Marketer to Marketing Engineer: Build Your First AI Marketing Agent

When the question is 'How do I do more with less?', automation looks like a good answer.

But automation only becomes a growth engine when you are trained to spot workflows worth automating and build the agents to automate them.

Some US companies are now paying up to $296,000 a year for the marketing engineer role

So how do you become the person on the team who can spot a workflow worth automating and build the tools to automate it?

We'll show you how marketing engineers match basic marketing theory with systems thinking

We posit that we are not machines. We all know which parts of our jobs we profoundly value and don't want to offload.

Lee's company Into-it is building an AI marketing department in partnership with the London School of Economics

Marketing Week called it "a glimpse into the future of how marketing teams will function."

A positioning statement isn't something your customers will ever see.

Think of it as a compass for your marketing team: a single, unambiguous idea that keeps everyone aligned.

It outlines how you want your product to live in your audience's minds.

We'll use the University of Virginia structure: target, brand, category, point of difference and reason to believe.

For example: "Among snackers, Snickers is the brand of chocolate bar that satisfies hunger because it is packed with peanuts."

We'll show you how to use the AI chatbot within n8n to rebuild Into-it's positioning statement agent one node at a time.

You'll leave with the finished agent installed in your own n8n account.