GTM engineering: what it is and how to make it pay off

Every few years, there’s a new silver bullet for growth

Anyone remember growth hacking? In 2010, Sean Ellis, Dropbox’s first marketer, was trying to hire his replacement. The marketers he met kept talking about budgets, PR and brand awareness, and he wanted someone obsessed with growth. Out of frustration, he wrote a blog post called “Find a Growth Hacker for Your Startup” and gave the job a new name.

For a few years, every startup wanted a growth hacker, and not many could explain what one did that a good marketer couldn’t. The title fit a startup culture of fast experiments, where you tested an idea this week and kept it only if the numbers moved.

That way of thinking never left. Today, it looks like everyone is looking for a GTM engineer: LinkedIn went from about 1,400 GTM engineering job posts in mid-2025 to more than 3,000 in January 2026. Whether they think they need one or not, most revenue teams want to know what it could change for them. The promise is systems that do a sales team’s prep work on their own, from finding the right accounts to drafting the first email.

What bothers me is how much of the conversation is about the tools and workflows, and how little is about what prospects actually read.

What GTM engineering is

GTM engineering means automating the parts of selling that used to be done by hand, like account research and watching for signs that an account might be ready to buy. A GTM engineer is part salesperson, part builder.

It doesn’t replace your marketers or your reps. It sits between them and takes over the list building and lead routing both rely on, so each side spends more time on the work that needs a person.

Most of what a GTM engineer does was always part of selling. What changed is how it gets done. An SDR used to open a dozen browser tabs to research a single account, then paste a first name into a template. Now a workflow researches every account on the list and drafts a first email from what it finds.

That’s a real improvement, and the gain is time with buyers. Salesforce’s 2026 State of Sales found the average seller spends only 40% of their time selling. Every hour a workflow takes off research is an hour a rep can spend on calls.

Buyers still want that time. In a Gartner survey published in May 2026, 69% of B2B buyers said they turn to sales reps to check what AI tools told them. Knowing how to engage with buyers still takes judgment.

Automated plays wear out faster

Growth hacking already showed what happens when everyone automates the same plays. In 2012, Andrew Chen, now a general partner at Andreessen Horowitz, noticed that every marketing tactic that works gets copied until it stops working. AI makes the copying faster.

A lot of revenue teams are now racing to do more with fewer people, adding tools and workflows, some of them vibe-coded over a weekend. You can see it in how people share their work. One builder recently posted an app that turns a prospect’s website into a full outbound strategy, with angles, offers and email copy, in 60 seconds instead of half a day.

Ask the people who built those systems what matters, though, and they often point the other way. The person behind that app told a newcomer to start with the strategy side, because the tool only automates thinking he’d spent months of campaigns working out. Some of the best-known cold email operators say the same thing about their results: the offer is what gets replies.

Write and test the message before you build

GTM engineering works best when you have substance that already resonates with your customers. That’s worth scaling. Before that, while you’re still working out your positioning, you end up automating guesses and rebuilding the workflows every time they change. A sequence that gets no replies from 200 prospects won’t do better with 20,000.

The part of sales and marketing that tends to get skimmed in the race is listening to customers, understanding how they see their world, and shaping what you say from there.

Emma Stratton’s advice is to write the message in the words customers use, then test it in outbound emails and with the sales team before rolling it out.

Wynter, which tests B2B messaging, reports that one customer, Appcues, raised its homepage conversion rate by 73% after rewriting its message based on buyer feedback.

When we set up GTM engineering for a client, the automation comes last.

Fit the message to your market

Buyers know more than they used to. An offer that got replies five years ago can get nothing today, because prospects can look up every alternative in a minute.

A good message depends on how much the buyer already knows. Someone comparing vendors in your category needs a reason to choose you, while someone who hasn’t noticed the problem needs to see it first. I cover how that changes your approach in 4 key questions to find the right GTM strategy.

The size of your market matters too. Some outbound teams skip follow-ups entirely, because with over 100,000 contacts in their market, a new name is cheaper than a second email. When your whole market is a few hundred accounts, every bad email costs you a real prospect.

Most people don’t reply to the cold emails they get. They still read some of them, and those shape which vendors come to mind when they need one.

Even Sean Ellis left room for positioning. In the post that named growth hacking, he asked whether positioning was important, and answered that “a case can generally be made.”