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