AmazonPosted 4w ago

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

Sr. Product Manager Tech, Product Quality, Perfect Order Experience (POE) at Amazon scores 65 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

US, WA, Seattlefull-time$151k-$205k

AI in this role

computer-vision

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
1. 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
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

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 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 - 151,200.00 - 204,600.00 USD annually

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Skills and AI tools this role asks for

Computer Vision

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
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