AI Marketing Developer

About the role

We're looking for a builder, someone who sees a problem, picks up the right tools, and ships a solution before most people finish writing the ticket.

You'll work at the intersection of AI, marketing, and frontend to helping us move faster, automate more, and eliminate manual work across multiple projects.

As a AI Marketing Developer, you will

• Building AI-powered tools, automations, and experiments that directly impact marketing results

• Turning ideas into working solutions fast: landing pages, internal tools, growth experiments, brand deployments

• Working with LLMs daily (Claude, GPT, Cursor, etc.) - prompting, iterating, shipping, not just exploring

• Unifying multiple brands into one consistent technical ecosystem (tools, flows, deployment pipelines)

• Eliminating manual work - if something is done by hand today, your job is to automate it tomorrow

• Integrating AI into real marketing workflows: content production, campaign tooling, partner platforms

Biggest challenges in this role

• Priorities change fast - often weekly, sometimes daily. There's no long-term backlog to hide behind

• You'll get business problems, not tickets. Figuring out the solution is part of the job

• Building fast without overengineering - knowing when "good enough and shipped" beats "perfect and pending"

• Working across multiple brands at different technical maturity levels

• Operating close to the CEO and other stakeholders when things move quickly and decisions happen in real time

What you'll learn

• How to build AI-powered products in a real business context - not demos, not side projects, things that generate leads and save money

• How to go from idea → shipped solution in days (we built a full partner academy platform in 3 days)

• How to use LLMs effectively to speed up every layer of your work (code, copy, research, decisions)

• How to work directly with marketing and make a measurable growth impact

• How to operate without hand-holding in a low-process, high-trust environment

• What you'll get to experiment with

• AI tools in real workflows: Cursor, Claude Code, v0, Stitch, ElevenLabs, and whatever comes out next week

• Full-stack product building - Vercel, Supabase, Next.js, AI layer on top

• Building internal tools that replace expensive SaaS platforms

• Rapid prototyping and killing your own ideas fast when they don't work