eBay
Director, Agentic Shopping
$241K–$322K
San Jose · On-site · Director · Full-time · Posted Aug 4, 2026
- Experience
- 12+ years; no alternative stated.
- Education
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or comparable hands-on experience.
- Visa sponsorship
- Remote roles are not eligible for U.S. visa sponsorship.
About the job
Leads applied research and teams building AI-powered agentic shopping and conversational search experiences that help eBay customers discover, compare, and confidently purchase products.
What you'll do
- Set research strategy and lead development of conversational search and shopping capabilities, including intent understanding, retrieval, response generation, ranking, and evaluation.
- Partner with product and engineering leaders to deliver customer-facing experiences and establish experimentation, measurement, and scale-up practices.
- Guide production architecture and technical tradeoffs, while developing teams and operating models for reusable platform capabilities.
What they ask for
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or comparable hands-on experience.
- 12+ years of experience in applied research, machine learning, search, NLP, or related technical leadership roles; experience leading senior individual contributors and/or managers.
- Demonstrated success delivering AI- or ML-powered customer experiences at scale.
- Deep expertise in at least two listed areas: conversational search/information retrieval/relevance; NLP/intent understanding/query reformulation/LLM interaction; recommendations/personalization/shopping intelligence; or ML platforms/experimentation/model serving/embedding infrastructure.
Nice to have
- Advanced degree (MS or PhD) in a related specialty, or demonstrated equivalent experience recognized within the field.
- Experience shipping conversational AI, assistant, or agentic products in consumer technology, ecommerce, or adjacent domains.
Pay
$240,800 - $321,500 (base salary)
Tools
AI, ML, NLP, LLM
AI focus
Applied research and leadership for agentic shopping and conversational search, including intent understanding, retrieval, response generation, ranking, evaluation, and customer-facing AI experiences.
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