AI Automation Lead
Trafilea · Remote job · posted Apr 15, 2026
What this role actually asks for
Extracted by RemoteHuntMust have
- •AI automation roadmap ownership
- •Process mapping and redesign for automation
- •Building AI agents and LLM workflows
- •Cross-functional adoption leadership
- •Technical decision-making for AI systems
- •Team leadership and scaling
Tools and technologies
The full posting
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
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