Senior Product Manager - Technical, Fraud Defense Job ID: 10463013

At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.

Want to protect creators, customers, and the integrity of the world's leading audio storytelling platform? Come join the Audible Fraud Defense team as a Senior Product Manager - Technical, where you will own the product strategy and roadmap for Audible's fraud defense and anti-piracy capabilities across all global marketplaces.

In this role, you will own the end-to-end product vision for Audible's Fraud Defense program — spanning creator fraud, customer fraud, and content piracy. You will define what to build, why it matters, and how to measure success. You will work closely with engineering, data science, legal, content, and security teams to translate complex fraud signals into durable product mechanisms that protect our ecosystem  ideal candidate brings deep experience building trust & safety or fraud prevention products, strong technical judgment for evaluating detection and enforcement architectures, and a track record of driving product strategy in ambiguous, high-stakes domains.

• 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
• Drive the product strategy for Audible's anti-piracy capabilities, including application attestation to detect inauthentic app access, You Tube Content n 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
• 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
• 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
• 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
• Define and own key fraud metrics — detection rates, false positive rates, financial impact avoided, takedown success rates, and operational efficiency. Use data to inform roadmap priorities, report program impact, and drive risk-based decisions with leadership

Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.

• 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