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

Amazon.com Inc
  • Seattle, WA
    2 days ago

    Job Description

    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.

    Numbers & Facts

    LocationSeattle, WA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

    Skills

    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Agentsunmatched
    • Artificial Intelligence (AI) Programming Languagesunmatched
    • Automationunmatched
    • Balance Sheetunmatched
    • Billingunmatched
    • Calibrationunmatched
    • Coachingunmatched
    • Credit Riskunmatched
    • Customer Experienceunmatched
    • Employee Retentionunmatched
    • Financial Servicesunmatched
    • Financial Systemsunmatched
    • Health Maintenanceunmatched
    • Investment Managementunmatched
    • Leadershipunmatched
    • Loansunmatched
    • Machine Learningunmatched
    • Metricsunmatched
    • Modeling Languagesunmatched
    • Onboardingunmatched
    • Partner Salesunmatched
    • People Managementunmatched
    • Product Managementunmatched
    • Product Planningunmatched
    • Product Strategyunmatched
    • Prototypingunmatched
    • Riskunmatched
    • Risk Managementunmatched
    • Salesunmatched
    • Small Businessunmatched
    • Software Agentsunmatched
    • Strategic Planningunmatched
    • Team Lead/Managerunmatched
    • Team Playerunmatched
    • Technical Strategyunmatched
    • Use Casesunmatched

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