Role 1: Prompt Strategist
Most teams treat prompting as something anyone can do. They are right that anyone can do it. They are wrong that it does not matter how well it is done.
A Prompt Strategist owns the prompt library. They write, test, and refine the prompts that the whole team uses. They make sure that when someone asks AI to write a product brief or a campaign headline, the output sounds like the company, not like a generic AI response.
In cybersecurity marketing, this matters more than in almost any other sector. The language is specific. The buyers are sceptical. The difference between a prompt that produces useful output and one that produces FUD-heavy boilerplate is significant, and it does not happen by accident.
If your team is prompting from scratch every time, you are leaving quality on the table. A shared prompt library, maintained by someone who understands your brand and your buyers, is one of the highest-leverage investments a cybersecurity marketing team can make.
Role 2: Agent Ops Manager
AI tools have moved from assistants to agents. They do not just respond to a prompt, they execute multi-step workflows, hand off between tools, and produce outputs that feed into other processes.
Someone needs to design those workflows, maintain them, and make sure the outputs are consistent. That is the Agent Ops Manager. In larger organisations this role is sometimes called the Chief Agent Officer. The title matters less than the function: one person who understands how the AI stack fits together and is responsible for keeping it working.
The most effective teams we see are building what you might call a brand DNA system: a documented set of rules, examples, and guardrails that governs every AI output across the marketing function. It takes someone to design it, someone to maintain it, and someone to make sure the whole team is using it correctly.
For cybersecurity marketing teams, this role is particularly important because the content requirements are complex. Technical accuracy, compliance considerations, and buyer-stage targeting all need to be built into the workflow, not checked afterwards.
Role 3: AI Content Strategist
This is not a new role. Content strategists have existed for years. What has changed is the scope of the job.
An AI Content Strategist decides what to create, for which platform, in which format, and for which stage of the buyer journey. They then build the playbooks and style guides that allow AI to execute that strategy consistently. The production work moves to AI. The strategic thinking stays human.
The risk in cybersecurity marketing is that teams skip this step. They use AI to produce content without a clear strategy for what that content is supposed to do. The result is a lot of content that is technically correct and completely ineffective.
A writing style profile, a platform-specific content playbook, and a clear brief template are not nice-to-haves. They are the difference between AI content that builds pipeline and AI content that fills a calendar.
Role 4: AI Creative Director
This is the most important role on the list, and the one most teams do not have.
An AI Creative Director is not the person prompting. They are the person with taste who reviews, refines, and approves what AI produces. They know what good looks like. They can tell the difference between an image that is technically correct and one that is actually compelling. They understand why a headline works or does not work, and they can fix it.
In cybersecurity marketing, this role requires two things that are genuinely hard to find together: creative judgement and sector knowledge. A creative director who does not understand the cybersecurity buyer cannot evaluate whether the output is going to land. A cybersecurity expert without creative judgement cannot tell whether it is any good.
The speed gains from AI in creative production are real. Work that previously took two weeks can take two hours. But the quality still depends on the human at the end of the process. AI can produce a lot of options quickly. It cannot tell you which one is actually good.
What this means in practice
These four roles do not require four new headcounts. In most cybersecurity marketing teams, they are functions that can sit within existing roles, or be brought in from outside.
What they do require is intention. Teams that treat AI as a production tool without building the human layer around it will produce more content that does less. Teams that build these roles, even informally, will produce less content that does more.
If you want to build these capabilities in your team, we can help. We design AI workflows, build prompt libraries and content playbooks, and train teams to use them. Or, if you would rather hand the whole thing over, we can run it for you.
Work with Matizmo
Want to apply this to your marketing assets?
We work exclusively with cybersecurity companies. Tell us what you are working on and we will tell you if we can help.
Book a Discovery Call
