Senior Product Manager Tech, Selling Partner Trust and Store Integrity (tsi)

Amazon Amazon · Big Tech · Seattle, WA · Project/Program/Product Management--Technical

Senior Product Manager Tech role focused on developing ML science-based fraud detection solutions for tax compliance and global regulatory landscapes. The role involves defining product vision, leading development of core capabilities for risk detection, and partnering with various stakeholders to build adaptive governance frameworks and protect Amazon and its sellers from fraud and abuse.

What you'd actually do

  1. Own the multi-year product roadmap for tax compliance infrastructure spanning Prevention, Detection, Investigation, and Enforcement capabilities, working in close partnership with senior leadership and peer PMs
  2. Address the bad actor risks by leveraging and refining various type of verifications and investigations while shaping the design of dynamic data collection systems.
  3. Balance risk detection with seller experience. Deliver measurable improvements in seller experience for compliance requirements, including defining product features that reduce customer friction through improved compliance mechanisms (e.g., reducing verification time from weeks to days)
  4. Make product decisions that balance regulatory obligations, seller experience, system scalability, and operational efficiency
  5. Translate investigation insights and emerging fraud patterns into prioritized product requirements and technical initiatives

Skills

Required

  • Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
  • 5+ years of end to end product delivery experience
  • Experience owning/driving roadmap strategy and definition
  • Experience with feature delivery and tradeoffs of a product
  • Experience analyzing data to make business decisions
  • 5+ years of product management experience in technical domains, working on portfolio of products serving multiple organizations with competing priorities

Nice to have

  • Experience with fraud and abuse detection is highly preferred
  • Experience delivering consumer software products and services in a high growth environment
  • Experience with machine learning, data science, or advanced analytics for fraud detection
  • Experience in fraud and abuse detection, AML/KYC programs, or tax compliance domains
  • Master degree in Business, Computer Science, or related field
  • Track record building shared service platforms serving multiple business units with different requirements
  • Familiarity with SQL, data analysis tools, or technical system design

What the JD emphasized

  • ML science-based fraud detection solutions
  • detect bad actors who exploit seams among our systems
  • Experience with machine learning, data science, or advanced analytics for fraud detection
  • Experience in fraud and abuse detection, AML/KYC programs, or tax compliance domains

Other signals

  • ML science-based fraud detection solutions
  • detect bad actors who exploit seams among our systems
  • holistic risk detection across tax, compliance and general bad actor abuse
  • adaptive governance frameworks that stay ahead of evolving regulations