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AI Program Manager
Trafilea ยท Remote
About The Role
About Trafilea
Trafilea is a Consumer Tech Platform for Transformative Brand Growth. Weโre 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
- Weโre a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.
- ๐ We build and scale our own brands.
- ๐ฆพ We invest in AI and automation like few others in eCom.
- ๐ We test fast, grow fast, and help you do the same.
- ๐ค Be part of a dynamic, diverse, and talented global team.
- ๐ 100% 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.
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