Sr Risk Manager, Selling Partner Identity Verification

Amazon; Seattle (WA); On-site; USD 121,000 - 164,000; Full time

Job summary

Amazon Inc. is seeking a highly analytical Senior Risk Manager to own the entity risk strategy for the Selling Partner Identity Verification program.

You will lead cross-account risk detection and governance across Sellers, Buyers, Brands, Vendors, and Payments, building scalable frameworks and collaborating with senior leaders across Science, Engineering, Risk, Legal, and Operations. The role emphasizes unifying signals into a comprehensive defense, developing graph-based models and automated

Qualifications

• Bachelor's degree or equivalent required.
• Strong SQL querying ability in large-scale datasets.
• Excellent written and verbal communication for senior leadership.
• 5+ years designing risk detection strategies for cross-account fraud networks.
• Experience developing risk coverage frameworks and automated pipelines.

Responsibilities

• Define and execute an entity-level risk framework across interconnected seller, buyer, brand, vendor, APay, and other accounts.
• Architect end-to-end policy, enforcement, and remediation against bad-actor networks.
• Drive policy alignment across Identity, Financial, Brand, and Payments domains.
• Partner with Data Science and Engineering to translate signals into ML features and graphs.
• Prepare executive whitepapers and present metrics to VPs and Directors.

Skills

SQL

Communication

Cross-account risk

Fraud networks

Risk detection

Machine Learning

Graph databases

Data analytics

Education

Bachelor's degree or equivalent

Master's degree

Tools

Network topology tools

Graph databases

Job description

Sr Risk Manager, Selling Partner Identity Verification

Job ID: 10572871 | Amazon.com Services LLC - A57

The Selling Partner Trust and Store Integrity (TSI) org is committed to our vision that bad actors cannot operate in our store while selling partners start and grow their business without fear of disruption, such that customers and selling partners across the globe trust us and have confidence in the integrity of Amazon's store.

Amazon is seeking a highly analytical, strategic, and transformative Senior Risk Manager to lead our Entity Risk Strategy. This team is tasked with protecting Amazon's brand reputation, customer trust, and partner relationships by identifying, evaluating, and mitigating complex risks that transcend traditional platform boundaries.

In this role, you will own the overarching strategy to detect, assess, and resolve cross-account risks across Amazon's ecosystem, including Sellers, Buyers, Brands, Vendors, Amazon Pay (APay), and other account types. You will move beyond traditional siloed risk frameworks to establish a unified, entity-level risk assessment and governance structure. As a principal-level domain expert, you will build the scalable detection logic and resolution frameworks that connect disparate signals into a comprehensive defense, collaborating with senior leadership across Science, Engineering, Risk, Legal, Public Relations, and Global Operations to deploy global-scale mitigations against complex bad-actor networks.

Key job responsibilities

• Unified Entity Strategy: Define and execute the multi-year strategy for a holistic, entity-level risk framework that maps and assesses threat surfaces across interconnected Seller, Buyer, Brand, Vendor, APay, and other account ecosystems.
• Scalable Resolution Frameworks: Architect and enforce end-to-end policy, enforcement, and remediation frameworks that allow operational teams to execute precise, coordinated actions against related bad-actor networks.
• Cross-Functional Stakeholder Alignment: Drive architectural alignment and policy consensus across specialized risk domains (e.g., Identity Risk, Financial Risk, Brand Protection, Payments Compliance) to ensure a unified defensive posture.
• Data Automation and Architecture Integration: Partner with Data Science and Engineering teams to translate complex network insights and cross-account signals into automated feature engineering pipelines, graph structures, and machine learning models.
• Governance and Executive Reporting: Maintain a comprehensive view of systemic cross-account vulnerabilities, authoring high-visibility executive whitepapers (Amazon 6-pagers) and presenting status metrics directly to VPs and Directors.

Basic Qualifications

• Bachelor's degree or equivalent
• Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
• Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership
• 5+ years of hands‑on experience designing risk detection strategies specifically targeting cross-account relationships, seller, brand, vendor and other or complex multi-entity fraud networks.
• Experience developing risk coverage frameworks and detection logic that directly feed into automated mitigation engineering/Science pipelines.

Preferred Qualifications

• Master's degree or equivalent
• Experience leading and influencing your team or organization, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
• Experience in data analytics or automation
• Technical familiarity with graph databases or network topology tools used to visualize multi-entity structures.

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 .

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 .

Preferred Qualifications

• Master's degree or equivalent
• Experience leading and influencing your team or organization, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
• Experience in data analytics or automation
• Technical familiarity with graph databases or network topology tools used to visualize multi-entity structures.

USA, WA, Seattle - 121,200.00 - 163,900.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.