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Manager - Pricing & Monetization

eBay

Manager - Pricing & Monetization

eBay

Bengaluru, India

·

On-site

·

Full-time

·

5d ago

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.

About e Bay

Looking for a company that inspires passion, courage and imagination, where you can be part of the team sculpting the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re passionate about joining a purpose driven community that is dedicated to creating an ambitious & rewarding environment with a work culture that’s been genuinely committed to diversity & inclusion since its founding more than 20 years ago, join e Bay – A company you can be proud to be a part of! Here, you can just be yourself, do your best work, and have an important impact on people across the globe.

e Bay Inc (NASDAQ: EBAY) is a global commerce leader including the Marketplace, and Classifieds platforms. Founded in 1995 in San Jose, California, e Bay is one of the world’s largest and most vibrant marketplaces for discovering great value and unique selection.

The vision for e Bay is to become the trusted, ubiquitous platform for global commerce, built by the best technology team in the industry, powering compelling multi-screen experiences, core marketplace capabilities, powerful insights, and the next generation commerce ecosystem. e Bay delivers a personalized shopping experience and seamless access to inventory from down the street and around the world. With over 170 million active buyers, 300+million app downloads, and more than a Billion listings at any given time, we are one of the world’s largest online marketplaces, connecting people with the things they love virtually anytime, anywhere.

Role Overview

The Monetisation team is responsible for maximising long-term value creation for the company across buyers, sellers and partners. As Monetisation Manager, you will be an integral part of this team and will work on some of the largest and most complex elements of e Bay’s business strategy, contributing to its financial performance (top and bottom line) and defining the relationships e Bay has with its customers and partners representing the firm’s largest source of competitive advantage.

This role will report into Senior Manager, Vertical Monetization & New Revenue Strategy, and will support the team in leading e Bay’s monetization strategy related to innovative revenue models and pricing and promotion plans to support key verticals to drive growth. You will need to operate cross-functionally in the day-to-day workings with various teams including product, engineering, finance, marketing, analytics and customer service while at the global level it will be essential to collaborate effectively with the other major markets (across North America, Europe and Australia) to execute global initiatives

Key Job Responsibilities

  • Partner closely with Product and Engineering teams to design, test, and launch new fee and monetization capabilities, informed by end-to-end buyer and seller journeys

  • Analyze and optimize existing fee structures as a core monetization lever by developing more granular pricing points and elasticity-driven recommendations

  • Build and apply pricing models (elasticity, pricing impact analysis, demand forecasting) to inform rate card changes and promotional strategies

  • Deliver actionable insights using quantitative and qualitative data to evaluate pricing performance, campaign effectiveness, and competitive dynamics

  • Develop data-backed recommendations on pricing activities, including rate card updates and promotions, based on customer needs, product features, and market benchmarks

  • Collaborate with global stakeholders to communicate insights clearly and support execution of pricing and monetization initiatives

  • Identify and scope high-impact opportunities for pricing and monetization product enhancements through structured analysis and experimentation

  • Support growth of priority categories through tailored buyer- and seller-side monetization strategies, including promotions, incentives, and targeted levers

Skills & Qualifications:

Ideal candidates will have had exposure to a pricing role at some point in their career and would need to demonstrate versatility in their career.

  • 5+ years of experience across pricing, product, finance, or adjacent roles, with demonstrated depth in pricing and monetization problem-solving

  • Experience in marketplace businesses strongly preferred; alternatively, experience in retail or marketing-driven environments with C2C and B2C pricing exposure

  • Background in revenue management and pricing of services, including experience supporting or owning fee and rate card design

  • Proven ability to own key metrics, independently drive analysis, and deliver outcomes on complex, cross-functional initiatives

  • Strong analytical capabilities with hands-on proficiency in Excel, and presentation tools (PowerPoint or Google Slides)

  • Solid understanding of pricing analytics, elasticity concepts, fee structures, discounts, and incentive mechanisms

  • Demonstrated ability to operate effectively in a fast-paced, global, cross-functional environment with evolving priorities

  • Comfortable working through ambiguity, applying structured thinking to loosely defined problems

  • Clear, concise communicator with the ability to influence stakeholders through data-backed insights and storytelling

  • Strong attention to detail and ability to integrate analytical rigor with commercial judgment, balancing customer experience and business impact

Role Terms:

  • Expected Start Date: April 2026

  • Location: The role will be in a hybrid mode and the candidate needs to be based out of e Bay’s Bengaluru office

Additional requirements: Flexibility is required to attend telephone or video conference meetings in late evenings during some days of the week with global partners.

Additional Details

e Bay 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 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 e Bay's commitment to ensuring digital accessibility for people with disabilities.

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About eBay

eBay

eBay

Public

Buy, 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

Mid/L4

Mid/L4 · Business Process Analyst 2

3 reports

$111,775

total / year

Base

$97,196

Stock

-

Bonus

-

$111,775

$111,775

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