What is a GTM engineer? Eight employer examples

A go-to-market engineer, or GTM engineer, builds systems that help a company acquire, convert, retain, or expand customers. The work connects commercial processes with software, data, integrations, and automation. Some roles include building and operating AI agents.

That definition is GTM Vibes’ interpretation of these eight employer examples. The title does not establish one standard job description. Before applying, identify the system you would own, its users, and the result the employer expects.

What does a GTM engineer build?

We group the work into five overlapping categories. These categories are an editorial aid, not an industry standard or a measure of hiring demand.

Work category	Example outputs	Employer examples
Revenue data and workflows	Connected CRM records, attribution pipelines, reporting, and operational automation	Bobyard, Oneleet
Acquisition and product growth	Conversion flows, experiments, outreach systems, and technical sales assets	Assembly, Dust, Concourse
Internal GTM applications	Tools that support account planning, handoffs, and other team workflows	Sanity
Customer lifecycle systems	Health scoring, renewal signals, and onboarding automation	Profound
Production AI operations	Agent monitoring, evaluations, regression tests, and cost analysis	LangChain

A single role can span several categories. Concourse’s posting, for example, combines pipeline automation with technical demos and customer conversations. Read the responsibilities before treating a title as a reliable category.

Eight examples from employer postings

We inspected these employer pages on September 17, 2026. They illustrate responsibilities at that observation date; they are not a promise that an opening remains available.

Bobyard — GTM Engineer. The role connects HubSpot, Clay, reporting tools, and other GTM systems. It includes CRM workflows, integrations, and revenue analysis. This example combines building the infrastructure with interpreting its data. Bobyard’s employer posting

Oneleet — GTM AI Engineer, Data & Attribution. This role builds a BigQuery pipeline across marketing and sales sources. It also investigates tracking discrepancies and produces reporting that supports channel decisions. The posting places SQL among technical requirements and Python scripting among preferred skills. Oneleet’s employer posting

Assembly — Growth & GTM Engineer. Responsibilities include coding onboarding and referral features, automating outreach, and running experiments. The position combines product changes with external acquisition work, rather than limiting its scope to CRM administration. Assembly’s employer posting

Dust — Growth Engineer. The role spans website conversion flows, event instrumentation, internal applications, and AI workflows. Dust explicitly asks for software engineering fundamentals. Its posting also distinguishes this Growth Engineer from the GTM Engineers they would work alongside. Dust’s employer posting

Concourse — GTM Engineer. The role builds outbound automation, internal agents, demos, and reusable sales resources. It also involves technical customer conversations. This is a useful counterexample to the assumption that GTM engineers always work only on internal systems. Concourse’s employer posting

Sanity — Senior GTM Engineer, Systems Engineering. The role builds internal applications, APIs, data pipelines, and AI workflows. Sanity describes RevOps and business system owners as maintaining core processes, with this engineer building applications on top. That division describes Sanity’s team, not a universal boundary between occupations. Sanity’s employer posting

Profound — GTM Engineer, Post-Sales. The work includes customer health scoring, expansion signals, renewal risk, and recurring customer workflows. It demonstrates a GTM engineering mandate focused on retention and expansion after the initial sale. Profound’s employer posting

LangChain — Agent Reliability Engineer, GTM Engineering. This adjacent title sits within GTM Engineering. It focuses on operating an agent: monitoring failures, running evaluations, turning incidents into regression tests, and tracking cost, latency, adoption, and business impact. LangChain’s employer posting

Does a GTM engineer need to code?

The technical requirements depend on the role. Sanity asks for full-stack engineering, and Dust asks for software engineering fundamentals. Oneleet emphasizes SQL and lists Python as a preferred skill. Those examples do not support a universal language requirement—or a claim that the work requires no code.

Compare the requested outputs with your experience. Building a production application requires different evidence from configuring a CRM workflow or analyzing attribution. A tool list alone does not tell you how much system design, testing, or operational responsibility the employer expects.

For an application, show how you solved a relevant problem: the inputs, the system you built, the failure cases, and the result. This is our applicant guidance, not a hiring requirement stated by every employer in this guide.

How does the role overlap with RevOps and growth engineering?

The examples show overlapping responsibilities and different team boundaries. Bobyard puts CRM systems and analysis in one GTM engineering role. Sanity describes an engineer working with separate RevOps and business system owners. Dust distinguishes growth engineering from the GTM engineers on its team.

Use those examples to ask specific questions about an opening:

• Which systems and business decisions would I own?
• Who sets the workflow requirements, and who maintains the system after launch?
• Does the role focus on acquisition, sales support, or existing customers?
• What engineering support, production access, and review process are available?
• How does the team measure a useful result?

How can you identify substantive AI work?

Look for a concrete responsibility, such as building an agent, evaluating its output, maintaining an integration, or measuring its performance. LangChain’s posting names production monitoring and evaluations; Profound’s names automated customer workflows and AI use-case analysis.

Our recommendation is to distinguish those responsibilities from a general request to be enthusiastic about AI. Ask what runs in production, what a failure looks like, and who is accountable for correcting it. These questions help you assess the work without assuming every AI tool mention describes the same role.

Find a role that matches the work you want

Start with the category of work you want to own. Then compare requirements, location eligibility, and responsibilities on the employer’s page.

Browse GTM engineering jobs or compare RevOps openings. GTM Vibes’ listings help you discover roles; the employer’s current posting is the place to confirm application details.

How we selected these examples

This is a purposive sample of eight employer postings chosen to illustrate different responsibilities. It includes adjacent titles where the employer describes relevant GTM work. It is not a representative labor-market study, and it does not establish salary averages, skill prevalence, or hiring growth.

We read the rendered employer descriptions directly. We excluded three search-discovered postings whose employer pages displayed “Job not found” during verification. Employer pages can change or disappear; the source map preserves the observation date and the limited claims used here.