AI go-to-market roles across five functions

AI go-to-market work involves building or running AI systems within commercial functions such as marketing, growth, or revenue operations. It can include production software, campaign automation, creative workflows, and the operations that keep those systems useful.

GTM Vibes uses that scope to select jobs. Working at an AI company does not establish that a particular role includes AI work. The employer’s responsibilities matter more than its product description or the job title alone.

Compare the work across five functions

These employer examples were checked on September 17, 2026. The function labels organize the work for discovery; they are GTM Vibes’ interpretation, and responsibilities can overlap.

Function	Source-backed example	What to investigate before applying
GTM engineering	Sanity describes internal applications, integrations, and AI workflows for GTM teams.	Which systems will you build, and who operates them?
RevOps	Roboflow’s RevOps Analyst helps implement LLM workflows for deal scoring, risk detection, and activity summaries alongside Salesforce work.	How much time goes to system administration, custom development, and AI workflows?
Growth	Lightfield’s Growth Operations Lead sets up and monitors agents that support growth workflows.	Which growth process does the agent run, and what happens when it fails?
Content and creative operations	Lovable’s Growth Creative Strategist builds agentic pipelines for generating and adapting creative, with quality evaluations.	Who defines quality, approves output, and learns from campaign results?
Marketing operations	LangChain’s Marketing Operations Systems role combines campaign infrastructure with deploying AI tools and workflows.	How do AI workflows connect to campaign setup, tracking, and reporting?

Sources: Sanity, Roboflow, Lightfield, Lovable, and LangChain.

What do the A and B labels mean?

GTM Vibes assigns two public labels to qualifying listings:

• A — AI is the work: The role centers on building, deploying, or operating AI inside go-to-market.
• B — Builds with AI: Building or running AI workflows, agents, or systems is a substantive responsibility within a broader GTM role.

These labels describe the relationship between AI and the work. They are not a seniority scale, a compensation ranking, or employer-issued certifications.

The feed first finds candidates through titles and duty signals, then uses a model to assess the employer description. The final assessment distinguishes A and B from light productivity use or work outside the site’s scope. Classification can be wrong; check the employer’s description when making a decision.

A request to use an assistant for occasional drafting or research does not, by itself, meet this standard. Neither does a company introduction that describes an AI product. The listing should identify what the person builds or operates.

The site’s scope also excludes customer implementation roles such as solutions engineering and forward-deployed engineering, quota-carrying sales, and engineering outside GTM. Those can involve substantial AI work; they fall outside this board’s selection rules.

Building and operating require different evidence

For a building role, look for a named output: an application, integration, agent, or repeatable workflow. Ask which inputs it uses and how the team checks its output.

For an operating role, look for responsibility after launch: monitoring, maintenance, quality review, or improvements based on results. Lightfield explicitly describes noticing and fixing agent failures. Lovable connects creative pipelines with evaluations and diagnosis when workflows break.

Those examples show why an operations or creative title can include substantive AI work. They do not mean every growth, content, or operations role has the same responsibilities.

How to compare two openings

Our recommendation is to compare the actual work before comparing tool names. For each posting, write down:

1. The user and outcome: Who relies on the work, and what should improve?
2. The system: What will you build or operate, and what data does it use?
3. The responsibility: Do you own implementation, daily operation, quality, or coordination?
4. The evidence expected: Which skills are required, and which are preferred?
5. The operating conditions: What location, schedule, and eligibility limits does the employer state?

An employer’s use of the word “remote” does not establish worldwide eligibility. Confirm the details on its current posting before applying. Likewise, a broad function category does not establish a particular coding requirement.

Find openings by function

Use the function that best matches the work you want to own:

• GTM engineering jobs
• RevOps jobs
• Growth jobs
• Content jobs
• Marketing operations jobs

Read the employer’s application page to confirm duties and availability. An example in this guide is evidence of work described on the observation date, not a guarantee of an open vacancy.

Evidence and limitations

We selected five postings to illustrate different functions and read their rendered employer descriptions. This is an illustrative sample, not a measure of demand, typical pay, or the share of jobs that use AI.

The A/B definitions describe GTM Vibes’ selection rules. Our comparison questions are editorial guidance. Employer examples support their stated duties; they do not establish a universal definition for each profession.