Six Figure Work

Senior Product Manager - Technical, Audible Fraud Defense

Amazon

Company websiteamazon.com (Amazon, opens in new tab)

Base salary $166,300  to $225,000

Employer-published annual base salary, USD. Advertised base range in Newark, NJ

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  • LocationNewark, NJ
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

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.

ABOUT THIS ROLE

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.

Audible is the leading producer and provider of audio storytelling, with over 1MM titles, 141K+ creators, and listeners in 180+ countries. As we scale our content catalog and creator ecosystem, the sophistication of fraud and piracy threats grows with it — from creator royalty harvesting and payment fraud to large-scale content piracy on platforms like YouTube. We need a product leader who can define and drive the technical product strategy that stays ahead of these evolving threats.

ABOUT YOU

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 at scale. The 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.

As a Senior Technical Product Manager for the Audible Fraud Defense team, you will…

  • 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, 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
  • 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

ABOUT AUDIBLE

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.

Basic Qualifications

  • 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

Preferred Qualifications

  • 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 degree in a technical or business field
  • Experience working within teams delivering software products using agile methodologies

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, NJ, Newark - 166,300.00 - 225,000.00 USD annually

Source: Amazon · View original posting (opens in new tab)

Pay in context

This role's base floor ($166,300) is above 57% of the 45 Product roles in New Jersey listed on this site; 1 other lists the same floor. Their median floor is $154,000; the middle half runs from $136,000 to $194,225.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.

This range next to 6 other live Amazon roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Amazon roles with the nearest advertised base floor
RolePublished base
Senior Product Manager - Technical, Audible Fraud Defense (this listing)$166,300 - $225,000
Software Development Engineer, Neuron Collectives, Annapurna Labs$165,200 - $223,600
Software Development Engineer -Control Plane, AWS Scalable Intent Driven Routing (SIDR)$165,200 - $223,600
Software Engineer II - AI/ML, Neuron Inference, Neuron Inference$165,200 - $223,600
Software Dev Engineer II - AMZ27744.1$165,200 - $223,600
Machine Learning Engineer, FAI$165,200 - $223,600
Software Development Engineer, AI/ML, AWS Neuron, Model Inference$165,200 - $223,600

Same $100K to $400K scale as every card. All Amazon roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-06-30
Where this pay comes from

Location as the employer wrote it: US, NJ, Newark

USA, NJ, Newark - 166,300.00 - 225,000.00 USD annually

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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