採用
福利厚生
•Healthcare
•401(k)
•Equity
•Parental Leave
•Unlimited Pto
必須スキル
Product Management
Data Analysis
Experimentation
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 the team and the role:
Within the buyer risk team our vision is “To build a trusted marketplace ar e Bay by creating intuitive and scalable buyer risk experiences and capabilities that prevents fraudulent and abusive behavior while minimizing the impact on and improving the experience for genuine users” We enable this by timely fraud detection and prevention, building next generation risk framework, enabling users and building trust.
You will be part of an outstanding product organization in which we have built a strong product management culture over the years. You would be the leader of the product that you own to develop the strategy going forward.
In this position, you are responsible for directly impacting user experience to increase transaction volume at e Bay. You will collaborate with business units, data science, build and engineering teams to bring in technology to detect fraudulent users. As part of the larger payment organization, we have developed the payment infrastructure from scratch over the last few years. You will find yourself diving deep in this landscape.
What you will accomplish:
-
Collaborate with Risk Policy and Data Science, Engineering and Operations teams to ship high-impact features, experiments, risk framework and capabilities that improve the customer experience while leading financial loss due to fraud
-
Create magical buyer risk experience by utilizing data insights, qualitative user research and design principles to enable genuine users
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Partner with Data Science teams to build/leverage AI/ML models to proactively detect fraud risk patterns
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Create strategic alignment with other product and cross-functional teams around vision, resourcing and priorities to execute effectively
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Establish a clear strategy and vision for the area of focus within buyer risk by leveraging internal and external capabilities
-
Build risk products for ebay core and ebay Live
What you will bring:
-
5 years product management experience, building and shipping high-quality products
-
Bachelors or Master’s degree in Engineering, Management etc.
-
Prior experience in risk or trust management preferable
-
Familiarity using research, experimentation and product analytics to guide decision making
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Passion for technology, willingness to dive deep into the technical products, and commitment to learning and expanding technical knowledge
-
Role is based in Austin on a hybrid structure (current expectation is to come 3 days a week to office)
The base pay range for this position is expected in the range below:
$126,000 - $165,000
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 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.
Additional Details
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. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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.
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eBayについて

eBay
PubliceBay Inc. is an American multinational e-commerce company based in San Jose, California, that allows users to buy or view items via retail sales through online marketplaces and websites in 190 markets worldwide.
10,001+
従業員数
San Jose
本社所在地
$28.1B
企業価値
レビュー
3.8
5件のレビュー
ワークライフバランス
4.2
報酬
2.5
企業文化
4.0
キャリア
2.8
経営陣
3.5
良い点
Good work-life balance
Great culture and environment
Nice colleagues and supportive people
改善点
Limited opportunities for growth
Old technology and systems
Call quotas and difficult customers
給与レンジ
2,731件のデータ
Junior/L3
Senior/L5
Junior/L3 · Product Manager
260件のレポート
$206,932
年収総額
基本給
$150,529
ストック
$36,440
ボーナス
$19,962
$146,129
$303,004
面接体験
4件の面接
難易度
3.0
/ 5
期間
14-28週間
体験
ポジティブ 0%
普通 75%
ネガティブ 25%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
ニュース&話題
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