Definition
A GTM engineer is the person who builds the systems behind a company's go to market work: the data pulls, enrichment, scoring, routing and outreach workflows that sales and marketing run on. The role sits between operations and engineering, and is best judged on pipeline created, not on tools built.
Why it matters when you sell B2B
Outbound used to mean buying a list and hiring reps to work it. Now much of the work before the first email is automated: finding accounts, filling in their data, spotting a trigger event, drafting a first line. Someone has to build and maintain that. That person is the GTM engineer.
For a seller, the role matters twice. GTM engineers choose data, tools and research, so they are buyers in their own right. And when a company starts hiring one, it is often rebuilding how it finds customers.
A worked example
Say a GTM engineer builds a weekly workflow for a sales team of five.
One week of a GTM workflowExample
- 5,000companies
Fit the ideal customer profile, pulled from a company database.
- 300companies
Had a trigger event this week: new funding, a new sales leader, or a job ad naming a rival tool.
- 60companies
Scored highest and routed to a rep, each with a contact and a one-line reason.
The work is not the tools. It is deciding which 60 a rep should see on Monday, and being able to explain why each one is there.
To fill in contacts, many GTM engineers chain several data sources with waterfall enrichment, and use technographic data to sort accounts by the tools they run.
Common mistakes
- 1Measuring workflows instead of pipeline. Forty automations and no meetings is not progress. Ask what each workflow produced last month.
- 2Automating a bad list. Automation makes a weak customer profile fail faster and at a bigger scale.
- 3Building without the reps. If the reps do not trust the output, they will quietly ignore it.
- 4One giant workflow. A single long chain is hard to debug. Build small steps, and log what each one returns.
- 5Never reading the output. Read a sample of rows by hand every week. Errors hide in data nobody looks at.
Five questions for any GTM workflow
- What sales problem does it solve?
- How many meetings or deals came from it last month?
- Can you explain why one account was included?
- What happens when a data source fails or changes?
- Who checks the output, and how often?