Director, Agentic Shopping

eBay

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Jose, CA
Salary
$240,800–$321,500 / yr
Posted
58 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $240k
This role $281k
$183k $336k
below market most similar roles pay here above market

This role pays more than 80% of similar roles. Most pay $210,000–$270,318 — the blue band above. At the midpoint, this role pays about $281k versus about $240k for comparable roles.

Based on 240 similar postings.

Employer

About eBay

eBay is a global e-commerce company that operates an online marketplace connecting buyers and sellers for a wide range of new and used goods.

eBay currently has 46 open roles on FindRole.

Listed pay typically runs $160,800–$228,600 across 45 roles with salary data.

Most-posted roles

View all roles at eBay

At a glance

TL;DR · Director, Agentic Shopping

As the Director, Agentic Shopping, you will lead a team focused on transforming ecommerce through intelligent, AI-powered shopping experiences. You will define the applied research strategy for agentic shopping and conversational search, overseeing the development of core capabilities like shopping intent understanding, conversational retrieval, response generation, ranking optimization, and multi-turn refinement. Your daily work involves partnering with product and engineering leaders to turn emerging AI capabilities into customer-facing experiences that improve how buyers explore inventory and make high-confidence decisions. You will utilize expertise in NLP, information retrieval, recommendation systems, and ML platform engineering to guide architecture and technical tradeoffs regarding latency, reliability, and cost. This role solves the complex problem of making online discovery more natural and efficient through scalable, durable platform capabilities.

What you'll do

  • Define and drive the applied research strategy for agentic shopping and conversational search.
  • Lead teams developing capabilities for intent understanding, conversational retrieval, response generation, and ranking optimization.
  • Partner with product and engineering leaders to turn AI capabilities into customer-facing experiences.
  • Build systems that improve how buyers explore inventory, compare options, and make shopping decisions.
  • Establish experimentation and measurement frameworks for conversational quality, relevance, and marketplace outcomes.
  • Guide architecture and technical tradeoffs regarding model choice, latency, reliability, cost, and trustworthiness.
  • Define the operating model for scaling conversational and agentic experiences from pilots to platform capabilities.
  • Develop a high-performing team culture grounded in technical excellence and inclusive leadership.

What we're looking 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.
  • Demonstrated success delivering AI- or ML-powered customer experiences at scale.
  • Deep expertise in at least two areas including conversational search, NLP, recommendation systems, or ML platform engineering.
  • Strong technical credibility to direct architecture and assess tradeoffs in high-scale production environments.
  • Excellent executive communication and cross-functional leadership skills.
  • Advanced academic degree (MS or PhD) in a related specialty (preferred).
  • Experience shipping conversational AI, assistant, or agentic product experiences in consumer technology or ecommerce (preferred).

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