Role Overview
We’re looking for an AI Automation Co-op to embed with teams across Later and help replace manual, repetitive work with AI-powered tooling. This is a hands-on role at the intersection of building and learning: you’ll contribute directly to automations that create real business impact across Operations, Finance, Marketing, Customer Success, and beyond while being supported and coached throughout.
What You Will Do
You’ll work closely with Later’s AI Automation team and get direct exposure to how AI tools, APIs, and no-code platforms come together to solve real workflow problems across Later’s three lines of business (Later Influence, Later Social, and Later Creator).
Why It Might Be a Fit
If you’re curious about applied AI, love tinkering with new tools, and want to leave a term with a portfolio of things you actually shipped, this is the role for you.
Requirements
- Currently enrolled in a Computer Science, Software Engineering, Data Science, or related program, or equivalent practical experience.
- Some experience building with code (Python, JavaScript, C# or similar) and comfort picking up new tools quickly.
- Curiosity about AI and automation: you’ve experimented with LLMs, prompt design, or no-code tools and want to go deeper.
- A bias toward action: you’d rather ship something imperfect and learn from it than wait for a perfect plan.
- Strong written and verbal communication skills, you can explain a technical idea to someone who doesn’t code.
- Comfort with ambiguity: you can make progress on a loosely defined problem without needing every detail up front.
- Familiarity with APIs, scripting, or automation tools (Zapier, Make, n8n, or similar) is a bonus.
- Any experience with data: pulling it, cleaning it, and reasoning about what it means, is a plus.
Benefits
- Salary Range: $4,000 per month
To apply for this job please visit job-boards.greenhouse.io.
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