Summary
Overview
Work History
Education
Skills
Timeline
Generic

Nikhil Vaibhav

Bengaluru

Summary

Senior Product Manager with 9+ years of experience building AI-powered risk, dispute, and investigation platforms at scale. Led $100M+ impact programs across abuse prevention and network loss, partnering with Engg., ML, legal, and operations. Experienced in customer/ merchant facing workflows, platform architecture, data quality systems, and GenAI-driven productivity tooling.

Overview

2026
2026
years of professional experience

Work History

Sr. Product Manager – Risk Investigation Platforms

Amazon
10.2022 - Current
  • Led GenAI-powered investigation and dispute resolution platform used by 1000+ investigators, reducing investigation cycle time by 20%+ and improving decision quality in high-risk refund abuse cases.
  • Applied ML, automation, and GenAI copilots to reduce investigator effort per case while improving decision explainability by introducing interactive GenAI features like Advisor chatbot, risky account summarizer etc.
  • Built AI-assisted workflows integrating multiple risk signals and policy engines, enabling scalable, extensible case handling across regions.
  • Designed cluster-based fraud detection tool (graph visualization + ML), improving fraud ring detection productivity by 50% and decision accuracy by 25%.
  • Partnered with Legal, Compliance, and Risk teams to operationalize criminal referrals (30+ cases), navigating regulated enforcement workflows.
  • Spearheaded a data quality initiative, improving data consumption across Business Assurance Platform (BAP) teams and driving a 30% improvement in data quality.
  • Led the product launch to increase savings, created an impact of ~$84 MM (+200% YOY) savings through reducing concession leakage by getting new ML pipeline, making process changes and identifying new sources of policy violation
  • Launched a new initiative for the criminal enforcement of large fraud rings in partnership with Product, ML, legal, loss prevention, etc. Successfully referred 30+ cases to law enforcement.
  • Partnered with new country launch team for identifying scrappy solutions for policy abuse detection due to lack of ML models, impact $6.9MM

Sr. Product Manager – Network Loss Reduction

Amazon
  • Defined 3-year product vision for ML-driven abuse detection across network entities (sellers, delivery partners), securing 3X funding for global expansion across multiple countries.
  • Launched evidence-collection platform integrated with supply chain APIs to reduce shrinkage and merchant losses by $11MM.
  • Increased adoption of ML-powered seller risk tools, reducing $2MM in abuse-linked losses through improved workflow automation and signal prioritization.

Program and Ops Manager – Buyer Abuse Prevention

Amazon
04.2020 - 10.2022
  • Orchestrated a team of 4 managers and 70+ associates, driving a 20% increase in key performance indicators related to investigation cycle time.
  • Implemented strategies to boost site-level Decision Quality performance across a team of 150+ investigators, achieving a measurable 20% improvement in overall investigative outcomes using new strategies.
  • Spearheaded the RCM initiative to improve customer satisfaction, reducing customer contact rate by 15% through tracking new metrics and better coordination across partner teams.
  • Pioneered LAUNCHPAD to bridge the training gap for new managers, leading to 20% faster onboarding times.
  • Joined a 0 to 1 team to introduce clustered account investigations leveraging advance ML Models
  • Created charter for the program, introduced success metrics

Summer Intern

PhonePe
04.2019 - 05.2019
  • Recommended Go-To-Market strategy for launching new offline product by performing competitive benchmarking & market analysis through primary research across 230+ stores in 4 Tier 1 & Tier 2 cities.
  • Proposed actionable solutions for merchant segments, applicable across 80% of business categories to improve merchant engagement.
  • Developed roadmap for incentivizing use of PhonePe products through mechanism of app-based promotions.

Divisional Mechanical Engineer

Indian Railways
06.2014 - 05.2018
  • Youngest Officer to lead a cross functional team of 300+ employees, operations of 60+ locomotives.
  • Incharge, Loco Shed Material Planning, INR 5+Crores, coordinated e-procurement implementation.
  • Led a team of 20+ supervisors, improved locomotive availability by 5%, reduced failure by 50%.
  • Coordinated with 15+officers across 8 functional departments of Indian Railways and 2+ PSUs.
  • Negotiated with 2 trade unions, 10+ representatives, redressed 50+ grievances, resolved conflicts.

Education

MBA -

Indian Institute of Management Bangalore

B. Tech -

Birla Institute of Technology
Ranchi

Skills

  • Risk & Abuse Prevention Platforms
  • Disputes & Investigation Workflows
  • ML/GenAI Integration in Operations
  • Platform Architecture & API integrations
  • Data Quality & Signal Strategy
  • Cross-functional Leadership (Eng, ML, Legal, Risk)
  • Global Product Expansion
  • Cost-to-Serve Optimization

Timeline

Sr. Product Manager – Risk Investigation Platforms

Amazon
10.2022 - Current

Program and Ops Manager – Buyer Abuse Prevention

Amazon
04.2020 - 10.2022

Summer Intern

PhonePe
04.2019 - 05.2019

Divisional Mechanical Engineer

Indian Railways
06.2014 - 05.2018

Sr. Product Manager – Network Loss Reduction

Amazon

MBA -

Indian Institute of Management Bangalore

B. Tech -

Birla Institute of Technology
Nikhil Vaibhav