We are seeking a highly skilled Product Manager to lead the design, development, and optimization of data infrastructure and analytics solutions across our supply chain and enterprise systems. This role bridges deep technical expertise in data engineering with functional knowledge of supply chain operations, ERP platforms, and GenAI-driven automation.
Key job responsibilities
- Define and communicate a compelling product vision and strategy, translating customer needs and market insights into a prioritized roadmap that balances short-term delivery with long-term architectural integrity.
- Partner with engineering and design teams to develop functional and non-functional requirements, evaluate technical trade-offs around scalability, performance, and extensibility, and ensure high-quality product solutions ship on time.
- Drive cross-functional alignment across engineering, science, design, finance, marketing, and operations to deliver cohesive customer experiences and resolve dependencies across teams.
- Identify opportunities to integrate generative AI capabilities into product workflows, evaluate outputs critically, and apply responsible AI practices to accelerate development and unlock new forms of value for customers.
- Define success criteria and key performance indicators, analyze usage data and customer behavior to inform decisions, and own product performance before and after launch to drive continued adoption and improvement.
A day in the life
What You'll Do
• Design and maintain scalable data pipelines and warehouse architectures
• Build and optimize QuickSight dashboards for operational and executive reporting
• Develop and manage integrations between ERP, EDI, WMS, and 3PL systems
• Apply GenAI capabilities to automate reporting, detect anomalies, and improve data quality
• Partner with supply chain, operations, and finance teams to deliver data-driven insights
Own the end-to-end data architecture from source systems through to analytics and visualization
Basic qualifications
- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- Experience in an operational environment developing, fast-prototyping, piloting and launching analytic products
- Experience in building and driving adoption of new tools
- Experience performing statistical analysis of data using SQL, Excel and other tools
- Experience with end to end product delivery
Preferred qualifications
- Experience with feature delivery and tradeoffs of a product
- Experience bridging technical and business teams to collect and refine requirements, prioritize incoming work requests, and ensure all committed work is delivered on time
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 - 151,200.00 - 204,600.00 USD annually
