- 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

- 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 Mavely)

- 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 with guidance from the team

- 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 explicit 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

- Share what you learn openly, contributing to Later’s growing citizen-developer community

- By the end of your term, you have at least 2-3 automations in production with documented business impact (hours saved, error rates reduced, or cycle times shortened) across different teams

- Stakeholders can use and understand the automations you built without needing you to explain them every time, because you wrote documentation that actually works

- You’ve grown your fluency with AI-native tools, APIs, and no-code platforms and can talk clearly about the tradeoffs of different approaches

- You’ve contributed at least one reusable component, prompt template, or integration pattern to Later’s shared automation library

- You leave the term having built real things that are still running, and with a clearer sense of where you want to take your career in applied AI and automation

Benefits

- Learning & development opportunities

- Market competitive compensation

- Hybrid work environment

- Flexible paid time off
- Competitive healthcare benefits- 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

- Curiosity about AI and automation: you’ve experimented with LLMs, prompt design,



or no-code tools and want to go deeper

- Familiarity with APIs, scripting, or automation tools (Zapier, Make, n8n, or similar) is a bonus

- Some experience building with code (Python, JavaScript, C# or similar) and comfort picking up new tools quickly

- Currently enrolled in a Computer Science, Software Engineering, Data Science, or related program, or equivalent practical experience

- Strong written and verbal communication skills, you can explain a technical idea to someone who doesn’t code
- A bias toward action: you’d rather ship something imperfect and learn from it than wait for a perfect plan

- Any experience with data: pulling it, cleaning it, and reasoning about what it means, is a plus

- Comfort with ambiguity: you can make progress on a loosely defined problem without needing every detail up front

- Strategic &
- Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights

- Accountable &

- Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth

- Curious &

- Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement

- Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity

- Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear

- Collaborative &

- Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high

📌 AI Automation Engineer Co-op (Fall 2026) (Vancouver)
🏢 Later
📍 Vancouver