Sr. Technical Program Manager, Catalog Data Quality, Catalog Systems

Amazon • Seattle, WA

1d

About The Position

The future of ecommerce product data is being rewritten with Generative AI—and Amazon's Catalog Data Quality organization is leading a fundamental transformation in how we manage product information at scale. Our team is re-envisioning how Amazon measures, validates, and improves product data using foundation models, multimodal LLMs, and autonomous agent systems to transform the way customers discover, compare, and purchase products. As a Sr. Technical Program Manager, you will own the technical execution and strategy for data quality initiatives that ensure Amazon's catalog is complete, correct, and consistent across billions of products and variations. You will translate business requirements into detailed technical specifications and coordinate the design, development, testing, and deployment of GenAI-powered quality capabilities across multiple engineering teams. You will work closely with applied scientists, software development managers, engineers, and product managers to define how models are selected and deployed for various quality measurement and improvement tasks. You will establish robust technical requirements around accuracy, performance, and quality metrics, create implementation plans that span multiple systems, and ensure seamless integration of quality pipelines into Amazon's catalog infrastructure. This role offers a rare opportunity to shape the technical foundation of Amazon's next-generation catalog systems while working at the intersection of GenAI innovation and massive-scale distributed systems. If you're excited by the challenge of deploying autonomous AI agents to improve data quality across billions of products and variations and deliver a better customer experience, this is the role for you.
The Catalog Data Quality team (COMPASS) is the foundational infrastructure team within Catalog System Services (CSS) that builds the measurement, validation, feedback, and learning systems essential for maintaining Amazon's catalog quality at unprecedented scale. We are the navigational framework that ensures every enrichment, every data ingestion, and every seller contribution moves Amazon's catalog toward complete, correct, and consistent product information for hundreds of millions of customers worldwide. Our Mission: Build the measurement, validation, feedback, and learning infrastructure that guides Amazon's catalog toward sustained excellence—empowering teams and selling partners with the tools, transparency, and intelligence needed to deliver trustworthy product information at unprecedented scale. What We Do: Measure catalog quality across hundreds of millions of products, providing metrics and insights that drive improvement Validate enrichments and contributions before they enter the catalog, preventing defects at the source Power feedback systems that give selling partners and internal teams rapid, transparent, actionable insights Build learning infrastructure that enables continuous improvement through intelligent feedback loops and GenAI-driven insights Provide federated frameworks that other teams leverage to build their own quality innovations Our Technology Stack: We leverage GenAI technologies including Large Language Models (LLMs), multimodal AI systems, and autonomous agent architectures deployed on AWS infrastructure. Our systems span the full quality lifecycle: measurement, detection, AI-powered correction, quality evaluation guardrails, and seller communication platforms. Our Impact: For Customers: Accurate, complete, and consistent product information that increases purchase confidence For Selling Partners: Transparency, self-service tools, and actionable recommendations to improve their catalog contributions For Amazon: Preventing catalog defects, enabling better product discoverability, reducing operational costs, and driving revenue through higher-quality shopping experiences Our Culture: We maintain a high bar for operational and software engineering excellence while fostering a collaborative and supportive environment. We work closely with applied scientists, engineers, product managers, category experts, and business stakeholders across Selling Partner Experiences, Category teams, and Relationship Processing teams. We partner closely with AI-driven enrichment teams to create a complete quality ecosystem—while they enrich, we ensure those enrichments are validated, measured, and continuously improved.

Requirements

• 7+ years of working directly with engineering teams experience
• 5+ years of technical product or program management experience
• 3+ years of software development experience
• 5+ years of technical program management working directly with software engineering teams experience
• Experience managing programs across cross functional teams, building processes and coordinating release schedules
• 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
• Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
• Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership

Responsibilities

• Define technical requirements and system architectures for quality measurement, detection, and correction pipelines across billions of products
• Develop quality strategies that determine optimal GenAI model selection to maximize data completeness, correctness, and consistency
• Drive cross-team execution across Selling Partner Experiences, Category teams, Relationship Processing, and engineering teams
• Create implementation plans and resource estimates for catalog quality initiatives
• Establish visibility mechanisms and dashboards that provide stakeholders clear insight into quality metrics, defect resolution rates, and delivery timelines
• Coordinate technical escalations, facilitate resolution of design disagreements, and communicate revised plans when risks materialize
• Partner with applied scientists to define how LLMs and autonomous agents are deployed for quality improvement at scale

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed