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

• 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