- 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
- 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
- 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
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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
