AI Automation Lead

About Trafilea

Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands.

With over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands.

We own and operate our own digitally native brands (not an agency), with presence in Walmart, Nordstrom, and Amazon, and a strong global D2C footprint.

Why Trafilea

We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.

🚀 We build and scale our own brands.

🦾 We invest in AI and automation like few others in eCom.

📈 We test fast, grow fast, and help you do the same.

🤝 Be part of a dynamic, diverse, and talented global team.

🌍 100% Remote, USD competitive salary, paid time off, and more.

Job Responsibilities

At Trafilea, AI isn’t a side project. We’re building the AI Growth Engine that powers the next generation of consumer brands .

We’re looking for an AI & Automation Lead to own the roadmap behind that transformation—identifying the highest-leverage opportunities across the organization and turning them into scalable AI systems, agents, and automated workflows.

You’ll operate at the intersection of AI, engineering, automation, and business transformation , leading both the technical decisions and the team responsible for taking AI from opportunity to production.

• Design and execute the AI automation roadmap across the organization
• Map and redesign end-to-end processes to unlock automation opportunities
• Identify and prioritize high-impact (20/80) leverage points
• Build or orchestrate AI agents, LLM workflows, and automation systems (RAG, APIs, pipelines)
• Define governance, monitoring, and performance frameworks for AI systems
• Drive cross-functional adoption across Product, Marketing, Ops, and Data
• Lead technical decision-making, balancing innovation with scalability and reliability
• Establish KPIs, dashboards, and reporting systems to measure impact
• Improve workflows to accelerate time-to-production (2x speed)
• Build, mentor, and scale a high-performing AI team