About the job
About Trafilea
Trafilea is an innovative Consumer Tech Platform dedicated to driving transformative growth for brands. We are developing an advanced AI Growth Engine, powering the evolution of consumer brands for the future.
Having achieved over $1 billion in cumulative revenue, with more than 12 million customers and a diverse team of over 500 professionals spread across 19 countries, we integrate cutting-edge technology, growth marketing, and operational excellence to elevate purpose-driven, digitally native brands.
Unlike an agency, we own and operate our own digitally native brands, recognized and accessible through major retailers like Walmart, Nordstrom, and Amazon, complemented by a robust global direct-to-consumer presence.
Why Join Trafilea?
We are a tech-driven eCommerce group focused on scaling our own beloved DTC brands while fostering rapid growth for ambitious talent like you.
We build and scale our own brands.
We heavily invest in AI and automation, setting us apart in the eCommerce landscape.
We prioritize swift testing and rapid growth, supporting you in doing the same.
Become a valued member of a dynamic, diverse, and skilled global team.
Enjoy a fully remote work environment, competitive salary in USD, generous paid time off, and additional perks.
Key Responsibilities
Lead and execute AI projects and programs, ensuring they align with business objectives, timelines, and technical limitations.
Oversee the complete lifecycle of AI software product development, from experimentation through to production and scaling.
Define and manage project roadmaps, plans, milestones, and cross-project dependencies.
Proactively identify and manage risks specific to AI initiatives (including data, models, infrastructure, and compliance).
Coordinate efforts among cross-functional teams (including Data Science, ML Engineering, MLOps, Product, and Platform).
Ensure the structure of machine learning pipelines is sound and production-ready.
Collaborate with MLOps teams to guarantee scalability, reliability, and monitoring of models once in production.
Facilitate productive cross-team meetings and collaborative sessions.
Ensure quality delivery in accordance with PMO frameworks and governance standards.
Mandatory Requirements
Demonstrated experience managing AI projects with a focus on AI-based software products.
Hands-on expertise in structuring machine learning pipelines.
Practical knowledge of MLOps and production AI systems.
Strong track record in identifying and managing dependencies and risks across multiple projects.
Ability to effectively communicate AI and ML concepts to both technical and non-technical stakeholders.
