Selling Partner Trust and Store Integrity (TSI) is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners, vendors and Amazon from fraud, counterfeit, and abuse as well as providing world‐class support and building loyalty with Amazon’s millions of selling partners. The Selling Partner Identity Verification (SPIV) team protects Amazon’s WW stores store by creating projects and programs focused on the detection of abuse at its earliest point and identifying the root causes, vulnerabilities or exploits to systematically address to prevent future abuse. Our growth requires highly skilled candidates who move fast, have an entrepreneurial spirit to create new solutions, a tenacity to get things done, thrive in an environment of ambiguity and change, and are capable of breaking down and solving complex problems. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. The combination of our unique backgrounds and perspectives strengthens our ability to achieve Amazon's mission of being Earth's most customer-centric company.

We catch bad actors and stop online fraud; It’s fun! It’s hard! It matters! We are passionate about protecting our selling partners and customers from bad actors and want a candidate that shares that passion. We are looking for an experienced Manager with background in risk, digital fraud, compliance, and/or cyber investigations. You will manage the core investigative function to provide feedback to partner teams by identifying and interpreting risk across Amazon’s global stores. You will set the vision, direction and execution of key deliverables in the risk management space, developing business cases and requirements, and prioritizing competing opportunities. You will work with a wide range of global cross-functional teams and senior leaders to build feedback loops to drive scalable improvement across the broader organization. You will align your team to high impact business areas and executing to high expectations in a fast-paced and highly visible delivery area. The ideal candidate should have a blend of strong individual investigation skills along with experience managing a high performing risk team. You should be passionate about using and understanding data to discover bad actor trends and help us ensure that customers make great purchase decisions and our selling partners using Amazon are successful listing and selling their products. Your decisions and deliverables will help proactively mitigate risk and empower partner teams in making high confidence decisions that are fundamental to protecting Amazon customers, selling partners, and will help maintain the overall health of Amazon's WW stores.

Key job responsibilities

• Lead a high performing risk team by prioritizing high impact investigative leads that drive down business impact metrics
• Work within a sprint process to properly prioritize work and deliver results consistently
• Own end to end investigation flywheel to intake high quality leads from multiple sources to identify abuse and share detailed investigation briefs with partner teams to drive scalable detection and solutions
• Manage a strong risk team with a broad knowledge of abuse/fraud to conduct deep dives to derive insights about tactics used to conduct abuse on our WW stores
• Use high-level judgment to inform our most complex enforcement decisions and understand downstream impact and tradeoffs
• Develop goals, KPIs and metrics to track investigation health, progress, and impact. Effectively communicate challenges/roadblocks, progress and success to business and senior leadership.
• Provide feedback to partner teams and intake sources to improve the quality of leads and investigation outputs
• Break down problems into understandable and manageable pieces, ruthlessly prioritizing, and delivering results in an ambiguous environment

About the team
Our work is to solve hard puzzles and identify what hasn’t already been discovered - typically with data and always with a lot persistence and curiosity. If you like the sound of that, come join us.