What is an Agenteer? The role every team is about to need.

Walmart now expects its employees to build their own AI tools — what they call “nano agents,” shippable in a week. 84% of US desk workers say they want to use AI agents more, and 83% are already teaching themselves. HBR’s February 2026 cover story profiles the first people in what they call the Agent Manager role. The role didn’t exist a year ago.

Something is happening. And nobody’s named it well yet.

So here’s the name.

An Agenteer is the person who spots automation opportunities, builds AI agents and systems, deploys them, and operates them.

Not an engineer. Not a manager. A builder. The one who removes the monkeywork from everyone else’s plate so the team can focus on the work only humans can do.

This essay defines the role: what it is, why it’s happening now, and what to do if it’s already you.

Like engineer. The “-eer” suffix has always implied craft. An engineer doesn’t manage engines. They design, build, and operate them.

An Agenteer does the same — but for agents, automations, and AI-powered tools. Hands-on. Accountable for the system working.

Spot. They notice the workflows nobody else questions. The four-hour Monday report. The 200 manual email follow-ups every month. The proposal template everyone copy-pastes from last quarter. They ask the question that defines the job: “why is anyone still doing this manually?”

Build. They design and build the agent, automation, or tool that fixes the problem. Mostly without writing code. Mostly by briefing in natural language.

Deploy. They ship it into the team’s actual workflow. Starting with a prototype, then turning it into a working system people use every day.

Operate. They own the running system. They monitor it, fix it when it breaks, refine it as the business changes.

In February 2026, HBR published “To Thrive in the AI Era, Companies Need Agent Managers.” Their argument is sharp: companies need someone to orchestrate AI agents the way product managers orchestrate software. They’re right about the need. Wrong about the scope. Their Agent Manager only covers Act 4. Vibe coders mostly stop at Act 2 or 3. Agenteers do all four.

For years, no-code tools quietly built the foundation. Make, n8n, Zapier — powerful enough to run real businesses if you were patient enough to learn them. They worked, but the bar was still there. You had to learn what a node was, what parsing meant, why your scenario broke when an API returned an unexpected field.

Then AI coding agents arrived. Claude Code. Cursor. Lovable. Replit. Codex. The bar collapsed. You can describe what you want in plain language and get working software back. Need a Make scenario? Claude Code writes it. Need a custom dashboard? Lovable builds it. Need an internal tool? Cursor ships it in an afternoon.

The question is no longer whether you can build it. The question is whether you can see what needs to be built.

The skill that used to be coding is now briefing.

If you can brief a colleague, you can build an agent. The bar is that low. The ceiling is that high.

Briefing is a skill millions of professionals already have. It’s how a marketing director gets work done. It’s how a consultant scopes a project. It’s how a designer briefs a junior.

The Agenteer directs the AI the same way they’d direct a junior team member. Brief it. Iterate. Test. Own the result.

It starts the same way every time. A domain expert sees a workflow that’s clearly broken or repetitive. They pick up a tool — Claude Code, Cursor, Lovable, n8n, Make, Copilot Studio, Lindy — and try. They build something that works. The team’s productivity jumps. Other teams ask if they can do the same thing for them. Suddenly that person is the most valuable person in the building.

These people are everywhere. They don’t have a job title yet — but the skill they picked up is about to define a generation of professionals.

EY surveyed 1,148 US desk workers at billion-dollar companies in late 2025. 83% are teaching themselves AI on their own time. 84% want to use it more. 59% say their company’s training is inadequate. The Agenteers aren’t waiting for permission. They’re already here.

It’s time to name them.

A few quick examples to make this concrete:

Different scales. Different industries. Different tools. Same pattern.

We’ll be interviewing more “Agenteers in the Wild” on our Podcast, coming soon.

The space is crowded with adjacent terms. Most describe a piece of the role. None describe the whole.

More accountable than vibe coding.

More accessible than engineering.

More hands-on than managing.

More strategic than operating.

Most Agenteers won’t just be Agenteers. They’ll be Domain Agenteers — people with deep expertise in a specific function who stack the Agenteer skill on top of it.

The pattern looks like this:

The domain background is the moat. A general Agenteer can build something functional. A Marketing Agenteer who’s spent five years running campaigns will build something useful — because they know which decisions matter, which data is noise, and where the real friction lives.

HBR is blunt about this: domain expertise matters more than AI expertise for this role. The best Agenteer in marketing is a marketer. The best Agenteer in finance is someone who’s done close-of-month reconciliation by hand and never wants to do it again.

Your existing career isn’t a prerequisite to abandon. It’s the foundation everything else stacks on.

TechWolf — a Belgian Series B HR tech company — is hiring an “AI Marketing Engineer” who knows “Claude Code inside-out” and chains models together to drive ARR. Ramp is hiring an “Agentic Operator, Growth Marketing” at $168K-$231K — explicitly: “build AI that does the work and recursively learns.”

Different titles, same job description. The Marketing Agenteer is already on org charts.

It’s also showing up in interview rooms. Stanford GSB MBA students are now arriving at summer-internship interviews with portfolios of AI builds. One of Jennifer Aaker’s students built an agent that negotiates trucking rates for independent operators, and was promptly absorbed by HappyRobot — a logistics-AI startup — as a founding-team member.

The CEOs are giving permission.

Doug McMillon (Walmart CEO): “AI is literally going to change every job.” Walmart’s strategy makes that practical: any team can now build small AI tools — “nano agents” — in as little as a week. Employees, not engineers.

Geoff Charles (Ramp CPO): “If you’re not using Claude Code this year, no matter what your role is, you’re probably underperforming compared to others on the company.” Ramp publishes a 4-level AI proficiency framework. Level 0 (“sometimes uses ChatGPT”) employees, in his words, “probably won’t be there long.”

Jamie Dimon (JPMorgan CEO, 2025 annual letter): “AI will affect virtually every function, application and process in the company.”

230,000 JPMorgan employees already use the bank’s internal LLM Suite. Their Claude Code pilot starts April 2026 — the largest US bank in the country betting that enabling every function to build is the next era of work.

“Isn’t this just vibe coding?” Vibe coding is a method. Being an Agenteer is a role with accountability for the running system. The difference is ownership: vibe coders move on after they ship; Agenteers operate what they built.

“Isn’t this just hype?” Maybe. The same thing was said about every role that became a standard hire. “Growth hacker” was hype in 2010. “Data scientist” was hype in 2008. “DevOps engineer” was hype in 2009. All three are now standard hires with degree programs and salary bands. The World Economic Forum projects a net gain of 78 million jobs from AI by 2030. Some of them will need a name.

“Won’t AI engineers do this anyway?” AI engineers are necessary but not sufficient. They have the technical skill. They lack the domain context. The marketer-Agenteer who knows your campaign workflow inside out will build something the AI engineer would never think of.

“Will agents replace people?” Sometimes. Mostly they free people for higher-value work. Asana’s Anatomy of Work Index found knowledge workers spend 58% of their day on “work about work” — status updates, switching apps, hunting for information. EY’s 2025 workforce survey found 86% of employees report AI agents have positively impacted team productivity. Agenteers close that gap. Teams end up doing better work with the time they get back.

The arc is consistent across every emerging professional role of the last 20 years.

Don Norman coined “user experience” in 1993. Major universities started teaching it within a decade. DJ Patil and Jeff Hammerbacher coined “data scientist” in 2008. Master’s programs followed within a decade. Sean Ellis coined “growth hacker” in a 2010 blog post. Within a decade, every venture-backed B2B SaaS had a growth team.

A frustrated practitioner names a thing already happening. The term gives the work a coordinating identity. The role institutionalizes from there. External consultants come first. Then companies realize they need it in-house. Then certifications. Then degree programs. Then it’s standard.

I’m not predicting dates. The space moves too fast for dated predictions. What I am predicting is the shape: this becomes a real job title. Job postings will list “Agenteer experience.” Recruiters will use the term. There will be courses, certifications, and eventually degrees.

If you’re already doing this work, you’re early. 54% of US desk workers say they feel they’re falling behind their peers on AI. Being one of the people they’re falling behind is a good place to be.

If you’ve been spotting automations and building tools to fix them — sometimes for yourself, sometimes for your team — you have a name now.

You’re an Agenteer.

Scott Brady, the venture investor teaching at Stanford GSB, frames AI building like physical fitness: “If you don’t do it for a week, you are going to get weaker.” This isn’t a credential you earn once. It’s a habit you keep.

Three things you can do today.

Self-identify. Stop calling it “automation stuff I do on the side.” Call it Agenteer work. Call yourself an Agenteer. The name will feel weird for two days. Then it’ll feel obvious.

Make it heard. Put it on your LinkedIn. Tell your team. Every conversation that uses the term moves the role closer to existing.

Find your people. I’m gathering the Agenteers doing this work into a community at agenteers.ai — before the role has a name on org charts. The early members will define what an Agenteer looks like.

Not engineers — Agenteers. The people every team is going to want one of.

You’re one of them. Come find the others.

Kasper Vancoppenolle works full-time as an Agenteer — currently as a consultant, building agents, workflows, and AI systems.

Background research, related arguments, and the sources behind this essay.

The six case studies above each link to their full source. A few more worth your time: