Sr. Product Manager Tech, Product Quality, Perfect Order Experience (POE)

Amazon customers expect every product they receive to be authentic undamaged and exactly as described. The Global Product Verification (GPV) team builds AI-powered computer vision and machine learning systems that detect product quality defects counterfeit expired damaged and wrong-item products before they reach customers protecting trust at fulfillment center scale.

As a Senior Product Manager-Tech for GPV you will own the product strategy and technical architecture for Amazons Unified Image Pipeline a multi-modal CV/ML system that fuses RGB imaging X-ray analysis OCR and visual similarity with confidence-based routing to automatically detect and enforce product defects across the fulfillment network. You will drive end-to-end ownership of the product quality investigation journey making architectural trade-off decisions across ML model design hardware-software integration and pipeline orchestration. You will partner with applied scientists software engineers hardware teams and operations stakeholders to define the technical vision prioritize capabilities and ship solutions that reduce product condition complaints for hundreds of millions of customers worldwide. This role offers the opportunity to shape how Amazon verifies product authenticity and condition at global scale through AI/ML systems.

Key job responsibilities
1. Own the technical product vision and multi-year roadmap for GPVs CV/ML defect detection portfolio including the Unified Image Pipeline mobile investigation tools authentication systems and product quality trust signaling
2. Make architecture-level trade-off decisions across ML model design (CNN embeddings multi-modal fusion confidence routing) imaging modalities (RGB X-ray OCR) and hardware-software co-development
3. Define confidence-based enforcement frameworks that translate ML model outputs into automated product decisions at scale (auto-enforce human-in-the-loop log-only thresholds)
4. Drive buy vs. build decisions for authentication technology evaluating external licensing against proprietary ML hardware approaches based on capability assessment and data risk analysis
5. Own input and output metrics (TPR AHT auto-resolution rates complaint reduction GMS unlock) and build data-to-product-decision architectures that link model performance to customer outcomes
6. Collaborate with applied scientists SDEs hardware engineers operations legal and business stakeholders to deliver solutions that reduce 347M annual product condition complaints
7. Develop product plans with clear measurable success criteria phased rollout strategies and mechanisms to communicate progress against the roadmap to senior leadership


- Experience overseeing roadmap strategy and definition throughout the product life cycle from concept to end of lifecycle
- Experience contributing to the architecture and design (architecture design patterns reliability and scaling) of new and current systems or experience as a mentor tech lead or leading an engineering team
- Bachelors degree or BS degree
- Experience contributing to engineering discussions around technology decisions and strategy related to ML/AI products
- Experience managing technical products involving computer vision machine learning or data pipeline systems
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning

- Masters degree in engineering statistics computer science mathematics or a related quantitative field
- Experience in creating products and services with hardware and software integrated
- 7 years of technical product or program management experience in CV/ML image processing or AI-powered quality systems
- Experience with multi-modal ML systems confidence calibration or human-in-the-loop architectures
- Experience developing and deploying AI products at fulfillment or supply chain scale
- Experience with authentication technology product verification or trust & safety systems

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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 151200.00 - 204600.00 USD annually