Marketing engineer jobs pay $145k to $300k
Leave with a marketing system that runs.
Three live workshops, 10 to 12 November, that teach what the companies hiring for the marketing engineer role ask for.
You leave with a working system to show them: tools, pages and agents your marketing runs on, with no hand-coding.
- Learn exactly what the job ads screen for: AI agents, workflows and measurement.
- Show hiring managers the system, not a line on your CV.
- Certified on what you build, not attendance, with the community there when you get stuck.
Black Friday offer: 25% off, already applied. A year of CXL, November sprint and January cohort included.
From CXL, trusted by 90,000+ marketers at companies like these:
New marketing tools have always created new marketing jobs.
Each time, the marketers who learned to build with the new tool first got the title, the budget and the raise.
AI agents are the biggest new tool marketing has had. This time the job it creates isn’t a channel. It’s the whole stack: any task that runs by hand can now run as a system.
Marketing engineers don’t wait on others.
Today a landing page waits on a designer and a lead-routing fix waits on engineering. A marketing engineer builds both with AI, the same week, on the CRM and GA4.
Companies are hiring marketers who build. They ask to see the system.
The job ads ask for AI agents, automation and measurement, and for proof you shipped them.
Figma’s job ad said it outright: “We care more about what you’ve built than how many years you’ve spent in any one function.”
456
Job ads for this role, found in the last 14 days.
$163k
Median pay in the 117 job ads that state US pay.
*Job ads: CXL’s Marketing Engineer radar, job ads found in the last 14 days, refreshed every two weeks.
Build the systems these job ads are hiring for.
Each job ad names the systems the hire will build: agents, automations, landing pages, lead scoring. The sprint builds the first three on your own stack.
ClickHouseProduct Marketing Engineer, Remote, USBenchmarks, demos, guides and pages that turn the product into clear value props.$200k to $300k
RippleLead Marketing Engineer, New YorkLLM tools and agents for marketing, A/B testing and personalization, tracking into GA4 and Salesforce.$200k to $250k
FaireGrowth Platform, Marketing Engineer, New York or San FranciscoSelf-serve landing pages and audiences, with agents in marketing workflows.$176k to $242k
PlaidAI Marketing Technologist Lead, San Francisco, New York or SeattleAI agents and automations for marketing workflows, and training teams to run them.$170k to $223k
StripeForward Deployed AI Accelerator, Marketing, Remote, USAgents, automations and tools that marketers use in their daily work.$145k to $218kEvery workshop teaches a skill the job ads screen for.
We built the sprint from the skills the 456 job ads ask for most.
You learn each one by building with it, so you can show a hiring manager the system, not a line on your CV.
Three live workshops, and the first three layers of your system.
Prep in the week before, then three 90-minute live workshops, Tuesday to Thursday at 3 PM UTC. You build on your own in between, with us in the community when you get stuck. These are layers 1 to 3 of the Marketing Engineer certification, and the January cohort, included, builds the rest.
Black Friday offer: 25% off, already applied. A year of CXL, November sprint and January cohort included.
Sprint, 10 to 12 November
Workshops run Tuesday to Thursday at 3 PM UTC (10 AM ET, 4 PM CET).
Designed with Diane Wiredu, built with CXLContext
Designed with Tyler Durman, built with CXLCampaigns
Designed with Nick Christensen, built with CXLMeasurementWho this is for and what you need
- This is for you if: you have at least 2 years in ops, growth, demand gen or content, and you run campaigns and read your own performance data. No hand-coding.
- You do not need: prior Claude Code or n8n experience. Every build starts from a template.
- A paid Claude account, Claude Code preferred, plus a free Miro account. The reporting agent and AI visibility builds also use n8n.
- Prep before your first session in the app, suited to all levels. It counts toward your average of 1 hour a day. If you get stuck, we help you through it.
- Any other tool is explained live, with alternatives. You are not locked into one stack.
What members built, and what they said.
Demos and quotes from the community, build by build.
B2B eCommerce platform
Sales signed off the target in writing before the brief passed Gate 1. Five review rounds took the drafts to 87% and 96%.
Campaign engine
Co-Founder, Feral MKT
“That alone used to take me a whole day working in AI-assisted mode (more days without AI), since I had to write all the copy from scratch because I didn’t like what Claude used to give me. This time it took me about an hour.”
Campaign engine
Fractional CMO & GTM Strategist
“I fixed the site and Crunchbase last week and reran Build 1 this morning with the same questions, tools and judge. Accuracy went from 53% to 71%, and wrong answers went from three to none.”
AI visibility tracker
Social club for people 60+, pre-launch
A paid first dinner, to test whether older adults will pay for it themselves. All four channels reached ship after 9 fixes.
Campaign engine
Senior copywriter, elective healthcare agency
“I was really impressed with how it handled the copy, including adding a medical compliance check due to the industry I work in … I loved all of the quality checks and scoring, since I usually do that type of QA work manually.”
Campaign engine
Clinic management software
A campaign to win 50 demo or trial requests in 7 weeks: five channels, all drafted and through Gate 2.
Campaign engine
E-commerce & Brand Strategist
“I built a visual plugin on top of your Marketing Brain, two actually: Visual Brain for the brand’s visual direction and Product Visual for product image storyboards … I put my own brand through it and it already gives me something I can work with.”
Own plugins on Marketing Brain
AI-Forward Marketing Executive
“I was in your workshop 12 hours ago. I already have a workflow live… I feel like a freaking WIZARD!”
Last cohort
Fractional CMO practice, launching
Tested a new fractional CMO offer on her own website, using public data only.
Marketing Brain
Marketing Communications Manager, TXI
“Connecting my systems made the biggest difference. Pulling deals straight from our HubSpot CRM, plus Semrush data on our content, gave the ICP and the messaging real evidence instead of guesses.”
Marketing Brain
Director of Messaging
“Being able to identify valuable work to be done, build a workflow/agent to do it effectively and consistently, and deploy it across my team will be a skill that sets my team and I apart within the org.”
Workflows
Marketing agency for health clinics
Ran the brand book through it: every claim about the buyer came back tagged hypothesis or blank.
Marketing Brain
Content Strategist
“This course got me to take writing instructions seriously and tailor them to how I work. Before, I was mostly just chatting with AI. Now I’m trying to build actual workflows.”
Workflows
Founder, Mesh Creative Studios
“Biggest learning: the review forced me to stop claiming things I hadn’t proven yet.”
Campaign engine
Certified on your build and its defense in the community, not attendance.
You post your build in the community and defend it there: reviewers ask questions, you answer them. Along the way, your builds get reviewed like this one, by Diane Wiredu.
How the sprint works
Read more about dates and enrollmentShow less
- Workshops on Tuesday 10, Wednesday 11 and Thursday 12 November 2026, 3 PM UTC
- The week before. On-demand prep and your AI workspace setup, with technical assistance from the CXL team
- One group, start to finish. You build on your own company’s data, or on a sample company if you can’t use it
Read more about your weekShow less
- 90 minutes. The live session: a guest builder or a CXL instructor opens that day’s layer
- In between. You build that day’s layer on your own system
- No hand-coding. You describe what you want, AI writes the code and the SQL, you check the result
Read more about how support worksShow less
- The community is always open and we are in it with you, so a stuck build gets unstuck instead of abandoned
- Technical assistance from the CXL team covers setup support and code review
- Guest builders and experts help us design, review and build these systems
- Every session is recorded, so a missed workshop is a delayed one, not a lost one
Everything included
- Day 1. Marketing Brain: the context layer every later workflow reads.
- Day 2. Campaign engine: one brief in, scored drafts out.
- Day 3. Reporting agent: a number on your work, every week.
- The January cohort. Weeks 1 to 8 and certification: submit your build and defend it in the community.
- A year of access. Future cohorts, system updates, the community, 80+ courses and every minidegree.
A year of CXL for $1,199
25% off the usual $1,599.
- The November sprint
- The January cohort and certification
- Every future cohort in your year
- The community, 80+ on-demand courses and every minidegree
Black Friday offer: 25% off, already applied. A year of CXL, November sprint and January cohort included.
Is your company paying? Send this to your manager.
Your system runs on the company’s tools and stays with the company.
Copy this to your manager
Subject: CXL Marketing Engineer certification
I would like to take CXL's Marketing Engineer certification. It starts with a live sprint on 10 to 12 November, an average of 1 hour a day for 2 weeks with prep the week before, and includes the 8-week January cohort. I would build one marketing system on our own CRM, GA4 and ad accounts that runs unattended for 14 days, and be certified on the build and its defense in the community, not attendance. Everything I build stays with the company. It is $1,199 until 10 January, 25% off, and includes a year of cohorts, system updates, the community and 80+ on-demand courses. Details: https://cxl.com/institute/ai-native-marketer/
Proof beats the CV.
Certified on what runs, not on attendance.
Black Friday offer: 25% off, already applied. A year of CXL, November sprint and January cohort included.
Who leads and reviews the builds
Hesh leads the live sessions. Peep Laja helped design the program and reviews builds. Diane Wiredu, Tyler Durman, Nick Christensen and Ann Smarty designed or review the builds. Guest builders join as each workshop opens.
4x’d efficiency & leads CXL’s growth, experimentation & product. Trained 25k+ marketers with 80+ courses, 4000+ blogs & playbooks.
Leading voice on positioning and messaging: why B2B buyers pick one company over another. Made his name in conversion optimization, where he created the ResearchXL and PXL frameworks. Three times founder with the scars to prove it.
Built messaging systems for 64+ clients, helped Dash double MRR in 6 months, and increased AMI’s qualified leads by 70%.
Fractional Head of Growth for B2B SaaS from Seed to Series C; at data.world, beat his MQL goals eight quarters in a row.
Scaled AppSumo’s paid growth engine from $7M to $90M. Helps you fix tracking, lower CAC, and grow paid acquisition.
FAQ
When does it start, and how much time does it take?
The sprint runs Tuesday 10 to Thursday 12 November 2026: three 90-minute live workshops at 3 PM UTC. Plan on an average of 1 hour a day for 2 weeks: prep the week before, then the workshops and building in between. The January cohort, included in your year of access, starts in January 2027 and runs 8 weeks.
Who is it for?
Marketers with at least 2 years in ops, growth, demand gen or content who want to build what marketing engineer roles ask for, in their current job or the next one.
Do I need to code?
No hand-coding. You describe what you want, AI writes the code and the SQL, and you check the result. Checking is a skill the program teaches, from schema-validated output in week 3 to sanity-checking AI-generated numbers in week 6.
Come with a working laptop and admin rights on the tools you want to connect. You build on your own data, over MCP connections, the standard way AI tools connect to other software. You decide what gets connected and what does not.
What do I build?
In the sprint, layers 1 to 3: a Marketing Brain, a campaign engine and a reporting agent. The January cohort completes the system, a layer a week: a context repo, n8n workflows, LLM steps with evals, and a capstone in one of three tracks. Campaigns goes from brief to reviewed campaign. Content goes from brief to checked draft. AI visibility tracks how ChatGPT, Gemini and Perplexity answer about you, and fixes what they get wrong. On top of it you build a deployed app, a reporting layer and personalization for 50+ target accounts.
How do I get certified?
Certification comes at the end of the January cohort. You pass on seven criteria. It runs unattended for 14+ consecutive days, with 90%+ of runs successful. Its output meets the eval threshold you set in week 1. The result is measured honestly against your baseline. The app and the personalization batch both work. An approval step and a cost cap are set. An assessor can run it from your README. And you defend it in the community, answering the reviewers’ questions.
Show measured improvement over your baseline and you earn the credential with distinction. One resubmission is allowed within 30 days.
What is the defense?
You post your build in the community with a short readout of what your system does and what it moved. Reviewers ask questions in the thread and you answer them. It is the closest thing to a hiring manager asking you to walk them through your work.
How do I prove a system like this is worth it?
A marketer on Reddit asked it directly: “revenue metrics? Calls booked?” The reporting agent on day 3, then week 6 of the January cohort, answer it on your own data: baseline against now, tied to pipeline or hours saved, written up by a weekly report agent. That number headlines your certification.
Is a marketing engineer just marketing ops with a new name?
There is overlap, and the best ops people already work this way. The difference is what you can show: a system you built, running on your own customers and channels, that you can demo and fix. That is what marketing engineer job ads screen for, whatever the title on your CV.
Can I use my company’s data?
Yes, that is the default. You build on your own customers and channels, over connections you control. If you cannot use company data, a sample company dataset is ready for you.
Does the sprint count toward the certification?
Yes. The sprint builds three layers of this system: the Marketing Brain (week 1), the campaign engine (week 4, campaigns track) and the reporting agent (week 6). You start the January cohort with them already built.
What does it cost?
$1,199 until 10 January, 25% off the usual $1,599. It includes this sprint, the January cohort and future cohorts, every update to the systems, a year in the community, and 80+ on-demand courses and every minidegree on the marketing behind the systems.
How is this different from other marketing engineer courses?
Most teach one vendor’s tool and certify attendance. This one is vendor-neutral, 8 weeks deep, and graded on a system that runs in production, defended in the community.
How is this different from asking ChatGPT?
ChatGPT answers questions. Here you build a system: one that runs on your own customers and channels, that an assessor checks, and that you defend in the community before it counts. ChatGPT will help you do a task faster. It will not run your workflow unattended for 14 days, or check that its output can be trusted at scale.
Can my company pay for it?
Yes. Use the email on this page to send your manager the details. Everything you build runs on the company’s tools and stays with the company.
About CXL
What is CXL?
CXL is a B2B marketing training company focused on AI and conversion optimization. Marketers learn by building real work with live guidance from practitioners.
Does CXL offer AI training for B2B marketers?
Yes. AI for B2B marketing is CXL’s main focus: building AI workflows and agents for research, content, campaigns and reporting, plus visibility in AI search.
Where can I learn conversion optimization?
CXL has trained marketers in conversion optimization and experimentation for over a decade, covering customer research, A/B testing, landing pages and testing statistics.