Principal Product Manager - Tech, Intellectual Property Protection

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 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 processing, computer vision, multimodal models, and large 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 , 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.