Marketing AI Intern

Azul Systems, Inc.; Northern (KY); Hybrid; USD 28,000 - 34,000; Full time

Benefits offered by this job

Comprehensive compensation and health"

Referral Program

Remote-first, PTO, holidays

Job summary

Azul Systems, Inc. seeks a Marketing AI Intern to help the marketing team accelerate with AI. You’ll build custom AI agents, automate workflows, and create internal tools. Remote role across the United States, 4-month, full-time contract, reporting to the Sr. Director, Marketing Operations.

You will ship useful AI features weekly, learn to integrate with Marketo/Salesforce, and collaborate with marketing professionals to improve processes. Strong technical curiosity is essential.

Qualifications

• : Pursuing or recently completed degree in computer science, engineering, data science, or a similarly technical field — or able to show equivalent self-taught technical ability
• : Hands-on curiosity with LLMs like Claude, GPT, or Gemini — you’ve pushed past casual chatbot use and actually tried to build something with them
• : Show us something you’ve built: a script, a bot, an automation, a class project, a weekend hack. It doesn’t need to be professional or polished — it needs to be yours, and you need to be able to walk us through it.
• : Comfort reading and writing code (Python, JavaScript, or similar) and working your way through APIs and technical documentation
• : A go-getter mindset — you chase down answers, ask questions early, and don’t wait to be told what to do next
• : Willingness to learn fast in a space that changes month to month, and comfort being the person who figures it out
• : Clear communicator who can explain technical concepts to non-technical marketing stakeholders without condescension
• : Genuine interest in marketing and how a go-to-market team operates — prior marketing experience is not required

Responsibilities

• Build AI agents and agentic workflows for marketing roles.
• Learn and wire AI into Martech stack using Zapier, MCP connectors, and LLM integrations.
• Develop MCP connectors across marketing apps and secure access to systems.
• Create a shared library of prompts and brand voice guardrails.
• Deliver backlog items weekly with focus on usefulness.
• Host office hours and help teammates adopt new tools.
• Document learnings for the team and share what works.
• Evaluate AI tools with security and integration considerations.
• Stretch projects like RAG or multi-modal AI if time allows.

Skills

LLMs experience

Python

JavaScript

Communication

Education

Pursuing or recently completed CS/Engineering/Data Science degree

Tools

Claude/OpenAI GPTs

Job description

As our Marketing AI Intern, you’ll help the marketing team work faster and smarter with AI. You’ll sit with the team and build the things that remove busywork — custom AI agents, automated workflows, and small internal tools. You don’t need to have done this job before. You need to be technical enough to pick it up quickly, and driven enough to keep going when the documentation runs out. We’ll teach you the marketing side. You will report to the Sr. Director, Marketing Operations.

This is a 4-month, full-time, contract role. You’ll be embedded with the marketing team from day one, working through a real backlog of AI projects on a daily cadence. This is a build role, not a shadowing role — expect to ship things people actually use.

This is a remote role that can be based anywhere in the US.

What You’ll Do (aka Responsibilities)

Build AI Agents Build and improve custom AI agents and agentic workflows (using Claude, OpenAI GPTs, and similar platforms) that help specific marketing roles — field marketing, content, digital marketing, and marketing operations. You’ll collect feedback from the team and keep iterating.

Workflow Automation Learn tools like Zapier, MCP connectors, and LLM integrations, then use them to wire AI into our existing martech stack (Marketo, Salesforce, 6sense, and more), replacing manual steps with automated ones.

MCP Connectors Help build and maintain Model Context Protocol (MCP) connectors across our marketing applications. MCP is how we give AI tools secure, structured access to our systems — we’ll teach you how it works, and you’ll own pieces of it as you ramp.

Prompt Engineering Help build a shared library of prompts, skills, and brand voice frameworks so AI output stays consistent across the team, and help document the guardrails for how we use these tools.

Backlog Delivery Work through projects from marketing’s AI backlog and ship something useful most weeks. Momentum and follow-through matter more here than polish.

Enablement & Office Hours Help run office hours and walk teammates through new tools. A lot of the value in this role comes from sitting next to someone and unblocking them.

Sharing What Works Document and share what you learn — what worked, what didn’t, and what’s worth trying next — so the whole team gets better, not just you.

Tool Evaluation Explore and evaluate AI tools and give an honest read on whether they’re worth adopting, keeping our data security and integration standards in mind.

Stretch Projects If you’re moving fast, there’s room to go deeper — Retrieval-Augmented Generation (RAG), multi-modal AI, or more ambitious agent designs. (Nice to have, not expected.)

What You'll Bring (aka Education, Experience, Skills)

• Pursuing or recently completed a degree in computer science, engineering, data science, or a similarly technical field — or able to show equivalent self-taught technical ability
• Hands-on curiosity with LLMs like Claude, GPT, or Gemini — you’ve pushed past casual chatbot use and actually tried to build something with them
• Show us something you’ve built: a script, a bot, an automation, a class project, a weekend hack. It doesn’t need to be professional or polished — it needs to be yours, and you need to be able to walk us through it.
• Comfort reading and writing code (Python, JavaScript, or similar) and working your way through APIs and technical documentation
• A go-getter mindset — you chase down answers, ask questions early, and don’t wait to be told what to do next
• Willingness to learn fast in a space that changes month to month, and comfort being the person who figures it out
• Clear communicator who can explain technical concepts to non-technical marketing stakeholders without condescension
• Genuine interest in marketing and how a go-to-market team operates — prior marketing experience is not required

Helpful but not required experience:

• Exposure to automation platforms (Zapier, n8n, or similar) or MarTech systems (CRM, marketing automation, analytics)
• Experience with multi-modal AI (image generation, video, audio synthesis) is a plus

$20 - $25 an hour

The hourly pay for this role is $20 to $25 per hour. Individual pay is determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.

What we Offer

Comprehensive compensation and healthcare packages

Referral Program

Work-life balance, remote-first, paid time off, company shutdown, holidays

Work with top experts worldwide whom contribute to the Java ecosystem

Our Culture & Values

Maniacal Customer Focus

Innovation & Excellence

Initiative & Courage

Impact & Influence

Integrity & Transparency

Diversity, Inclusion & Teamwork

Azul participates in E-Verify.

As a US employer, Azul Systems, Inc. uses E-Verify to confirm the employment eligibility of all newly hired employees working in the United States. For more information about E-Verify, please visit www.e-verify.gov.

Employment at Azul is contingent upon the completion of reference and background checks.