AI Automation Co-op (Fall 2026)

Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. We're looking for an AI Automation Engineer 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.

Responsibilities

Shadow and interview non-technical stakeholders across Operations, Finance, Marketing, and Customer Success to understand their day-to-day workflows; Help identify repetitive, manual tasks that are strong candidates for automation; Contribute to translating fuzzy workflow problems into clear, scoped technical solutions; Build working automations and internal tools using AI-native platforms, APIs, and no-code and low-code tools; Ship v1 prototypes quickly so stakeholders can validate value before investment grows; Wire together LLMs, agents, and prompt design patterns with existing systems to deliver real workflow outcomes; Iterate on automations based on stakeholder feedback and real-world use; Write clear documentation so automations can run unattended and teammates can understand what was built; Contribute to error handling and basic monitoring so automations recover gracefully; Help maintain a library of reusable templates, prompt patterns, and integration examples; Support working sessions and lightweight training that helps non-technical colleagues understand and use the automations you build; Collaborate with engineers, operations teammates, and other stakeholders to deliver solutions that work in practice.

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.

Nice to have

Familiarity with APIs, scripting, or automation tools (Zapier, Make, n8n, or similar); Any experience with data: pulling it, cleaning it, and reasoning about what it means.