Principal Product Manager - Tech, Intellectual Property Protection

Company: Amazon
Location: Seattle
Posted on: April 4, 2026

Job Description:

Every day, millions of brands, sellers, and customers rely on Amazon’s marketplace integrity. The Intellectual Property Protection (IPP) team’s vision is to build a world free of counterfeits and infringing products—where customers feel confident in every purchase and brands can safely grow their businesses. Our team designs and operates large-scale, machine learning–driven systems that detect, evaluate, and remediate problematic content across Amazon’s global catalog. We are seeking a highly technical, high-judgment Principal Product Manager – Tech to lead the next generation of ML-powered detection and automated enforcement systems. This role will own end-to-end product strategy for large-scale machine learning infrastructure spanning natural language processing, computer vision, multimodal models, and large language model–powered systems. These systems operate across billions of listings worldwide and must perform with high precision, durability, and measurable business impact. This is a deeply ML-centric role. You will be responsible for scaling production machine learning platforms across multiple marketplaces and languages, driving sustained improvements in precision and recall at global scale, and making high-impact tradeoff decisions that balance automation, operational cost, customer trust, and brand protection. You will define rigorous evaluation methodologies, design benchmarking and experimentation frameworks, establish and maintain golden datasets, and ensure models move from research to secure, scalable production systems. A core focus of this role is the productionization of Generative AI and agentic solutions in the IP infringement domain. You will move advanced GenAI capabilities beyond experimentation into durable, high-throughput systems that operate reliably in high-sensitivity environments. This includes partnering directly with applied scientists to understand model limitations, evaluate failure modes, and determine when to prioritize performance gains versus operational stability and risk management. The ideal candidate has led ML platform initiatives at enterprise or marketplace scale. You are comfortable operating at the intersection of science, engineering, and executive business strategy. You understand how to translate ambiguous abuse patterns into precise model requirements, how to evaluate model performance rigorously, and how to make principled deployment decisions that scale safely across large organizations. Key job responsibilities As a Principal Product Manager – Tech, you will: • Define and drive the multi-year technical product strategy for large-scale machine learning systems that detect and remediate problematic content across billions of listings globally. • Own end-to-end ML platform initiatives, from ambiguous problem definition through model evaluation, deployment, and global scale-out. • Establish precision and recall targets tied directly to customer trust, brand protection, and operational efficiency outcomes. • Design and implement rigorous benchmarking frameworks, golden datasets, and experimentation pipelines to measure model performance and durability. • Lead the productionization of Generative AI and agentic systems, moving advanced LLM-powered capabilities from prototype to secure, high-throughput production services. • Make high-judgment deployment decisions, balancing model performance gains with system stability, false positive risk, and business impact. • Partner deeply with applied scientists and engineers to understand model limitations, failure modes, and tradeoffs across NLP, computer vision, and multimodal systems. • Drive architectural decisions that enable automation-first enforcement while reducing manual operational burden at scale. • Translate complex abuse patterns and emerging threat vectors into technically precise requirements that engineering teams can build against. • Influence executive leadership by clearly articulating ML performance tradeoffs, risk exposure, and long-term platform investment strategy. A day in the life In this role, you’ll lead large-scale machine learning systems that protect customers and brands across billions of listings worldwide. A typical day might include reviewing model performance with scientists, debating precision and recall trade-offs, refining benchmarking frameworks, or deciding whether a new generative AI capability is ready for global rollout. You’ll partner closely with engineers, data teams, and policy stakeholders to move models from experimentation into stable production systems. You’ll translate ambiguous abuse patterns into measurable ML requirements and present clear, data-backed recommendations to senior leaders. The work is technical, high-judgment, and focused on building durable AI systems that operate reliably at global scale. About the team The Intellectual Property Protection (IPP) team is at the forefront of Amazon’s efforts to ensure that customers can shop with confidence and that brands and sellers can thrive on a fair, trusted platform. Every day, millions of customers rely on Amazon to deliver authentic products—while millions of sellers and brands trust Amazon to protect their rights and reputations. Our mission is to detect, prevent, and remediate IP violations at scale, balancing brand protection with fair treatment for sellers and a seamless experience for customers. Our solutions range from advanced machine learning systems that detect bad actors to scalable enforcement tooling and messaging systems that support transparency and fairness. We work across legal domains (trademark, copyright, patent, design rights) and geographies, navigating complex regulatory environments while maintaining a relentlessly customer-obsessed lens. - 8 years of technical product or program management experience - Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience technical product management - Experience with end to end product delivery - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience leading cross-organizational programs and setting and holding teams and individuals to timelines and deliverables without explicit authority - Experience as a strong leader who can prioritize well, communicate clearly and effectively influence across cross-functional teams - Experience with feature delivery and tradeoffs of a product - Experience working directly with Engineers on product enhancements - Experience in project management methodologies, business analysis, or process improvement - Master’s Degree in Computer Science, AI/ML, or related technical field - Experience with large-scale ML systems and model deployment - Deep understanding of security, fraud detection, or abuse prevention technologies - Demonstrated ability to successfully influence stakeholders without formal authority, leading cross-functional teams across business units - Experience in building and driving adoption of new technical solutions - Experience representing and advocating for various stakeholders during executive-level prioritization and planning - Experience contributing to engineering discussions around ML architecture decisions and strategy - Understanding of global intellectual property protection challenges and regulatory landscape - Experience designing friction-reducing experiences for sellers and developing appeal or remediation pathways - Familiarity with Amazon Selling Partner tools and seller-facing product lifecycles 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, WA, Seattle - 179,900.00 - 243,400.00 USD annually

Keywords: Amazon, Auburn , Principal Product Manager - Tech, Intellectual Property Protection, Engineering , Seattle, Washington