Jobs
Benefits & Perks
•Flexible work arrangements
•Professional development budget
•401(k) matching
•Generous paid time off and holidays
•Comprehensive health, dental, and vision insurance
•Flexible Hours
•Learning
•Healthcare
Required Skills
Node.js
Python
PostgreSQL
The future of ecommerce product data is being rewritten with Generative AI—and Amazon's Catalog Systems are at the center of it. Our team is re-envisioning how Amazon builds, enriches, and evaluates product data at scale. We're using foundation models, multimodal LLMs, and autonomous evaluation systems to transform the way customers discover, compare, and purchase products.
As a Sr. Technical Program Manager in the Catalog Systems organization, you will own the technical execution and strategy for product data enrichment workstreams. You will be responsible for ensuring predictability and transparency for any users who want to enrich product data, developing enrichment strategies that maximize ROI while maintaining high-quality product data. You will translate business requirements into detailed technical specifications and coordinate the design, development, testing, and deployment of GenAI-powered enrichment 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 enrichment tasks. You will establish robust technical requirements around latency, performance, and quality metrics, create implementation plans that span multiple systems, and ensure seamless integration of enrichment pipelines into Amazon's catalog infrastructure. If you are excited by the challenge of bringing GenAI enrichment capabilities to production at global scale, this role offers an opportunity to shape the technical foundation of Amazon's next-generation product data systems.
Key job responsibilities
1. Technical Requirements & Architecture: Convert business requirements into detailed technical specifications, defining performance standards and system architectures that enable parallel team execution.
2. Enrichment Strategy & Model Selection: Develop enrichment strategies that determine optimal model selection for specific tasks to maximize ROI and quality.
3. Cross-Team Coordination & Execution: Create and track project milestones across teams while serving as the primary technical contact to resolve ambiguities and remove blockers.
4. Implementation Planning & Resource Estimation: Identify system changes needed, estimate effort with development managers, and create multi-team implementation timelines.
5. Predictability & Transparency: Establish visibility mechanisms that provide stakeholders clear insight into enrichment pipeline status, performance, and delivery timelines.
6. Technical Escalation & Risk Management: Coordinate technical escalations, facilitate resolution of design disagreements, and communicate revised plans when risks materialize.
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
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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
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Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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