AI Automation Co-op (Spring 2027)

🏢 Later · 📍 Vancouver, British Columbia, Canada

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Position Summary & Responsibilities

Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing’s most visible investments.

Built on a native, AI-powered platform and more than a decade of proprietary data—including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases—Later helps teams understand what will work before they launch.

By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good—they deliver results. Learn more at later.com.

About this position:

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. This role will begin in January 2027.

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). 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.

What you'll be doing:

Discovery & Problem Scoping

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 solution

🎯 Candidate Preparation Guide For Later Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Measuring deep domain expertise in social media marketing ecosystems, creator economies, and product-led growth (PLG) loops.

📋 Preparation Priorities (Key Areas to Clarify):

1. Viewing social media purely as broadcast media rather than interactive community building
2. Relying on outdated marketing playbooks that ignore current creator economy trends
3. Showing weak understanding of SaaS freemium to paid conversion funnels

✨ Recommended Role Alignment Hook:

I scale social media tech platforms by engineering product-led growth loops that turn casual creators into lifelong subscribers.

🔒 Free Candidate Preparation Access

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