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Senior Product Manager - External Services, Customer Onboarding & AI Services Fraud Prevention, AWS Payments & Fraud Prevention

Amazon

Senior Product Manager - External Services, Customer Onboarding & AI Services Fraud Prevention, AWS Payments & Fraud Prevention

Amazon

New York, NY, USA

·

On-site

·

Full-time

·

1mo ago

Required skills

AWS

  • Want to help protect AWS from emerging fraud vectors and make a direct multi-million-dollar impact to Amazon's bottom line? Come join the AWS Payments & Fraud Prevention team as a Senior Product Manager
  • External Services, you will own fraud prevention strategy for AWS customer signup and AI services.

We are seeking a product leader who will be the single-threaded owner for two of the fast evolving fraud domains in AWS — account signup abuse and AI services fraud. You will balance two critical objectives: making legitimate customer onboarding as frictionless as possible while blocking bad actors who want to commit fraud or abuse our free tier offerings at scale. Simultaneously, you will build a comprehensive strategy and implement durable mechanisms to protect AWS AI services like Bedrock and Kiro from fraudulent activity. The ideal candidate combines strong fraud or security domain knowledge with product management expertise and a proven track record of delivering products at scale.

Key job responsibilities

AWS Account Signup Fraud Prevention:

Own end-to-end fraud prevention strategy for AWS account signup. Define how risk signals are evaluated and acted upon to block fraudulent accounts before they gain access to AWS services. Drive protection against bot-driven free tier abuse, partnering with data science and engineering to continuously improve detection accuracy and reduce fraudulent activity at the point of registration.

AI Services Fraud Prevention:

Define end-to-end fraud prevention product strategy for AI services. Build policy frameworks and mitigation mechanisms that create durable protection and mitigate AI services fraud.

Product Strategy & Iteration:

Drive product evolution through data-driven decision making. Synthesize quantitative performance metrics — fraud rates, false positive rates, and enforcement accuracy — with qualitative feedback from customers and internal stakeholders to identify improvement opportunities. Define product roadmaps that balance fraud prevention effectiveness with customer experience.

Cross-Functional Leadership
Partner with Identity, AWS service teams, Finance, Legal, Engineering, and Science to drive decision making. Influence without authority across engineering, science, and product organizations. Represent account
signup and AI services fraud prevention efforts in executive-level reviews.

Basic Qualifications

  • 5+ years of working as a Technical Product Manager experience
  • Experience taking a product from conception and definition through engineering design and to market
  • Experience owning/driving roadmap strategy and definition, with end-to-end product delivery
  • 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 fraud prevention, trust & safety, or security domains
  • Hands-on experience shipping AI/ML products that solve complex customer problems at scale
  • 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, NY, New York - 167,400.00 - 226,500.00 USD annually
USA, WA, Seattle - 152,200.00 - 205,900.00 USD annually

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About Amazon

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+

Employees

Seattle

Headquarters

$1.5T

Valuation

Reviews

2.9

10 reviews

Work-life balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

Junior/L3

M3

M4

M5

M6

Mid/L4

Senior/L5

Staff/L6

VP

Director

Junior/L3 · Product Manager L5

0 reports

$187,921

total per year

Base

-

Stock

-

Bonus

-

$159,732

$216,110

Interview experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge