Sr. Manager of Applied Science - Catalog Services, Product Knowledge GenAI

About the role

The Catalog Services Product Knowledge team is seeking a Sr. Applied Science Manager to lead initiatives for understanding and scaling organization of product schema information. The vision is to build AI systems capable of deep product understanding to organize and scale the catalog metadata (schema) for Amazon's e-commerce catalog worldwide.

Responsibilities

• Manage business and technical requirements, design, be responsible for the overall coordination, quality, productivity and will be the primary point of contact for worldwide stakeholders of programs and goals that you lead.
• Partner with scientists, economists, and engineers to help deliver scalable ML scaled models, while building mechanisms to help our customers gain and apply insights, and build roadmaps for the projects you own.
• Track service levels and schedule adherence, and ensure the individual stakeholder teams meet and exceed their performance targets.
• Be expected to discover, define, and apply scientific, engineering, and business best practices.
• Manage and develop Applied Scientists (direct reports with a respective team).

About the team

The team's mission is to infer knowledge, understand, and derive product schema for all Amazon products entering the Catalog. The work is critical to power drive policies on how products will be merchandised, guide Selling Partners, inform models how to infer attributes. All this information drives the navigational Taxonomy, Search and Detail Page experiences, impacting millions of customers. This is an already formed team with experience leading programs spanning services and ML initiatives. The leader collaborates closely with Software Managers, Sr. Leaders, and has exposure to multiple peer teams at Amazon who rely on this team's developments.

Qualifications

• 10+ years of building large-scale machine learning and AI solutions at Internet scale experience
• Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
• Experience managing and quantifying improvements in customer experience or value for the business resulting from research outcomes
• Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track