At Amazon, we’re working to be the most customer-centric company on earth. To help us get there, we're seeking a Senior Product Manager to lead the development and execution of a new supplier intelligence service within Amazon's Global Corporate Procurement (GCP) organization.

As the product owner, you will be at the forefront of integrating advanced AI and machine learning technologies into our procurement processes. Your mission is to create a seamless, intelligent system that empowers category managers with real-time, actionable insights on suppliers, enabling faster, more informed decision-making.

This role requires a unique blend of technical acumen, product vision, and business savvy. You'll be expected to navigate complex stakeholder relationships, drive collaboration, and make data-driven decisions that significantly impact Amazon's procurement strategy.

This Product Manager in this role will benefit from technical expertise in AI/ML and data architecture, combined with strong business acumen in procurement processes. You'll be working with a complex stakeholder landscape including leadership, category managers, and technical teams while managing integration with existing procurement systems.

The impact of this role is significant - you'll be building a solution that directly influences billions in annual procurement spend, while setting the foundation for future expansion to other sourcing teams and business units across Amazon.

Key job responsibilities
- Define product strategy, execute roadmap, and align development with business goals while collaborating across functions.
- Lead the integration with internal applications, focusing on creating an intuitive search experience that reduces research time through AI-powered insights.
- Introduce and launch new features that integrate supplier intelligence into standard procurement processes.
- Craft a user experience that integrates smoothly into both existing and future workflows.
- Own the technical vision for key components, including search capabilities, data integration, and future integration with other applications.
- Partner with cross-functional teams, data science, and engineering to deliver a robust solution that meets strict accuracy, data quality, and performance requirements.