Later
AI Automation Co-op (Spring 2027)
Vancouver, British Columbia, Canada. Posted 4 months ago
The role
You will replace manual, repetitive work with AI-powered tooling across various departments. You will build automations using AI-native platforms, APIs, and no-code tools to solve workflow problems.
What you will do
- Shadow and interview non-technical stakeholders to understand workflows
- Identify repetitive, manual tasks for automation
- Translate workflow problems into technical solutions
- Build working automations and internal tools using AI-native platforms, APIs, and no-code/low-code tools
- Ship v1 prototypes quickly
- Wire together LLMs, agents, and prompt design patterns with existing systems
- Write clear documentation for automations
- Contribute to error handling and basic monitoring
- Maintain a library of reusable templates, prompt patterns, and integration examples
- Support working sessions and training for non-technical colleagues
Required qualifications
- 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)
- Strong written and verbal communication skills
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
Before you apply
- Co-op team members, independent contractors, and freelancers are not eligible for company benefits
About the company
Later is an influencer marketing company that uses a native, AI-powered platform and proprietary data to help brands manage campaigns. The company provides tools to help teams understand influencer-driven results across awareness, engagement, and revenue.