Attentive→
AI Intern at Attentive in New York, NY
InternshipHybridFull-timeNew York, NY$52k–$52k/yr
Skills
ai experiencepythonjavascriptapi usageno-code toolslow-code toolsmarketing automation workflowsagent-driven workflowsbuilder mindsetai curiositycomfort with ambiguity
Job Description
Summary: Attentive is an AI marketing platform focused on 1:1 personalization, redefining how brands connect with consumers. They are seeking an AI Intern to join their Strategy Team, where the intern will prototype solutions, build automation workflows, and contribute to innovative AI initiatives.
Responsibilities:
- Build marketing automation workflows using AI coding tool
- Prototype solutions quickly to turn ideas into working demos in days, not weeks
- Help design and test agent-driven workflows (prompt chains, feedback loops, automation pipelines)
- Iterate on existing systems by improving reliability, outputs, and performance
- Translate marketing problems into structured prompts, workflows, or lightweight code
- Document what works and contribute to reusable patterns and playbooks
Required Qualifications:
- Builder mindset. You like making things. When you see a problem, your instinct is to build a solution and not just talk about it
- AI Curiosity. You wake up every day trying to learn more about how agents work and the limits of what they can do
- AI experience. You use Claude Code, Codex, Cursor, and the like to build something that has seen the light of day (projects, scripts, automations, etc.)
- Technical foundation. You are comfortable with the following: Writing simple scripts (Python, JavaScript, etc.), Working with APIs or structured data, Using no-code / low-code tools to automate workflows
- Comfort with ambiguity (with support). You're okay starting with an unclear problem as long as you have guidance and collaboration along the way
Required Skills: AI experience, Python, JavaScript, API usage, No-code tools, Low-code tools, Marketing automation workflows, Agent-driven workflows, Builder mindset, AI Curiosity, Comfort with ambiguity