Senior Product Manager, Pay

Our vision is to make Amazon Pay as the most trusted, convenient and rewarding Payment Experience. As Amazon Pay expands and builds new capabilities, building customer trust will be the key to drive customer adoption and enable robust business growth. This role would be a part of the "Customer Trust" team in Amazon Pay. We are responsible for driving fraud and abuse prevention initiatives for Amazon Pay products and use cases.

In this role you will build complex product solutions that leverage machine learning and advanced analytics to solve for payments fraud and abuse. You will be responsible for defining the product features, partnering with engineering to design solutions, creating a phased rollout plan, and working across a broad stakeholder group to deliver results.
This role calls for an individual to showcase high judgment and decision making skills to balance customer experience with financial impact. There will be a steep learning curve, adding a fair amount of business skills to the individual. Our ideal candidate has a track record of Product Delivery of complex, multi-faceted products, is driven by data, and has the written and spoken ability to engage with and influence cross-functional stakeholders.

Key job responsibilities
In this position you will:
- Build and manage product solutions to protect Amazon Pay from Fraud & Abuse, including socializing the vision and results with Senior Leaders across Amazon
- Work with ML scientists and leverage advanced analytics team to identify Modus Operandi being used by bad actors. Translate the learnings into product roadmap to systematically mitigate payment frauds.
- Work with Payment Instrument and category leaders to assess and mitigate vulnerabilities in planned launches
- Abstract requirements to create platform solutions that can have a multiplier impact across clients of the fraud and abuse platform
- Collaborate with Global Identity and Account Integrity teams to influence and build upstream interventions to detect and prevent fraud and abuse
- Lead automation initiatives to drive efficiency in investigation, fraud resolution and reporting
- Deep dive and analyze key business performance metrics, identify gaps and define measurement frameworks to support actionable insights

A successful candidate will be highly analytical, resourceful and customer-focused. They will have a proven track record in taking end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment.

Basic Qualifications:
- 5+ years' experience in building product with new and emerging technologies
- 7+ years' experience diving deep in data to understand the customer behavior including the ability to identify and solve ambiguous problems
- Comfortable working with large sets of data; Experience with ML based decision making systems and data analytics tools such as Quicksight, Tableau
- Excellent verbal and written communication skills with an innate understanding of presenting data to different levels of leadership and sections of the organization
- Ability to operate multi-nationally with overseas business partners. Solid experience supporting key control projects/initiatives

Preferred Qualifications:
- Full Time MBA from Tier-I B-Schools
- Demonstrated data-driven decision making and quantitative analysis skills (including deep knowledge of Excel, SQL, or statistics)
- Machine Learning, Tableau or other broadly used analytics tool certifications
- Relevant experience in managing e-commerce fraud and abuse

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