Senior Product Manager 2 - Technical

Posted Yesterday
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San Jose, CA, USA
In-Office
223K-271K Annually
Senior level
eCommerce • Retail
The Role
Lead cross-functional teams to design, build, and launch fraud and buyer-risk products using ML/AI. Define roadmap, KPIs, run A/B tests, integrate real-time decisioning, and improve conversion while reducing fraud and financial loss.
Summary Generated by Built In

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:

eBay, Inc. seeks Senior Product Manager 2 - Technical in San Jose, CA 

What you will accomplish: 
Job Duties: Lead the risk policy, data science, engineering, and operations teams throughout the design, development, and implementation of high-impact software and systems features, experiments, risk framework, and capabilities that improve the customer experience while managing financial loss due to fraud. Design and drive a user-focused project roadmap, utilizing data insights, qualitative user research, and design principles to enable genuine users. Define and track key performance indicators (KPIs) to measure the success of product features and experiments. Communicate product vision, roadmap, and progress to partners across the company. Supervise and direct the installation and usage of Artificial Intelligence and Machine Learning models and tools to proactively detect fraud risk patterns. Create strategic alignment with other products and cross-functional teams around vision, resourcing, and priorities to execute effectively. Establish a clear strategy and vision for the area of focus within buyer risk by leveraging internal and external capabilities. Lead A/B testing sequences to validate hypotheses and implement solutions to enhance conversion rates and user engagement and using experimental data to iteratively improve product performance and achieve key business objectives. Lead and estimate engineering effort, plan implementations, and rollouts for applications integrating with cross-functional components. Evaluate individual and team performance at each project checkpoint to proactively identify and mitigate any potential risks and maintain compliance with the timeline of deliverables. Partial telecommuting permitted from within a commutable distance.

What you will bring:
Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering, Business Administration or a closely related field plus two years of experience in the job offered or a related occupation. Employer will accept a Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering, Business Administration or a closely related field plus five years of experience in the job offered or a related occupation.

Special Skill Requirements: 

  • Experience developing and interpreting fraud detection, transaction risk, and identity verification models (2 years)
  • Proficiency with SQL for large-scale data extraction, transformation, and analysis (2 years)
  • Working knowledge of machine learning concepts, including feature engineering, supervised and unsupervised classification, and anomaly detection (2 years)
  • Proficiency in Agile product management tools such as Jira, Confluence, and Asana for product backlog and roadmap tracking (2 years)
  • Strong understanding of data pipeline structures, real-time event processing, and decisioning systems (2 years)

Salary: $223,142.00-271,300.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Must be legally authorized to work in the U.S. without sponsorship. 

Additional Details

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.

Remote roles are not eligible for U.S. visa sponsorship.

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.

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.

Skills Required

  • Master's degree in Computer Science, Engineering, Business Administration or related field plus 2 years relevant experience (or Bachelor's plus 5 years)
  • Experience developing and interpreting fraud detection, transaction risk, and identity verification models (2 years)
  • Proficiency with SQL for large-scale data extraction, transformation, and analysis (2 years)
  • Working knowledge of machine learning concepts including feature engineering, supervised and unsupervised classification, and anomaly detection (2 years)
  • Proficiency in Agile product management tools such as Jira, Confluence, and Asana (2 years)
  • Strong understanding of data pipeline structures, real-time event processing, and decisioning systems (2 years)
  • Must be legally authorized to work in the U.S. without sponsorship

eBay Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about eBay and has not been reviewed or approved by eBay.

  • Healthcare Strength Medical, dental, and vision coverage begin on the date of hire, complemented by mental health resources, an EAP, disability coverage, FSAs, and wellness initiatives.
  • Leave & Time Off Breadth A robust mix of PTO, paid holidays, flexible work styles, parental leave, and a four‑week paid sabbatical after five years supports work‑life balance.
  • Equity Value & Accessibility Total compensation commonly includes stock components, with access to an employee stock purchase plan at a discount and stock awards enhancing overall packages.

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The Company
HQ: San Jose, CA
26,035 Employees

What We Do

eBay Inc. is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals, entrepreneurs, businesses and organizations of all sizes. Our portfolio of brands includes eBay Marketplace and eBay Classifieds Group, operating in 190 markets around the world. We offer sellers the ability to grow a business with little barrier to entry regardless of size, background or geographic location. We never compete with our sellers. We win when our sellers succeed. Buyers who shop on our Marketplace and Classifieds platforms enjoy a highly personalized experience with an unparalleled selection at great value.

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