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eBay
eBay

Buy, sell, and discover.

Technical Product Manager

职能产品
级别Lead级
地点Toronto
方式现场办公
类型全职
发布1周前
立即申请

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:

The Security Engineering team at e Bay protects our platforms, customers, and data by building and operating scalable, modern security capabilities. We partner closely with product, engineering, and operations teams across the company to reduce risk while enabling innovation and great customer experiences.
As a Technical Product Manager focused on AI-driven vulnerability management, you will lead the end-to-end vulnerability lifecycle discovery, triage, prioritization, and remediation using AI-powered tools and automation to improve accuracy and reduce mean time to remediation (MTTR). In this senior-level role, you will define and drive the product roadmap for our vulnerability management program, work across organizations to align on priorities, and communicate clear, business-aligned risk insights to leadership.

What you will accomplish:

  • Lead the strategy and roadmap for AI/ML-driven vulnerability management, improving detection quality, reducing false positives, and shortening MTTR across e Bay’s platforms.
  • Coordinate the full vulnerability lifecycle from intake and triage through prioritization and remediation ensuring critical issues are addressed quickly and systematically.
  • Partner with security architects, platform engineers, developers, and operations teams to embed secure design and vulnerability considerations into next-generation platforms and services.
  • Collaborate with internal partners, technical engineers, developers, and product managers to keep vulnerability initiatives on track, aligned to business priorities, and measurable in their impact.
  • Design, implement, and maintain automated dashboards and reporting that provide leadership with clear, actionable, business-aligned risk metrics and trends.
  • Champion continuous improvement by identifying process gaps, piloting new AI tools and approaches, and sharing best practices that advance e Bay’s overall security posture.

What you will bring:

  • Experience in cybersecurity, vulnerability management, or technical program/project management, with a proven track record leading complex cross-organizational security initiatives.
  • Hands-on experience applying AI/ML or general AI tools to vulnerability management problems such as detection, triage, prioritization, and remediation workflows.
  • Strong familiarity with common security and workflow tools such as Tenable, Qualys, Rapid7, Wiz, Jira, Service Now, or similar platforms.
  • Demonstrated ability to translate technical risk into clear narratives and documentation for both technical and executive audiences, including dashboards and written reports.
  • At least 5+ years of experience in security operations or closely related domains, with strong skills in stakeholder management, communication, and influence.
  • Ability to thrive in a collaborative, fast-paced environment, working across time zones and teams, with flexibility to support critical security events as needed.

Additional Details

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

C**$142,400** - C**$190,100**

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 e Bay.

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.

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关于eBay

eBay

eBay

Public

eBay 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+

员工数

San Jose

总部位置

$28.1B

企业估值

评价

10条评价

3.8

10条评价

工作生活平衡

3.2

薪酬

2.8

企业文化

4.1

职业发展

3.0

管理层

2.7

72%

推荐率

优点

Supportive team culture and colleagues

Good benefits and health coverage

Flexible work arrangements

缺点

Management issues and lack of direction

Limited career advancement opportunities

Compensation below expectations

薪资范围

2,735个数据点

Junior/L3

Senior/L5

Junior/L3 · Product Manager

260份报告

$206,932

年薪总额

基本工资

$150,529

股票

$36,440

奖金

$19,962

$146,129

$303,004

面试评价

4条评价

难度

3.0

/ 5

时长

14-28周

体验

正面 0%

中性 75%

负面 25%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience