19 days ago
Remote, United StatesIntern
Responsibilities
- Build and improve custom AI agents and agentic workflows for field marketing, content, digital marketing, and marketing operations.
- Automate marketing workflows by integrating AI with the existing martech stack.
- Build and maintain Model Context Protocol connectors across marketing applications.
- Develop shared prompt, skills, brand voice, and AI usage guardrail documentation.
- Deliver projects from the marketing AI backlog and ship useful solutions regularly.
- Run office hours and help marketing teammates adopt and use new tools.
- Document lessons learned and share effective approaches across the team.
- Evaluate AI tools for adoption while considering data security and integration standards.
- Potentially explore Retrieval-Augmented Generation, multimodal AI, and more advanced agent designs.
Requirements
- Pursuing or recently completed a degree in computer science, engineering, data science, or a similar technical field, or able to demonstrate equivalent self-taught technical ability.
- Hands-on experience building with LLMs such as Claude, GPT, or Gemini beyond casual chatbot use.
- A personal project such as a script, bot, automation, class project, or weekend hack that the candidate can explain.
- Comfort reading and writing Python, JavaScript, or similar code and working with APIs and technical documentation.
- Ability to learn quickly, independently investigate problems, ask questions, and operate in a rapidly changing AI environment.
- Clear communication skills for explaining technical concepts to nontechnical marketing stakeholders.
- Genuine interest in marketing and go-to-market operations; prior marketing experience is not required.
- Preferred exposure to automation platforms such as Zapier or n8n, or to CRM, marketing automation, or analytics systems.
- Experience with multimodal AI, including image generation, video, or audio synthesis, is preferred but not required.
Benefits
- Four-month, full-time contract role.
- Remote role based anywhere in the United States.
- Comprehensive compensation and healthcare packages.
- Referral program, paid time off, company shutdown, and holidays.
- Remote-first work-life balance.
- Opportunity to work with experts worldwide in the Java ecosystem.
