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求人Amazon

Senior Product Managers - External Services, Account Compromise Detection & Recovery, AWS Payments & Fraud Prevention

Amazon

Senior Product Managers - External Services, Account Compromise Detection & Recovery, AWS Payments & Fraud Prevention

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

1mo ago

必須スキル

AWS

  • Want to help protect millions of AWS customers from account takeover and make a direct multi-million-dollar impact to Amazon's bottom line? Come join the AWS Payments & Fraud Prevention team as the Senior Product Manager
  • External Services who will own our end-to-end account compromise detection, mitigation, and recovery strategy.

We are seeking a product leader who will be the single-threaded owner for account compromise — delivering peace of mind to customers through proactive detection and rapid mitigation. You will drive real-time threat detection, AI-powered account recovery, and post-compromise remediation. The ideal candidate combines deep security domain knowledge with product management expertise and a proven track record of delivering products at scale.

Key job responsibilities
Detection & Prevention: Own the roadmap for compromise detection spanning sign-in anomaly detection, behavioral signals, API key exposure monitoring, and customer education. Partner with data science and engineering to improve signal quality, reduce false positives, and shrink time-to-detect for novel attack patterns.

AI-Powered Recovery: Lead the strategy to use AI and automation to transform account recovery across all customer segments (individual developer, enterprise, SMB). Design flows that balance security rigor with speed, and explore agentic
AI approaches to automate triage, verification, and remediation at scale.

Integration & Ecosystem: Drive the integration roadmap across internal and external platforms to empower customers with a unified, actionable view of their security posture enabling them to quickly identify, understand, and respond to compromise threats across their AWS environment.

Resource Cleanup & Remediation: Own post-compromise cleanup strategy, including automated identification and cleanup of unauthorized resources. Build self-service tooling that empowers customers to remediate quickly.
Customer Engagement: Regularly engage with customers who have experienced compromise. Synthesize qualitative insights with quantitative signals (recovery time, re-compromise rates, support contacts) to
continuously improve the product.
Cross-Functional Leadership: Partner with Identity, AWS Security, and external security experts. Influence without authority across engineering, science, and security teams. Represent the account
compromise domain in executive-level reviews.

Basic Qualifications

  • 5+ years of technical product management with internet business experience
  • Experience overseeing roadmap strategy and definition throughout the product life cycle from concept to end of lifecycle
  • Experience contributing to engineering discussions around technology decisions and strategy
  • Acts as an owner, removing obstacles and doing what's necessary to solve problems and delight customers
  • Ability to navigate ambiguity independently and drive clarity where none exists
  • Experience using AI tools to accelerate product development, research, and decision-making

Preferred Qualifications

  • Experience in cybersecurity, identity, or fraud prevention product management
  • Hands-on experience shipping AI/ML products that solve complex customer problems at scale
  • Experience with security, compute, and AI cloud services
  • Track record of influencing cross-functional roadmaps across engineering, science, and security teams

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 152,200.00 - 205,900.00 USD annually

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応募クリック数

0

模擬応募者数

0

スクラップ

0

Amazonについて

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

従業員数

Seattle

本社所在地

$1.5T

企業価値

レビュー

2.9

10件のレビュー

ワークライフバランス

2.8

報酬

3.7

企業文化

2.5

キャリア

2.3

経営陣

2.1

35%

友人に勧める

良い点

Good pay and compensation

Strong benefits package

Flexible scheduling options

改善点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

給与レンジ

4件のデータ

Junior/L3

M3

M4

M5

M6

Mid/L4

Senior/L5

Staff/L6

VP

Director

Junior/L3 · Product Manager L5

0件のレポート

$187,921

年収総額

基本給

-

ストック

-

ボーナス

-

$159,732

$216,110

面接体験

10件の面接

難易度

3.7

/ 5

期間

21-35週間

内定率

20%

体験

ポジティブ 10%

普通 10%

ネガティブ 80%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge