Amazon Development Centre (India) Private Limited
E-Commerce
RiskManagerII,AI&AutomationPrograms,REs-Q
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“Risk Manager II, AI & Automation Programs, REs-Q at Amazon Development Centre (India) Private Limited. Skills: Risk management, AI, Automation, Program management. Own defect elimination outcomes. Leverage AI-powered products”
What You'll Achieve.
Defect elimination outcomes; Reduce defect rates; Reduce human investigation hours; Improve investigator efficiency; Reduce seller defect rates
Industry & Context.
Root cause analysis; Defect analysis; Data-driven decision making
What They're Looking For.
Must Have
Bachelor's degree or equivalent, 5+ years program management, 3+ years experience with engineering/science teams, 2+ years risk management experience, Experience managing cross-functional programs, Experience writing technical requirements, Proficiency with SQL, Understanding of data pipelines, Experience with defect analysis, Experience with root cause investigation, Experience with process improvement
Nice to Have
Experience launching AI/ML products, Hands-on experience with Amazon AI tools, Experience analyzing ML model outputs, Experience defining and tracking program metrics, Experience building dashboards, Experience driving data-informed prioritization, Familiarity with agile development methodologies, Familiarity with DMAIC process improvement
What You'll Do.
Own defect elimination outcomes
Leverage AI-powered products
Identify systemic abuse patterns
Translate investigator insights
Measure technology investments
Partner with engineering teams
Launch ML-based systems
Optimize automation workflows
Own RC/PA for automation defects
Analyze ML model outputs
Reduce seller defect rates
Improve investigator efficiency
Shape how Amazon protects trust
Coordinate across teams
Drive cross-functional alignment
Build program roadmaps
Drive escalation management
Conduct defect pattern analysis
Identify systemic abuse trends
Identify misclassification gaps
Identify automation coverage expansion
Partner on ML model performance
Understand precision/recall trade-offs
Understand data pipeline health
Understand operational impact
Translate feedback into requirements
Serve as voice of risk operations
Drive investigation into model failures
Document root cause findings
Define preventive actions
Ensure accountability
Lead escalation triage
Assess automated system outcomes
Diagnose data pipeline failure
Diagnose policy misalignment
Route issues to appropriate team
Identify launch blockers
Ensure seamless product implementation
Define success metrics
Instrument success metrics
Measure automation coverage
Measure defect escape rates
Measure seller experience impact
Prepare program updates
Present launch readiness reviews
Present defect elimination impact
Quantify value of investments
Review defect dashboards
Review ML model performance
Flag misclassification spikes
Identify automation coverage shortfalls
Meet with investigators
Understand defect patterns
Translate insights into tickets
Join system design reviews
Refine technical specs
Drive sprint planning
Analyze escalation triage data
Validate deployed models
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Science teams; Operations teams; Legal teams; Policy teams; Risk Managers; Investigators
Communication Scope
Written communication; Verbal communication; Executive presentations
Process & Methodology
Program management, Roadmap planning, Agile, DMAIC
Full Job Description
Millions of Selling Partners trust Amazon's marketplace to grow their businesses, and hundreds of millions of customers depend on us every day. Behind that trust is a network of systems, tools, and workflows designed to detect and resolve fraud and abuse at scale — and our team builds them. We are looking for a Risk Manager - AI & Automation who will drive the intersection of risk intelligence and technology across TSI SCI and Res-Q. In this role, you will own defect elimination outcomes by leveraging AI-powered products and automation tools - identifying systemic abuse patterns, translating investigator insights into model improvement requirements, and measuring whether our technology investments actually reduce defect rates and reduce human investigation hours. You will partner with engineering, science, and operations teams to launch and optimize ML-based detection systems and automation workflows for risk reduction. You'll own root cause and preventive action (RC/PA) for automation-driven defect elimination, analyze ML model outputs to identify misclassification patterns, and reduce seller defect rates and improve investigator efficiency. This role offers the opportunity to shape how Amazon protects seller and customer trust by combining risk reduction expertise with technology execution that fundamentally improve how our organization operates. Key job responsibilities • Own end-to-end defect elimination outcomes for AI and automation initiatives by coordinating across engineering, science, operations, legal, and policy teams to deliver on time and at quality • Drive cross-functional alignment across Risk Managers, Operations, Science, Legal, and Policy stakeholders to define product scope, prioritize features, and manage trade-offs - with defect elimination as the primary lens • Build and manage program roadmaps for automation launches, tracking dependencies, identifying risks, and driving escalation management across multi-team initiatives • Conduct defect pat
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