Jobs
Required Skills
Product Management
Team Leadership
Strategic Planning
Data Strategy
Cross-functional Collaboration
Taxonomy Design
At e Bay, 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.
Director – Product Management, Product Knowledge Build the Data-Powered, AI-Driven Future of Product Discovery About the Role
We’re on a mission to redefine how people discover, explore, and connect with products online—and we need a visionary product leader to take us there.
As Director of Product Management, you’ll lead the strategy and execution for our Product Knowledge and Catalog Platform—the intelligence layer that powers everything from search and recommendations to personalization and generative AI. You’ll shape how structured data, AI/ML, and LLMs come together to build scalable, magical, and deeply relevant customer experiences at massive scale.
You’ll work at the heart of a high-performing, cross-functional team—collaborating with AI researchers, data scientists, and engineers to build the foundational data products that power discovery for millions of users.
This is a rare opportunity to lead in a high-agency, startup-style environment with the resources and reach of a global platform.
What You’ll Own
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Catalog Intelligence at Scale
Lead the development of robust, intelligent, and flexible catalog systems. Create automated, scalable ways to structure, enrich, and normalize product data across categories and geographies. -
Vision for Product Knowledge
Define and own the product vision for taxonomy, ontology, metadata, and knowledge graphs that power our search and AI platforms. -
Build Magical Data Products
Launch internal tools and APIs that feel like magic—powerful, intuitive, and built with scale and automation in mind. Make structured data work harder and smarter across all surfaces. -
Power Discovery Through AI & LLMs
Partner with AI and data science teams to use LLMs, embeddings, and prompt engineering for entity resolution, classification, and content enrichment—fueling delightful discovery. -
Design for Relevance & Impact
Focus relentlessly on customer experience—ensuring your products make search more relevant, recommendations smarter, and exploration more intuitive. -
Drive Product Excellence
Define metrics, establish feedback loops, and iterate quickly. Marry technical depth with customer empathy to shape products that solve real problems beautifully. -
Collaborate to Deliver
Partner across Product, Engineering, AI/ML, Trust, and Catalog Ops to launch products that are both deeply technical and profoundly user-centered.
What We’re Looking For
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12 years of product management experience, with5 years leading teams in platform, data, or AI-driven environments
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Proven track record building structured data platforms, knowledge systems, or e Commerce catalog infrastructure
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Strong understanding of taxonomy, metadata strategy, and product classification
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Experience working with AI/ML teams, including familiarity with LLMs and semantic search (a plus)
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A bias for scalable solutions—you know how to build for today and architect for tomorrow
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Obsession with relevance, automation, and magic—you craft products that delight both internal and external users
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Strong communicator with a track record of cross-functional leadership and influence
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Comfort working in fast-paced, iterative environments—you thrive in ambiguity and move with urgency
Why You’ll Love This Role
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Build the backbone of product discovery for one of the world’s largest e Commerce platforms
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Lead a portfolio that touches AI, structured data, and real-time customer experience
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Create scalable systems that drive magical user experiences at global scale
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Work with world-class teams in AI/ML, data science, and engineering
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Enjoy high ownership, fast execution, and a culture that values bold ideas and real impact
Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talentebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
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About eBay

eBay
PublicBuy, sell, and discover.
10,001+
Employees
San Jose
Headquarters
Reviews
3.8
5 reviews
Work Life Balance
4.2
Compensation
2.5
Culture
4.0
Career
2.8
Management
3.5
Pros
Good work-life balance
Great culture and environment
Nice colleagues and supportive people
Cons
Limited opportunities for growth
Old technology and systems
Call quotas and difficult customers
Salary Ranges
2,741 data points
Junior/L3
Senior/L5
Junior/L3 · Product Manager
260 reports
$206,932
total / year
Base
$150,529
Stock
$36,440
Bonus
$19,962
$146,129
$303,004
Interview Experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Online Assessment (CodeSignal)
3
Technical Phone Screen
4
Technical Interview Rounds
5
Final Review
Common Questions
Coding/Algorithm
Technical Knowledge
Problem Solving
Data Structures
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