I’d point people to Clay’s website under their new GTME Talent Hub. Or you could approach somebody from a one or two person Clay agency as a starting point (I’m seeing this quietly happen).
But the best place? Find somebody internally. Maybe an ops analyst or an SDR who wants to become more technical and is already hacking on AI stuff, dabbling in Clay and Claude Code on nights and weekends. Give them the path to continue down that road. Promote them, give them resources, give them a budget to go upskill themselves. That’s the highest-ROI move. Because they already have all the context of your business and teams. I wrote about resources and paths to becoming a GTM Engineer in How to Become a GTM Engineer (8 Resources).
16. What seniority level should you hire at?
Start with someone who is hands-on-keyboard. Even if they’re a “principal-level” GTM Engineer, they should still be an IC, not managing a team. This role is about building and shipping, not delegating. There is a range, of course, and you can find a large spectrum. I talk about this more in question #21 about compensation.
17. What does the interview process look like?
Give them a specific task and see how they solve it. That’s the core of it.
But there are also quick signals you can pick up in conversation. Ask them: what’s your favorite AI tool right now? What’s something you hacked on over the weekend? You can tell very quickly if someone is genuinely AI-curious and in the tools every day, or if they’re just asking ChatGPT a question a couple times a day.
You want somebody who has personally deployed an agent. Who understands prompting. Who, right now in early 2026, is dabbling with Claude Code or set up OpenClaw (ie: someone building at the bleeding-edge). Have them share a project they built themselves. Not something someone else built. A GTM Engineer is hands-on-keyboard. They are an IC, not a manager. Run the interview process with that in mind.
One more tip: the best ones are naturally curious themselves. The people who have independently stumbled upon these tools, worked with them, built workflows, and seem to love the “hacker” mentality are often the people we find to be the best.
18. What’s a good job test for a GTM Engineer?
I think you should test for two things:
First, practical skills → Can they use Clay (or something similar) to enrich data, build workflows, and create real outputs?
Second, soft skills → Can they think strategically, communicate clearly, and understand the business context behind the work (eg: talking about your ICP, key personas, value/unique selling proposition, etc.)?
You need both.
Running the Role
19. Where should they report?
Honestly, I don’t have a perfect answer. A lot of people today would say RevOps, and they might be right. But there are use cases where they might roll up to a COO directly. Or sit inside a marketing org, or even the sales org. I think about this similarly to where you’d place an SDR function—it depends on what executives you have and who is best suited to manage this person and give them the right context and air cover (CRO’s org vs. CMO’s org).
Given that a GTM Engineer can help many different departments, the risk of putting them under one department means they’re siloed in their potential for your company.
So, one thought experiment would be to have a GTM Engineer not report to a singular person. Sure, they should have a main report, like a CRO, but they have to work so deeply in different parts of an org that it would actually be counterproductive to have them siloed off in one department. For example, they may need to chat almost exclusively with a CMO for a month to build something there, and then completely ignore them the next month to build something for a RevOps lead. They should be judged on their net value add across these orgs, and the person making that judgement call should not be partial to one of them over the other. More on this in the next question.
20. Who should prioritize what a GTM Engineer works on?
It depends on the seniority of the GTME. One of the big differentiators when hiring is: are they just executing what they’re told, or are they building the strategy and executing? Both are valid. But, they’re very different hires.
In either case, you want the CRO/CMO (plus the founder and the Head of RevOps) driving the “roadmap” of the GTME. For instance, if there are 20 possible projects, someone needs to direct the prioritization. Should the GTM Engineer focus on outbound? Or cross-sell and upsell? Or churn prevention? Those are very different workstreams.
Even the most strategic, senior person needs the business context as they’re ramping. They don’t know the business like an existing founder or executive does.
21. How should a GTM Engineer be compensated?
This is a tough one because there’s a big range of hires in this role. You can find a more junior person—maybe someone who isn’t US-based—and pay them less. Maybe they’re doing some automated outbound, running Clay tables, keeping things operational.
But someone deep in the details and strategic? That’s a different hire. This person isn’t just executing a plan. They’re coming up with the plan alongside the VP of Sales, CRO, or CEO. That person needs to be paid at least $220-250K+ OTE.
My hot take: I think a GTM Engineer should have something like 25% of their OTE in performance-based comp (eg: variable). Similar to what an SDR or AE might have. This role is directly responsible for outcomes, so the comp should reflect that performance-based upside.
22. How do you measure success?
It depends on where they sit. The most common starting point is top-of-funnel: how many meetings are they booking? How much pipeline are they generating? How much of that pipeline is converting to Stage 1?
As you expand the GTM Engineer into other departments (eg: customer success, account management) you might measure them on upsell and cross-sell revenue. Event-related work (pre-event outreach, post-event follow-up) is fuzzier to quantify, but you should still try to tie them to specific outcomes they’re helping drive, either directly or indirectly.
At The Kiln, success is often measured based on the project, or projects, that the GTME works on. For example, a CRM enrichment project will have KPIs related to data quality and structure. Outbound projects tie to pipeline generation. Response automations are tied to speed. This is what makes comp for these roles so hard, because their cumulative success has to be a composite function of several different metrics.
Looking forward
23. What happens to this role when AI tools get easier to use and reps can do it themselves?
I think the role will still exist, but AEs, SDRs, and other ICs will absolutely do more “technical” things over time as tools improve.
Think of it as a spectrum. I believe it takes 50-100 hours minimum to get really good at Clay. Clay is more flexible and powerful than incumbent data providers or sequencing tools. And something like Claude Code is even more flexible and powerful than Clay, but has a steeper learning curve.
Where you start on that spectrum depends on where you are in your GTM journey, where you are in your AI deployment journey, and what people and resources you have. The GTM Engineer role evolves with the tooling, but the need for someone who sits at the intersection of strategy, systems, and execution isn’t going away (in fact, I believe it will grow in value).
24. How does this role evolve as the company grows?
This is the best part of a GTM Engineer! Whether you’re helping 3 reps or 3,000 reps, a GTME is building systems that scale. So, it doesn’t matter if you’re building a personalized sales deck workflow for 3 people or 3,000. That workflow looks exactly the same. What changes is the number of tokens consumed. Your AI bill may go up, but the work of the GTM Engineer scales beautifully. It really is magic (sorry to nerd out on this stuff, but I assume if you’re reading this, you nerd out on this stuff too).
25. How long does it take for a GTM Engineer to ramp and show ROI?
It’s harder to justify ROI than an AE or SDR, but easier than many marketing hires. The results—especially if they’re focused on pipe gen, even in part—are very quantifiable. Pipeline generated, meetings booked, conversion rates improved. You can tie numbers to the work.
The other thing I’d say is more anecdotal: you will feel the strategic impact of this person within 60 days (or even a lot less). The systems they build, the friction they remove, the ideas they surface—it shows up fast if they’re good.
26. What’s the career path for a GTM Engineer?
My honest answer: I don’t know. This role didn’t exist two years ago. I don’t know exactly what the trajectory looks like yet.
But I think there’s a world where a great GTM Engineer is going to be paid incredibly well and will want to stay an IC—just like in the engineering world, where principal engineers exist and thrive without managing people. I think that will and should exist for GTM Engineers. The path isn’t necessarily about managing a team. It’s about expanding scope and impact. Maybe AI Ops eventually is a better name for this role.
The short answer is nobody knows where this career path leads because it’s so new. But if you’re thinking about getting into GTM Engineering, I think it’s one of the most interesting places to be in your career right now. You’re on the bleeding edge of AI. You’re deploying AI at scale inside your company (for real). And I can’t be more bullish on AI as a long-term tailwind for these people. From a career perspective, that gives you a lot of optionality. Whether as a GTM Engineer yourself, or hiring one and embedding them on your team.
» » »
The GTM Engineer role is still early. The conversation is (currently) outpacing the adoption. But I strongly believe that the companies that figure this out now—and give the role real scope beyond outbound—are going to have a meaningful head start.
If you have questions we didn’t cover in this FAQ, drop them in the comments!
Thank you for your attention and trust,
Brendan 🫡