Junior Agentic Marketer

Most marketing jobs ask you to make things: posts, campaigns, reports. This one asks you to look at how a marketing or sales team actually works, find the tasks that eat their week, and decide which of those an AI agent should take over. Here is what that looks like in practice.

Take a leasing broker we work with. Approved deals kept stalling because customers sent their paperwork in slowly. Nobody on the team called this an AI problem. It was just a frustrating part of the week. Today an agent chases the missing documents by phone and mail, and it hands the customer back to an adviser as soon as they ask a real question. Drop-off in that phase fell by half.

Before an engineer wrote a line of code, someone had to sit with that sales team, see where the deals were dying, and describe exactly what the agent should do and what it should leave to a person. That is the job.

The marketers who stay relevant over the next ten years won’t be the ones who make the most posts. They’ll be the ones who know how the work should run, and which parts an agent can take over. Nobody has years of experience in that yet, so starting now puts you ahead of almost everyone.

Our Young Potentials Program

This role is part of our Young Potentials Program. We take on people at the start of their career because of their drive, not their CV. If you’re hungry to learn, you’ll get real client work from the first weeks, on real projects, with people who’ll teach you how it’s done.

We don’t need you to have experience. We need you to want this.

You don’t need to be technical

We mean that. You won’t write code. You’ll work as a pair with an AI Engineer, who builds everything. Your job is the part the engineer can’t do: understanding the people, the process and the customer, and turning that into a clear description of what to build.

What you do need is curiosity about how things work, and a low tolerance for doing the same boring task twice.

You’ll probably recognise yourself

• You’ve already tried ChatGPT or Claude on a real piece of work, not just a funny poem.
• You’d rather fix why a task takes three hours than do it faster.
• In a group project or a student job, you were the one who drew the process on a whiteboard.
• You ask “why do we do it like this?” and actually want to know the answer.
• You can talk to a sales manager and to a developer, and both understand you.

What you will do

• Join workshops and meetings with client teams in marketing, sales and support, and learn how their work really runs.
• Map where their time goes and help decide which agent should come first.
• Write down what the agent should do, what it reads, what it must never do, and how we’ll know it works. The AI Engineer builds from that.
• Keep track of the plan, the open questions and who is waiting on what.
• Help the team start using the agent: training, handover, and checking in until it sticks.
• After launch, look at what changed and spot the next opportunity.

See what you’d be working on

Our cases show the kind of work you’d join: an agent that reads an accountancy firm’s shared mailbox and hands the partner a ready-made upsell pitch, two-day workshops with a commercial team on their own campaigns, and a 90-day AI roadmap a pharma board signed off on.

What we’re looking for

• A background in marketing, communication, business or something close. A degree helps, but it’s not the bar.
• Curiosity about AI, shown by something you’ve actually tried.
• Clear writing. Most of what you produce is a description someone else builds from.
• The confidence to ask the question everyone in the room is skipping.

Not for you if

You want to spend your days making campaigns, or you prefer a clearly defined lane over figuring things out.

Interested?

Send your CV or LinkedIn profile. You don’t need a cover letter. Instead, tell us about one thing you made easier, faster or less annoying, at school, at a job or just for yourself: what bothered you, what you changed, and how you knew it worked.