The AI enablement role companies are quietly hiring for

A new role is showing up across job boards that doesn't have a settled title yet, but a consistent shape: someone who builds the infrastructure that lets a team use AI effectively, rather than everyone running their own version of the same prompt. Samsara is hiring for a "context layer" — a structured source of truth for messaging, ICP, and positioning that a marketing team and its AI tools can draw on. Sonar wants someone who sits with marketers, learns the day-to-day, and automates the highest-leverage parts. GWI calls it a "Growth Marketing OS." GitLab has posted an "AI Transformation Owner" role into the field org. The pattern isn't limited to marketing — finance teams and company-wide AI enablement seats show the same job in different departments.

Across dozens of these postings, three responsibilities recur:

1. Building a context layer. Shared skills, prompt libraries, and a single source of truth for messaging and process, so a 40-person team isn't running 40 versions of the same prompt.
2. Connecting the tools. Marketing and GTM work still spans calendars, decks, the CRM, and Slack — all of which now have some agentic capability. Someone has to wire them together, evaluate new tools, and make the connections actually work for the people using them.
3. Staying current on AI. The tooling changes fast. Someone needs to track what's working, bring it into the stack, and retire what isn't.

For agent builders, this is a role worth tracking: it's evidence that companies want to move faster with AI than an individual ChatGPT workspace allows, and are willing to hire specifically for the infrastructure work that makes that possible.