Knowledge Management Tech Lead, eBay
Office located in Kleinmachnow, DE
Leading online marketplace
Open for applications
Leading online marketplace
1001+ employees
Open for applications
Office located in Kleinmachnow, DE
1001+ employees
Company mission
To connect people and build communities to create economic opportunity for all.
Role
Who you are
- 5+ years of experience in data-engineering, analytics, data-operations and data science roles (Tech environment preferred)
- Strong Data & Analytics Skills – Proficiency in SQL & Python for data wrangling, analytics, and automation
- Ability to deep-dive into datasets
- 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
Desirable
- AI/LLM Experience – Hands-on experience with LLMs, prompt engineering, and retrieval-augmented generation (RAG) for AI-powered insights
- Model Evaluation Know-How – Ability to define metrics and evaluation frameworks for assessing ML-driven taxonomy and classification models
- Startup DNA – High agency, thrive in fast-paced, iterative environments with deep cross-functional collaboration
What the job involves
- We’re building the future of eCommerce product discovery, and we need a data-driven, AI-savvy problem solver to help us, do it
- This is a unique role at the intersection of data analytics, AI/ML model evaluation, and prompt engineering—ideal for someone who is just as comfortable writing SQL queries and Python scripts as they are experimenting with LLMs to build analytical solutions
- 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
- Create data pipelines and platforms, which connect human curated datasets with AI models and ML pipelines
- Evaluate & Improve AI/ML Models – Develop systematic evaluation frameworks for product knowledge models, embeddings, and semantic search solutions, leveraging both LLMs and Human Judgment
- Transform legacy processes into modern, AI driven workflows
- Analyze & Optimize eCommerce Product Data – Run deep SQL & Python analyses to find opportunities in taxonomy, ontology, and structured data for search & discovery improvements
- Drive Insights & Strategy – Use data-driven storytelling to influence product and AI teams, helping shape decisions on catalog optimization, entity resolution, and knowledge graph development
- Integrate with AI/ML Teams – Work closely with data scientists and engineers to test and refine AI-based classification, search ranking, and recommendation models
- Prototype and Experiment – Move fast, test hypotheses, and build quick experiments to validate structured data strategies and AI-driven discovery improvements
- 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
Our take
Founded in 1995 as an online auction platform primarily catering to collectibles, eBay quickly emerged as a pioneer in connecting buyers and sellers in the digital realm. This early success propelled eBay to become to globally recognized leader it is today.
In the present landscape, eBay competes with industry giants like Amazon within the C2C eCommerce sector. However, eBay distinguishes itself by fostering an environment where businesses can cultivate and promote their brands on the platform, offering a tailored, community-driven experience for both sellers and buyers. By championing small businesses, eBay attracts sellers and socially conscious consumers, positioning itself in stark contrast to Amazon's corporate image.
The rising consumer interest in sustainability has presented economic opportunities for eBay, particularly as younger demographics gravitate toward purchasing pre-owned items. in response, eBay has directed its marketing efforts toward Gen Z customers and formed partnerships with cultural phenomena like Love Island, further solidifying its appeal among contemporary audiences.
Freddie
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Company benefits
- Comprehensive and competitive health and wellness program designed to meet your unique needs.
- We strive to provide programs that help support both mind and body, including quality healthcare insurance, wellness programs and preventative care.
- Stock Purchase Plans
- Retirement Savings and Pension Plans
- Stock Awards
- Life Insurance and Disability Benefits
- Credit Union Memberships
- Balancing work & life - eBay believes in providing you with the opportunity to be your best self in your professional and personal life. In addition to supporting flexible workstyles including hybrid and remote, eBay offers 4 weeks of paid sabbatical time for every 5 years of service
- Giving back to our community - We provide our employees around the globe with opportunities to have a positive impact on their local communities. Through the eBay Foundation, our company matches donations to eligible nonprofits up to $10,000 per employee per year. And our employee-led volunteer groups organize local giving and volunteering activities throughout the world
Company HQ
Greylands, San Jose, CA
Leadership
Jamie Iannone
(CEO, not founder)Studied at Princeton and Stanford University. Held executive roles at Walmart, Barnes & Noble, and The Children's Place, before becoming CEO of eBay in April 2020.
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