Jobs / United States / Ebay INC
Director, Agentic Shopping
Ebay INC · 🇺🇸 San Jose
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 478 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 314 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Ebay INC paid sponsored hires in similar roles1 certified filing for “Director, Talent Management” (Human Resources Managers) in CA: $260k–$260k, median $260k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Ebay INC
The US Department of Labor certified 478 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 314 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Ebay INC →
About the role
At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re 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. We're 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. About the team and the role: Join us as the Director, Agentic Shopping, and lead the charge in transforming the future of ecommerce! This role is pivotal in crafting intelligent shopping experiences that help customers discover, evaluate, and make confident decisions through AI-powered interactions. Located in San Jose, you will collaborate closely with product, design, and cross-functional executives to define strategy, drive execution, and build world-class shopping experiences. What you will accomplish: • Define and drive the applied research strategy for agentic shopping and conversational search at eBay • Lead teams developing core capabilities such as shopping intent understanding, conversational retrieval, response generation, multi-turn refinement, ranking optimization, and evaluation • Partner with product and engineering leaders to turn emerging AI capabilities into customer-facing experiences with clear business value • Build systems that improve how buyers explore inventory, compare options, refine intent, and complete high-confidence shopping decisions • Establish robust experimentation and measurement frameworks for conversational quality, relevance, customer happiness, and downstream marketplace outcomes • Guide architecture and technical tradeoffs across model choice, latency, reliability, cost, and trustworthiness in production systems • Help define the operating model for scaling new conversational and agentic experiences from pilot programs into durable platform capabilities • Develop a high-performing team culture grounded in technical excellence, inclusive leadership, and strong execution Leadership Proficiencies and Operating Principles: • Customer-centric approach. You treat relevance and discovery as customer problems first, building systems that better understand intent and improve quality continuously. • Platform thinking and leverage. You build reusable capabilities, infrastructure, and APIs that enable multiple teams to build on shared foundations rather than reinventing solutions independently. • Data-informed execution at scale. You operate with rigor across the full lifecycle from hypothesis and offline validation through experimentation, rollout, monitoring, and iteration. • Multi-year strategy with pragmatic sequencing. You can place thoughtful long-term bets while delivering near-term outcomes and maintaining operational excellence. • Leader-of-leaders capability. You build organizations intentionally, develop senior talent, compose clarity in ambiguity, and scale culture across teams and geographies. What you will bring: • 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. You have led senior individual contributors and/or managers in complex organizations. • Demonstrated success delivering AI- or ML-powered customer experiences at scale. • Deep expertise in at least two of the following areas: • C