Ricardo Giannine Teixeira
Senior Product Manager, AI/ML Products, Fintech Innovation & Growth | 10 Years Building Products at Scale
- Role
- Senior Product Manager at Prime Video & Amazon MGM Studios
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Ricardo Giannine Teixeira
Product leader bridging AI/ML innovation with fintech expertise and global scale. Currently at Amazon leading AI-powered quality systems for Prime Video, serving 200M+ subscribers and helping them to find their favorite content. Previously expanded Prime membership to new countries and led pricing and catalog expansion to a Print on Demand business. Before Amazon, I spent 5 years at Itaú Unibanco (largest bank in Latin America) as Group Product Manager, leading teams of 17+ and launching products serving 10M+ users and 0-to-1 initiatives, including a QR-code based payment method from 0-to-1. Prior to that, I spent 3 years at Intelie, a real-time analytics start up, leading marketing and sales to help large corporations in Retail, O&G, and Financial Services to drive operational efficiency through data. Core expertise- Applied AI/ML: Shipping production ML systems at scale - Fintech: Deep banking infrastructure systems knowledge - Growth & International Expansion: Launching products in new markets and scaling start ups - 0-to-1 Product Development: Taking products from concept to millions of users
Experience
Senior Product Manager
Prime Video & Amazon MGM Studios
Aug 2025 — Present · San Francisco, CA, US
Leading AI/ML-powered quality assurance systems for Prime Video\'s global UI, serving 200M+ subscribers across 240+ countries and territories.Key Achievements:• Shipping production ML models to automate quality checks on all images displayed in Prime Video\'s user interface, reducing manual QA costs while improving accuracy• Collaborating with engineers and applied scientists to design CVML/LLM systems that detect UI/UX issues at scale• Defining product strategy for AI-powered quality systems, balancing automation with human review • Optimizing correction workflows to maximize throughput while keeping a high-quality barTechnical Depth: Working hands-on with ML teams on model evaluation, training data quality, false positive reduction, and production deployment strategies for defect detection systems and correction pipelines.Impact: Protecting Prime Video\'s brand quality while scaling operations efficiently as the service grows internationally.
Education
FIA - Fundação Instituto de Administração
Graduate Program, Marketing and Analytics
2015 — 2016
Universidade Federal do Rio de Janeiro
Bachelor of Business Administration (B.B.A.), Business Administration
2011 — 2014
London Business School
Master of Business Administration - MBA
2020 — 2022
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