A marketing engineer builds the systems behind the marketing: the agents, data, and automations that turn what customers say into pipeline. Start with What Is a Marketing Engineer?, then read by job: hiring one, becoming one, or building the six systems yourself. If you want the systems built for you, see how we run marketing engineering for clients. If you want to do the work, see how we train marketing engineers.

How to write instructions for an AI agent: the eight-line Day-One Spec, the Stranger Test that checks it, how much to supervise a new agent, which decisions it may make alone, and a copy-paste prompt that writes your first spec with you.

How to track AI search visibility without fooling yourself: make sure AI crawlers can read your site, freeze a set of buyer questions, count how often assistants name you as a rate with a range, and fix one page a week.

How to become a marketing engineer in 30 days, with or without code.

How to test ad creative so you keep what you learn: write each ad down as a bet before it runs, test buyer reasons before hooks, read the result once at a line you set in advance, and file every answer in one log.

Voice of customer analysis that holds up: a weekly memo built from your calls, tickets, cancel notes and reviews, where every line carries a quote, its source file and a count.

A 30-60-90 day plan for a marketing engineer: build and prove one system, not five.

Founder-led content without the AI sound: record what the founder already says, pull exact quotes with timestamps, cut one idea into twenty pieces, get the founder's yes on each, and feed the results back.

A weekly marketing report should fit on one page and make decisions.

Give AI context about your business without pasting it into every chat.

How to quality check AI marketing work, from an agency run by marketing engineers.

Is it safe to put customer data into AI? For most fields, yes, once you sort them.

A marketing systems audit checklist with a hard rule: 20 yes-or-no questions on lead data, reply speed, feedback, ownership and goals, and a yes counts only with proof you can open in five minutes.

Marketing automation for small business starts with the dropped handoff, not more leads.

What a marketing data stack for AI agents needs: six jobs (collect, store, run on a schedule, version, connect, check), what to buy and what to build, and a four-rung ladder for what an AI may read and change.

Marketing engineer KPIs that hold up: grade each system on what buyers did, not what it produced.

Trigger-based outreach means writing to a company only when a dated event gives it a reason to talk.
Server-side conversion tracking explained: why browser counts drift, what a server-side event carries, how to check that your ad platform, CRM and sales team agree, how to send lead quality back with the Send-Back Ladder, and how to keep consent intact.

What does a marketing engineer do all day? They run one loop, research, build, ship, learn, and spend the week on work that changes how other work gets done.

What is a marketing engineer? A marketer who builds systems instead of assets.