Sr. Technical Product Manager, Trust CX Innovations

Key job responsibilities

• Own product roadmap and feature priorities for trust, privacy, accessibility, and responsible AI initiatives across Amazon's device ecosystem
• Drive architectural vision for privacy-preserving features, accessibility standards, and RAI frameworks while maintaining engaging customer experiences
• Partner with AI, Product, and Engineering teams to define and implement responsible technology guardrails and accessibility compliance
• Collaborate with legal, policy, and accessibility teams to ensure compliance with evolving technology regulations and standards
• Own key customer experience, trust, accessibility, and RAI metrics, developing strategies to continuously improve them
• Design and implement privacy controls, accessibility features, and AI governance mechanisms across multiple device categories
• Work backwards from customer trust, accessibility, and safety needs to define product requirements and user experiences

About the team

Who We Are:
Trust CX Innovations is a strategic innovation team within Amazon Devices & Services that focuses on advancing AI technology while prioritizing customer trust and experience. Our team operates at the intersection of artificial intelligence, privacy engineering, and customer-centric design.

Our Mission:
To pioneer trustworthy AI innovations that delight customers while setting new standards for privacy and responsible technology development. We aim to transform how Amazon builds AI products by creating solutions that balance innovation with customer trust.

Basic Qualifications

• Bachelor's degree
• 5+ years of end to end product delivery experience
• Experience contributing to engineering discussions around technology decisions and strategy related to a product
• Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
• Experience owning/driving roadmap strategy and definition
• Experience in regulatory frameworks and policy analysis methodologies
• Experience delivering large, cross-functional, customer facing products
• Experience with explainable machine learning and artificial intelligence methodologies and tools
• Experience analyzing data to make business decisions

Preferred Qualifications

• Master's degree in Computer Science, Computer Engineering, or related fields
• Advanced knowledge of AI/ML systems, AI model evaluation frameworks, and responsible AI implementation
• Deep understanding of privacy technologies (differential privacy, federated learning, etc.)
• Experience with accessibility technologies and standards (WCAG, Section 508, ADA compliance)
• Knowledge of global privacy regulations (GDPR, CCPA, etc.) and accessibility compliance requirements
• Experience with large-scale distributed systems and their privacy/accessibility implications