Amazon Development Centre (India) Private Limited

E-Commerce

RiskManagerII,AI&AutomationPrograms,REs-Q

₹35–52L ~AI est. Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“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.

E Commerce
Problems you'll solve

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

Free ATS check

Applying for this Risk Manager II, AI & Automation Programs, REs-Q role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

ANONYMOUS · UNFILTERED

What do employees actually say about Amazon Development Centre (India) Private Limited?

Real rants from real employees. Read before you apply.

Read Company Rants →