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 brief an AI agent so it does the job the first time: the eight-line job spec template, what Anthropic and OpenAI say about agent instructions, how to train an agent like a new hire, where corrections go, and two filled-in specs from systems we run.
AI search visibility is a weekly system, not a one-time audit: make sure the engines can read you, ask the same buyer questions every week, count how often you are named, rewrite one page, and measure again.
A four-week plan to become a marketing engineer: audit a real company, build its growth repo and market memo, ship one working system, and write the one-page case study hiring managers ask for.
A creative testing engine turns one offer into a tree of motivations, angles and hooks, tests them on a written finish line, and records every result in a ledger nobody edits.
A customer truth system reads your calls, tickets, churn notes, CRM and reviews every week and writes one memo where every claim has a quote, a link and a count.
A day-by-day 30/60/90 plan for an owner bringing on a marketing engineer: what to hand over before day one, what should exist at day 30, 60 and 90, how to pick the first system, and the red flags that tell you early.
How to build founder-led content with AI that still sounds like the founder: record one interview a week, extract quotes with timestamps, cut one idea into twenty pieces, log what performs, and keep a written approval line.
A growth cockpit is a weekly marketing report written as a one-page Monday memo: what moved, why, and what to do next.
A growth repo is one folder where your marketing memory lives as plain files every AI agent reads before it writes.
We do not write about marketing engineering from the outside.
Most marketing data can go to a cloud model under a commercial agreement.
Before you hire a marketing engineer or an agency, score your growth system.
In a 2024 study, 48 percent of law firms could not be reached by phone.
The ten parts an AI agent needs to do real marketing work: a marketing data pipeline, a warehouse, a server, scheduled jobs, storage, login, Git and one API gateway.
MCP lets an AI assistant query Google Analytics, Google Ads, Meta, HubSpot and PostHog directly instead of working from pasted exports.
Marketing engineer KPIs for owners: one signal number per system, a health line, honest hours saved, and a weekly card you can copy.
Yes, a non-technical marketer can become a marketing engineer.
How to build outbound on intent signals instead of lists: eight signals and where the data comes from, the enrich-score-draft-approve loop, a banned-language file, the CAN-SPAM and Gmail rules before anything sends, and why qualified replies is the only number to watch.
Meta and Google optimize for whatever event you send them.
A marketing engineer spends the week building, fixing and reading the systems that do marketing work, not doing the work by hand.
A marketing engineer builds the systems behind the marketing: agents, data and automations that turn customer signal into pipeline.