AmazonSenior Product Manager, External Services - Fraud Enforcement, AWS Payments & Fraud Prevention
AI in this role
Own product strategy and real-time enforcement for AWS fraud detection using machine learning and risk signals.
AWS Fraud Prevention uses identity, account activity, payment, and service usage signals in machine learning models and AI systems to detect fraud and account compromise. This role will define how AWS turns those risk assessments into fast, consistent enforcement actions that protect customers and AWS across services and regions. You will own the strategy and roadmap for real-time enforcement, including reusable capabilities, customer safeguards, service adoption, and measures of speed and accuracy.
The ideal candidate has a strong track record of defining and delivering technical products at scale. You understand distributed systems, automated decision-making, and how to balance rapid fraud prevention with the impact on legitimate customers. You can also align teams across AWS around a common product strategy and technical approach.
Key job responsibilities
Real-Time Enforcement Strategy: Own the vision and roadmap for how AWS turns risk assessments into consistent enforcement actions. Define reusable capabilities that help mitigate fraud across all AWS services without building a separate solution for each use case.
Reliable Execution: Define product and technical requirements for enforcement actions that must complete in real-time. Partner with Engineering to ensure enforcement is scalable, observable, and resilient across services and regions.
Policy and Customer Safeguards: Define how the severity and confidence of a risk assessment, customer context, and potential impact determine the appropriate response. Establish requirements for actions, customer communication, auditability, human review when needed, and paths to recovery.
AWS Service Adoption: Expand real-time enforcement across AWS compute, AI, Marketplace, and emerging products. Identify coverage gaps, prioritize integrations, and make enforcement readiness part of product launch planning.
Measurement and Improvement:Track time to action, execution success, automation coverage, false positives, customer recovery, and prevented fraud loss.
Cross-Functional Leadership:Partner with AWS service teams, Identity, Security, Customer Service, Engineering, Science, Legal, and product leaders. Align teams on priorities, resolve trade-offs between fraud prevention and customer experience, and represent the domain in executive reviews.
Basic qualifications
- 5+ years of technical product management with internet business experience
- Experience in taking a product from conception & definition phase through engineering design and taking it to market
- Experience driving direction and alignment with cross-functional teams
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience using AI tools to accelerate product development, research, and decision-making
Preferred qualifications
- Experience working with engineering and technical teams to build automated solutions
- Experience in fraud prevention, trust and safety, security operations, or account-risk products
- Experience with cloud services, resource management, account security, or access controls
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
How we rate this
Senior Product Manager, External Services - Fraud Enforcement, AWS Payments & Fraud Prevention at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where product strategy was part of your work. What did you do?
- Tell me about a project where fraud detection was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where cross functional leadership was part of your work. What did you do?
- Tell me about a project where risk management was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Product Strategy, Fraud Detection, Machine Learning, Cross Functional Leadership, and Risk Management. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get a free CV reviewGet new AI product manager jobs (Works on AI ●●●○ or higher) by email
One email a week with the new AI product manager jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Product roles that work on AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step