How to Hire an AI Employee for Marketing (a 30-Minute Onboarding Plan)

"Hire an AI employee" is a strange sentence until you notice that the mechanics genuinely rhyme with hiring: there's a job description, an interview, onboarding, and a review cadence. The difference is compression — the whole cycle takes half an hour, and firing costs nothing.

This is the playbook we recommend for doing it properly, using marketing as the function (it's the most mature category, and the one we build for — Karloe, disclosure made). Most of it transfers to any AI employee.

Step 1: Write the job description (10 minutes)

List every recurring marketing task you did late, by hand, or not at all in the past month. Typical founder list:

• The weekly what's-working report (assembled manually, or skipped)
• The ad account audit (perpetually postponed — here's the checklist it should follow)
• Campaign variants and landing copy (written at midnight)
• Follow-ups on trials and stalled deals (sent late or never)
• Competitor watching (doesn't happen)

If your list looks like this — recurring, verifiable, execution-shaped — you're hiring an AI employee. If your list is "figure out our positioning" or "decide where to spend," stop: that's a judgment gap, and a different hire.

Step 2: The interview (one task, graded)

Connect your stack — for Karloe that's Slack plus the accounts the job touches (Meta Ads, Google Ads, GA4, Stripe, HubSpot, Notion, Sheets) — and assign one task you can grade against data you already trust:

"Audit our Google Ads account and give me the findings with specific fixes." "Build me the weekly report: spend, CAC, ROAS by channel, what changed and why."

Then actually grade it. Open your dashboards and check the numbers. Read the audit against your own knowledge of the account. This is the entire point of starting with verifiable work: you establish trust with evidence, not vibes — and if the artifact fails the grading, you've spent thirty minutes and $0 learning that.

Step 3: The safety checklist (before granting anything)

• Scoped, revocable OAuth connections — credentials stored server-side, never pasted into chat.
• Read-only by default; explicit human approval before anything publishes, spends, or sends.
• A clear answer to "how do I disconnect this in one minute?"
• Data handling you'd accept for any vendor with ad-account access.

Any product that can move budget without a confirmation step fails the interview regardless of output quality.

Step 4: Onboard like it's week one (because it is)

Feed context the way you'd brief a new marketer: your positioning doc, ICP, voice samples, current campaigns and goals. Then delegate on a schedule, not just on demand — "send the weekly report every Monday morning" is where the employee framing becomes literal: the work shows up because Monday came.

Expect the trajectory, not perfection: week one is verification-heavy; by week three the output should be visibly more on-brand and more your-business-specific. If week three feels identical to day one, the product isn't accumulating context — switch.

Step 5: Review cadence (then relax it)

Week one: check everything. Week two: spot-check. Month two: review the consequential artifacts (anything customer-facing) and let the internal ones (reports, research) run. Declining review burden is the ROI curve — the point where checking the weekly report takes two minutes because it's been right eight weeks running is the point where you've genuinely delegated the function.

When the answer is a human

Honest cases where you should not hire the AI first:

• You don't know what your marketing should say. Judgment gap — buy senior human hours (fractional CMO economics here).
• Your growth depends on one channel at aggressive scale. Elite channel mastery is still a human specialty — pay agency rates for it deliberately.
• You need someone to own a number. Accountability doesn't ship with software.

Everyone else — which in practice is most founders before their first marketing hire — has an execution gap wearing a hiring costume. The interview above costs thirty minutes and nothing else; run it and let the artifact decide.