Sr. Technical Program Manager, Catalog Data Quality, Catalog System Services

Amazon Inc.; Seattle (WA); On-site; USD 149,000 - 201,000; Full time

Benefits offered by this job

Health insurance

RSU/Stock options

401(k) matching

Job summary

Amazon Inc. leads a team within the Catalog Data Quality group to transform quality measurement and governance for Amazon's product catalog at scale.

You will define architectures for data quality pipelines, drive GenAI-enabled improvements, and align cross-functional teams across Selling Partner Experiences, Category teams, and engineering groups. The role emphasizes program management, technical leadership, and collaboration with applied scientists to deploy LLMs and autonomous agents for

Qualifications

• 7+ years of working directly with engineering teams
• 5+ years of technical product or program management
• 3+ years of software development experience
• 5+ years of technical program management with software teams
• Experience coordinating cross-functional release schedules and governance

Responsibilities

• Define technical requirements and architectures for quality pipelines across billions of products
• Develop quality strategies for GenAI model selection to maximize data quality
• Drive cross-team execution across multiple partner teams and engineering groups
• Create implementation plans and resource estimates for catalog quality initiatives
• Establish dashboards and visibility for quality metrics and delivery timelines
• Coordinate escalations and communicate revised plans when risks materialize

Skills

Engineering collaboration

Program management

Software development

Cross-functional leadership

Technical PM

Tools

GenAI tech stack

LLMs

Autonomous agents

AWS infrastructure

Job description

Job ID: 10555653 | Amazon.com Services LLC

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.

Key job 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

A day in the life

• Review quality metrics dashboards and identify trends across priority product categories
• Lead cross-functional working sessions with Category teams, Applied Science, and engineers on GenAI model tuning and quality improvements
• Attend daily stand-ups and track progress on quality capability rollouts
• Collaborate with engineering managers to estimate effort and align on implementation timelines
• Prepare executive briefings on program status, quality improvements, and customer experience gains
• Facilitate technical escalation meetings to resolve cross-team design disagreements
• Review technical design documents and ensure alignment with customer experience priorities
• Update program trackers with milestone completions and communicate status to stakeholders
• Sync with Selling Partner Experiences teams on seller feedback patterns and recommendation effectiveness

About the team

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.

Basic Qualifications

• 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

Preferred Qualifications

• 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

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 - 148,700.00 - 201,200.00 USD annually