This job is closed
Applications are no longer available for this announcement. Explore current related opportunities below.
Job description
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 Amazon's 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
Own the technical product vision and multi-year roadmap for GPV's CV/ML defect detection portfolio, including the Unified Image Pipeline, mobile investigation tools, authentication systems, and product quality trust signaling
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
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)
Drive buy vs. build decisions for authentication technology, evaluating external licensing against proprietary ML + hardware approaches based on capability assessment and data risk analysis
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
Collaborate with applied scientists, SDEs, hardware engineers, operations, legal, and business stakeholders to deliver solutions that reduce 347M+ annual product condition complaints
Develop product plans with clear measurable success criteria, phased rollout strategies, and mechanisms to communicate progress against the roadmap to senior leadership
Basic Qualifications
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
Bachelor's 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
Preferred Qualifications
Master's 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 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 .
USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually
#J-18808-Ljbffr
Worksite address
seattle, WA, 98127, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.