AI Automation Lead
Trafilea
| Company | Trafilea |
| Category | Data & Analytics |
| Location | Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| First seen | 23 Jul 2026 (the employer did not state a posting date) |
| Last verified | 10 Aug 2026 |
| Source | Employer ATS (recruitee) |
Description
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 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 5+ years leading high-performance tech teams in dynamic environments Strong experience in AI/ML systems (LLMs, APIs, automation workflows, MLOps) Proven ability to design scalable architectures and distributed systems Hands-on experience with tools such as LangChain, AWS, FastAPI, Node.js or similar Strong systems thinking and ability to connect technology with business outcomes Data-driven mindset with experience defining and tracking KPIs and performance metrics Comfortable operating in ambiguity and fast-changing environments Excellent communicator, able to translate complex AI concepts into business value Strong ownership, prioritization (20/80), and execution skills