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.

Key Responsibilities

• Lead and deliver AI projects and programs, ensuring alignment with business goals, timelines, and technical constraints.
• Manage end-to-end AI software product development, from experimentation to production and scaling.
• Define and maintain roadmaps, project plans, milestones, and cross-project dependencies.
• Identify and proactively manage risks specific to AI initiatives (data, models, infrastructure, compliance).
• Coordinate cross-functional teams (Data Science, ML Engineering, MLOps, Product, Platform).
• Oversee the structure of machine learning pipelines and ensure production readiness.
• Partner with MLOps teams to ensure scalability, reliability, and monitoring of models in production.
• Facilitate effective cross-team ceremonies and working sessions.
• Ensure delivery quality and alignment with PMO frameworks and governance.

Mandatory Requirements

• Proven experience managing AI projects focused on AI-based software products.
• Hands-on experience in structuring machine learning pipelines.
• Practical experience working with MLOps and production AI systems.
• Strong experience in identifying and managing dependencies and risks across multiple projects.
• Ability to communicate AI and ML concepts to technical and non-technical stakeholders.

• 
  4+ years managing complex technology projects.
• 2+ years managing AI Gen projects (mandatory).
• Strong knowledge of Agile methodologies (Scrum, Kanban, SAFe).
• Solid technical background and experience working closely with engineering teams.
• Excellent communication, leadership, and problem-solving skills.
• Fluent English.