Posted:
9/30/2024, 4:37:34 AM
Location(s):
California, United States ⋅ San Jose, California, United States ⋅ New York, New York, United States ⋅ New York, United States ⋅ San Francisco, California, United States
Experience Level(s):
Senior
Field(s):
AI & Machine Learning
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:
You would be joining the Buyer Experience AI team. The team is integral to crafting a personalized buyer experience on eBay. We develop groundbreaking AI/ML technologies to empower shoppers and buyers to explore what’s personal to them, and also uniquely eBay. We power personalized recommendations and Gen AI experience on Homepage, View Item Page, and beyond. Our superpowers? A global inventory of 1.5 billion uniquely listed items that can’t be found anywhere else, and an outstanding machine learning and AI team with a track record of innovation. Through smarter recommendations, our team has powered over $1 billion of new business over the last few years, and we’re not stopping there.
We are looking for an expert Senior AI/ML Product Manager to elevate our personalization capabilities to drive engagement, conversion, and encourage customers around the world. As the product leader on this team, you will have a huge impact on the future of machine learning and recommender systems at eBay. You will develop and drive a comprehensive strategy for recommendation algorithms and applications that impacts every user touchpoint across the platform, from delivering personalized shopping experiences on Homepage, to encouraging customers to discover what they may love through feed and video recommendations. No matter what, you’ll be pushing the frontiers of what’s possible, and have a direct impact on eBay’s growth and bottom line.
What you will accomplish:
Be an encouraging leader that helps millions of customers around the globe find the right items from billions of inventories, and craft the future of how customers shop on eBay
Craft and communicate comprehensive product vision, strategies, roadmaps, and aligning with eBay’s core values and strategic goals
Influence senior leaders across eBay by proactively communicating your vision, roadmap, and impact
Lead and partner with global cross-functional teams, including applied researchers, engineers, data analysts, designers, and other product managers, to implement and iterate on your vision
Identify new opportunities to elevate product performance, improve buyer experience, and drive customer happiness
What you will bring:
7+ years of product management or related proven experience
Consistent record of effectively launching products demonstrating machine learning solutions that impacts consumer experiences on large-scale ecommerce, social media, or other marketplace platforms
Strong analytical skills with experience defining metrics for your product areas, running A/B tests at scale and dissecting test performance to advise product decisions and roadmap
Understanding of machine learning concepts and AI technologies, as well as experience in product discovery and feature development for personalized consumer experiences
Comfort operating in global environments across cultures, locations, and time zones
Experience working on recommendation systems, personalization, or other algorithmically driven consumer experiences at scale
Technical competence in deep learning and large language models / Gen AI
Bachelor's degree or equivalent experience in Computer Science, Mathematics, Information Systems, or related fields
The pay range for this position at commencement of employment in California, Washington, or New York is expected in the range below.
$149,200 - $234,850Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
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 [email protected]. 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.
Jobs posted with location as "Remote - United States (Excludes: HI, NM)" excludes residents of Hawaii and New Mexico.
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Website: https://www.ebay.com/
Headquarter Location: San Jose, California, United States
Employee Count: 10001+
Year Founded: 1995
IPO Status: Public
Last Funding Type: Post-IPO Debt
Industries: Auctions ⋅ E-Commerce ⋅ Internet ⋅ Marketplace ⋅ Retail