Senior Product Manager - Technical, Audible Fraud Defense

Amazon Amazon · Big Tech · Newark, NJ · Project/Program/Product Management--Technical

Senior Technical Product Manager for Audible's Fraud Defense team, owning product strategy and roadmap for fraud prevention and anti-piracy capabilities. This role involves defining and driving technical product strategy to combat evolving threats in creator fraud, customer fraud, and content piracy, working closely with engineering, data science, legal, and security teams.

What you'd actually do

  1. Own the product roadmap for Audible's fraud defense program across three risk domains: creator fraud (royalty harvesting, copyright infringement, listening manipulation), customer fraud (payment fraud, account abuse, policy exploitation), and content piracy (DRM circumvention, unauthorized distribution, platform scraping). Define how fraud risk is modeled, detected, and acted upon across Audible's global marketplaces
  2. Drive the product strategy for Audible's anti-piracy capabilities, including application attestation to detect inauthentic app access, YouTube Content ID integration for automated takedown, audio watermarking for forensic source tracing, and anti-scraping detection systems. Define graduated enforcement frameworks that balance customer experience with content protection
  3. Own the product vision for Audible's fraud detection and enforcement platform — defining how signals from consumption patterns, payment behavior, account activity, and content distribution are evaluated to identify and contain fraud. Partner with data science and engineering to improve detection precision, reduce false positives, and scale automated enforcement across all marketplaces
  4. Build product mechanisms that protect creator royalties from exploitation while ensuring legitimate creators and customers are not negatively impacted. Define how trust scoring, abuse thresholds, and appeal processes work across the creator and customer lifecycle
  5. Partner with Content, Legal, Engineering, Security, Customer Service, and external partners (publishers, industry associations, anti-piracy vendors) to align on fraud prevention strategy and drive execution. Represent the fraud defense program in executive reviews (Monthly Fraud Review, OP1/OP2). Influence without authority across organizations with competing priorities

Skills

Required

  • 7+ years of full product life cycle experience
  • 5+ years of technical product management experience with internet or technology products
  • Experience building and evolving trust & safety, fraud prevention, risk scoring, or content protection products
  • Experience translating ambiguous fraud or abuse signals into durable product mechanisms
  • Bachelor's degree in computer science, engineering, data science, or related technical field
  • Experience working with machine learning or data science teams to build detection and classification systems
  • Experience delivering technical products requiring cross-team coordination across engineering, legal, and operations

Nice to have

  • Experience in digital content protection, DRM, anti-piracy, or intellectual property enforcement
  • Experience with payment fraud, account security, or abuse detection at scale
  • Knowledge of engineering practices for detection systems, including ML model evaluation, signal processing, and real-time scoring architectures
  • Experience working with external partners (industry associations, legal counsel, platform trust & safety teams) on coordinated enforcement
  • Experience managing products across multiple international marketplaces with varying regulatory requirements
  • MBA or advanced

What the JD emphasized

  • technical product strategy
  • fraud signals
  • fraud prevention products
  • technical judgment
  • detection and enforcement architectures
  • product strategy in ambiguous, high-stakes domains
  • fraud detection and enforcement platform
  • ML model evaluation

Other signals

  • fraud detection
  • anti-piracy
  • risk modeling
  • ML detection systems