E-commerce Data & Catalog Specialist
About the Role
A high-impact AI data initiative is seeking professionals with strong experience in e-commerce catalog operations, product taxonomy management, and structured dataset organization. The role focuses on improving the quality and scalability of product data environments used in advanced AI training systems.
This opportunity is ideal for individuals who understand how large-scale product catalogs are structured, normalized, and maintained across digital commerce platforms. Candidates with experience in merchandising operations, taxonomy design, and database-driven product ecosystems will be well aligned with the work.
The work involves managing and refining product datasets, building realistic shopping and browsing structures, and supporting AI-focused data modeling initiatives where accuracy, consistency, and scalable organization are critical.
What You'll Do
- Manage and maintain large-scale e-commerce product catalogs across structured data environments
- Develop and refine product taxonomy frameworks for accurate categorization and discoverability
- Normalize, map, and validate product data from multiple data sources and systems
- Design realistic shopping and merchandising scenarios aligned with consumer behavior patterns
- Collaborate with technical and data teams to support scalable AI training workflows
- Maintain high standards for data integrity, consistency, and metadata quality across SQL and NoSQL systems
- Document taxonomy structures, workflows, and dataset standards clearly and accurately
- Support structured dataset modeling initiatives for AI-driven commerce environments
Requirements
- xperience in product catalog management and e-commerce merchandising operations
- Strong understanding of SQL and NoSQL database concepts and structured data environments
- Knowledge of product taxonomy design, categorization frameworks, and normalization methods
- Experience managing large-scale structured datasets and complex product catalogs
- Ability to model product relationships, attributes, and metadata structures effectively
- Strong written and verbal communication skills for technical documentation and collaboration
- High attention to detail with the ability to maintain data accuracy at scale
- Ability to work effectively within cross-functional and remote project environments
- Experience creating data-driven shopping experiences or simulated consumer journeys
- Preferred experience with AI training, machine learning datasets, or data annotation workflows
- Familiarity with scalable catalog schema design for online marketplace ecosystems
- Experience using AI-assisted productivity tools such as ChatGPT or similar platforms is advantageous