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You will be updated with latest job alerts via emailAt eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass authenticity thrives bold ideas are welcome and everyone can bring their unique selves to work every day. Were in this together sustaining the future of our customers our company and our planet.
Join a team of passionate thinkers innovators and dreamers and help us connect people and build communities to create economic opportunity for all.
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 youre interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace join eBay a company you can be proud to be a part of.
The Product Knowledge and Query Science team at eBay is responsible for creating a product catalog for eBays 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.
Youll 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 roleif you thrive in fast-moving product-focused environments and love working closely with AI/ML Product and Engineering teams this is for you.
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 eBays most innovative experiences. The ideal candidate will have a strong sense of ownership technical expertise and a deep understanding of data quality.
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.
Must haves:
BA or BS degree
5 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 using SQL and Excel/Sheets
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.
Preferred Skills:
Experience in developing and implementing operational strategies to enhance efficiency and effectiveness
Product Analytics Attitude Familiarity with eCommerce search recommendations and knowledge graph applications
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.
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.
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Required Experience:
Manager
Full-Time