About Team and role

Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join – a company you can be proud to be a part of.

The Product Knowledge and Query Science team is responsible for creating a product catalog for its huge inventory, while ensuring that this inventory is shown to our buyers in a relevant and efficient way. The team combines top talent in the fields of Engineering, Science, ML and Operational efficiency.

You’ll be embedded in the Product Knowledge org, shaping how we structure and optimize taxonomy, ontology, and catalog data for next-gen search, recommendations, and AI-driven experiences.

This is a high-agency, startup-style role—if you thrive in fast-moving, product-focused environments and love working closely with AI/ML, Product, and Engineering teams, this is for you.

What Will You Do?

You will be part of the Tagging & Editorial Data Operations team, which supports our science teams with high-quality human judgment tagging of dataset. You will be responsible for creating training data for AI models, measuring metrics and performing editorial actions on the data supporting some of its most innovative experiences. The ideal candidate will have a strong sense of ownership, technical expertise, and a deep understanding of data quality.

What you will accomplish:

• Manage the activities and deliveries of teams of data tagging experts
• Collaborate with Science & Product teams to formulate guidelines for human judgement work
• Be responsible for a large number of run-the-business requests coming from multiplier channels in a global matrix organization
• Leverage LLMs for data labeling Solutions – Use prompt engineering techniques to create AI-driven approaches for taxonomy validation, data enrichment, and classification.
• Evaluate & Improve AI/ML Models – Develop systematic evaluation frameworks for product knowledge models, embeddings, and semantic search solutions.
• Integrate with AI/ML Teams – Work closely with data scientists and engineers to test and refine AI-based classification, search ranking, and recommendation models.

What you will bring:

• BA or BS degree
• 2+ Years of proven experience in program management or operations, particularly within e-commerce or other data-driven environments.
• Solid organizational skills with the ability to manage multiple projects simultaneously.
• Strong analytical skills with the ability to interpret data
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders.
• Ability to adapt quickly to changes and drive continuous improvement initiatives.
• Experience in developing and implementing operational strategies to enhance efficiency and effectiveness
• Product Analytics Attitude – Familiarity with eCommerce search, recommendations, and knowledge graph applications
• Strong Communication – Ability to turn complex findings into actionable recommendations for Product, AI, and Engineering teams.
• AI/LLM Experience – Hands-on experience with LLMs, prompt engineering
• Startup DNA – High agency, thrive in fast-paced, iterative environments with deep cross-functional collaboration.

Why Join Us?

• Build the AI-powered future of eCommerce product discovery.
• Move fast & own impactful projects in a startup-like, high-agency culture.
• Work directly with AI, Data Science, and Product teams to shape taxonomy & ontology strategies.
• Get hands-on with AI/ML in a real-world, high-scale environment.