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