Sr. TPM, GenAI, Catalog Systems

Benefits

Parental leave

6 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

6 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Offered From the posting source checked Jun 20, 2026
• Adoption assistance: Offered From the posting source checked Jun 20, 2026
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

Not verified

Childcare support

Offered From the posting source checked Jun 20, 2026

Learning budget

Not verified

Verification

Source-linked checked Jun 7, 2026

Salary

$164K-$221K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$102,662 U.S. median for this role

Projected growth (BLS Employment Projections)

+5.4% - Faster than average

87% above the BLS role benchmark for product management aggregate.

Matched to SOC 11-1021 - Product Management aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Product From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Sr. TPM, GenAI, Catalog Systems New York, New York, USA 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 Ads Nova 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 new data sources into Amazon Ads' AI training pipelines. 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,

Read the full description at www.amazon.jobs. FewerJobs shows a preview and links to the original posting.