Sr. Technical Product Manager, Trust CX Innovations

Description

Trust depends on two things being true at once: that every piece of customer data is governed, controlled, and provably compliant, and that the organization can move fast enough to keep up as products become agentic and ambient. TCI's AI Enablement & Data Governance charter owns both. On the data side, we make data classification, handling, and retention enforceable and provable rather than asserted. On the enablement side, we build the AI-driven automation and internal products that take operational load off the whole organization, so builders spend their time creating trust instead of maintaining it by hand.

We are looking for a Senior Product Manager - Technical to own the product vision and roadmap for this work. You will define the internal products, paved paths, and automation that make data governance provable and that measurably reduce operational burden across every charter. You will translate a broad, ambiguous mandate into a clear product strategy, decide what to build and in what order, and turn it into shipped capabilities that other teams adopt because they are genuinely better and faster. This is a technical product role: you will operate close to data systems, enforcement mechanisms, and AI automation, and you will be expected to reason about the architecture and trade-offs, not just the surface. You will work across engineering, science, product, privacy, and legal, and you will influence teams beyond your own to adopt the standards you set.

Key job responsibilities
- Own the product vision, strategy, and multi-year roadmap for the charter's data governance and AI enablement products.
- Define the internal products and paved paths that make data classification, handling enforcement, and retention provable, and make adopting them the easy default for other teams.
- Own the product direction for AI-driven automation that reduces operational burden across charters, and define how its impact on capacity is measured.
- Write the narratives and requirements that align leadership and partner teams, and represent the charter in cross-organization reviews.
- Partner with engineering and science to make build-versus-adopt and automation trade-offs, and to hold governance and compliance guarantees as product requirements rather than afterthoughts.
- Prioritize ruthlessly across a broad surface, balancing compliance obligations, operational-efficiency gains, and partner-team needs.
- Define and track the metrics that prove governance is enforceable and that automation is actually returning capacity, and use them to steer the roadmap.
- Partner with privacy and legal to translate obligations into product requirements that builders can adopt by configuration.
- Influence and align teams beyond your own to build to the standards and paved paths you define.

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

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