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Senior Manager, Product Management Technical, Credit and Fraud Risk, Amazon Business Payments and Xborder

Amazon is hiring a Senior Manager, Product Management Technical, Credit and Fraud Risk, Amazon Business Payments and Xborder in Seattle, United States. It pays $218k-$295k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions Generative AI, Large Language Models and AI agents among its tools and skills.
  • Level classes it as a senior role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Leads a product management team building next-generation AI-native credit and fraud risk platforms using generative AI and agents.

Generative AILarge Language ModelsAI agents
ai-agentsai-automationproduct-managementrisk-managementtechnical-leadership
Are you passionate about building intelligent financial systems that protect and empower millions of businesses? Do you want to lead a team at the intersection of AI and complex risk management while growing the next generation of product leaders?

The Amazon Business Payments (ABP) team provides invoicing, working capital, and payment acceptance solutions to Amazon Business customers, sellers, and other small business customers across Amazon. We are part of the global Amazon Payments organization, which aims to delight our customers by building payment experiences and financial services that are trusted, valued, and easy to use from anywhere in any way.

Within ABP, the Credit and Fraud Risk Management team drives credit and fraud decisions for our Business Credit account product with the objective of maximizing credit access, minimizing losses, reducing friction, and maintaining a healthy balance sheet. We are entering a transformative era where Generative AI, large language models, and autonomous AI agents are fundamentally reshaping how we manage risk.

We are seeking a Senior Manager, Product Management Technical to own the strategic vision and multi-year roadmap for our next-generation credit and fraud risk platform while building and leading a high-performing product management team. This is a high-ambiguity leadership role where you will define the problem space, set the vision, and architect AI-native product solutions. You will lead through your team, coaching managers and individual contributors to deliver innovation through Generative AI and AI agents that create step-function improvements in efficiency, accuracy, and customer experience.

You will partner closely with Science, Engineering, Portfolio Management, Operations, and business teams across multiple organizations to deliver transformational credit and fraud capabilities. This role requires deep technical judgment, the ability to influence senior leaders across Amazon Payments, Amazon Business, and Seller Partner Services, and a proven ability to attract, develop, and retain top talent.

Key job responsibilities
- Define and own the 3–5 year strategic product vision and roadmap for credit and fraud risk management, aligning your team's priorities to measurable outcomes across a multi-billion dollar lending portfolio.
- Build, lead, and develop a team of product managers and people managers — recruiting bar-raising talent, creating tailored onboarding and development plans, and coaching leaders to grow their own teams effectively.
- Drive innovation through Generative AI and AI agents by identifying use cases where foundation models, autonomous agents, and intelligent automation can transform credit decisioning, fraud detection, and risk operations.
- Set the technical product strategy for how AI capabilities integrate into credit and fraud systems, partnering with Science and Engineering leaders to evaluate emerging architectures and shape trade-offs that preserve long-term strategic flexibility.
- Influence strategic direction across multiple organizations including Payments, Amazon Business, and Seller Partner Services through clear written narratives and executive forums, while establishing metrics frameworks that measure the effectiveness of AI-driven risk decisions.

A day in the life
You start many mornings reviewing your team's written proposals or experiment results, providing feedback that sharpens their thinking before broader reviews. Mid-morning might bring a working session with your Science and Engineering counterparts to evaluate a new AI agent prototype for fraud detection. After lunch you shift to people leadership — a career-growth conversation with a direct report, followed by a calibration discussion with peer managers. Later you may draft or review a strategic narrative for senior leadership that lays out the next phase of your platform roadmap, then close the day syncing with your managers on priorities and blockers across the team.

About the team
The Credit and Fraud Risk Management team within ABP is responsible for every credit and fraud decision across the Business Credit account product. We combine advanced machine learning, Generative AI, and deep domain expertise to maximize credit access for businesses while protecting Amazon's balance sheet. Our team operates at the intersection of product, science, and engineering, and we are investing heavily in AI-native capabilities that will define the future of automated risk management. We value an inclusive, collaborative culture where leaders at every level are empowered to challenge assumptions, propose new ideas, and grow their careers.

Basic qualifications

- 8+ years of team management experience
- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product

Preferred qualifications

- Experience delivering consumer software products and services in a high growth environment

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 - 217,700.00 - 294,500.00 USD annually
USA, WA, Seattle - 197,900.00 - 267,800.00 USD annually

How we rate this

Senior Manager, Product Management Technical, Credit and Fraud Risk, Amazon Business Payments and Xborder 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.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsAI AutomationProduct ManagementRisk ManagementTechnical LeadershipGenerative AILarge Language Models

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a workflow you automated with AI tools, end to end.
  3. Tell me about a project where product management was part of your work. What did you do?
  4. Tell me about a project where risk management was part of your work. What did you do?
  5. Tell me about a project where technical leadership was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, AI Automation, Product Management, Risk Management, and Technical Leadership. 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.

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