AI Automation Lead

About this role

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