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Product Manager, Multimodal Search

  • Toronto, ON, Canada

C$110,400 - C$147,400 · Full-time

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Job details

Pay
C$110,400 - C$147,400
Job type
Full-time
Apply by
Experience
3+ years of Product Management experience
Posting language
English
Posted

Original job description

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:

The Search team is responsible for the search page that drives a large part of eBay’s core marketplace business. The Search team strives to build an experience that enables users to easily explore, find, and buy what they want at the best value through an engaging, frictionless, and trusted Search experience, helping them make confident purchase decisions.

In this role, you will be responsible to drive growth through Search. Your expertise will drive the development of AI-driven features that improve product discovery, engagement, and user experience. The ideal candidate will have a strong background in AI/ML technologies, along with a passion for applying these skills to redefine the way customers interact with our platform. This role will shape eBay’s next-generation experiences by leveraging multimodal search to deliver AI-powered customer journeys. This capability will serve to create new experiences on eBay

What you will accomplish:

  • You will lead the product strategy and roadmap for driving growth for eBay through Search

  • Be a strategic problem solver and able to synthesize data from multiple sources (including analytics, user research, marketing research, and design) to identify key customer unmet needs, key solutions that can address the needs and build product vision with search item tiles

  • You will work closely with a cross-functional team of engineering, design, analytics, product marketing, and user research to deliver these products

  • You will lead the execution of your roadmap by working with data science, engineering, and analytics teams

  • Build MVPs, iterate fast and be the champion of execution excellence

  • Conduct AB tests for launch candidates and work with analytics teams to measure the impact on success metrics

What you will bring:

  • 3+ years of Product Management experience

  • Experience with search and discovery systems, including familiarity with ranking models, search algorithms, and semantic search

  • Experience in personalization and recommender systems, ideally using real-time data

  • Strong analytic skills and ability to synthesize data from multiple sources

  • Passionate advocate for user, and has confirmed results in achieving superb user experience within tight constraints

  • Demonstrated leadership ability, self-motivated and directed, entrepreneurial ability to innovate quickly

Additional Details

The base pay range for this position is expected in the range below:

C$110,400 - C$147,400

Base 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 RRSP eligibility, 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.

This job posting relates to an existing vacancy within 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, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.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.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center and AI Hiring Guidelines.

More about this job

Responsibilities

You will lead the product strategy and roadmap for multimodal search to drive growth and improve product discovery on the eBay marketplace. You will collaborate with cross-functional teams to build, test, and iterate on AI-driven features that enhance the user experience.

Requirements

The role requires at least 7 years of product management experience with a strong background in search, discovery, and personalization systems. Candidates must possess deep expertise in AI/ML technologies and the ability to synthesize complex data to solve customer needs.

Skills

  • Product management
  • Search systems
  • Discovery systems
  • Ranking models
  • Search algorithms
  • Semantic search
  • Personalization
  • Recommender systems
  • Real-time data
  • Data analysis
  • User research
  • Product strategy
  • AI/ML technologies
  • Cross-functional leadership
  • AB testing
  • Execution excellence

Benefits

  • Medical benefits
  • Financial benefits
  • RRSP eligibility
  • Paid time off
  • Parental leave
  • Restricted stock units
  • Bonus

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Data & Analytics
  • Management & Leadership
  • Software
  • Retail

Keywords

  • Product Management
  • Multimodal Search
  • AI
  • Machine Learning
  • Ecommerce
  • Search Algorithms
  • Ranking Models
  • Semantic Search
  • Personalization
  • Recommender Systems
  • Data Science
  • Analytics
  • User Research
  • Product Strategy
  • MVP
  • AB Testing
  • Cross-functional
  • Marketplace
  • Product Discovery
  • Customer Journey

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