Software Development Manager, Devices

Software Development Manager, Devices & Services Trust CX Innovations Job ID: | Amazon.com Services LLC About the Team Amazon's Devices & Services Trust CX Innovations team is building the future of responsible AI for consumer devices. We deliver privacy‑first, accessible, and trustworthy AI experiences that millions of customers use daily across Amazon's device ecosystem—including Alexa, Echo, and other ambient computing products. Our mission is to ensure that as we push the boundaries of generative AI innovation, we maintain Amazon's high bar for customer trust, privacy, inclusion, and accessibility. Role Overview We are seeking an exceptional Software Development Manager to lead multiple engineering teams building the foundational systems and consumer‑facing features that enable trustworthy AI experiences at scale. You will partner closely with Product, Design, Legal, Policy, and Research teams to drive the technical strategy and execution for privacy‑preserving AI architectures, responsible AI frameworks, and accessibility features that set the standard for consumer AI products. This is a high‑impact leadership role where you'll build and scale engineering teams tackling complex technical challenges at the intersection of AI innovation and customer trust—balancing performance with privacy, building explainable AI systems, and creating guardrails that protect customers while enabling delightful experiences. You will be responsible for establishing technical standards, driving architectural decisions, and developing engineering leaders who can navigate the evolving landscape of AI safety and privacy. What You'll Lead Privacy‑Preserving AI Systems Drive the technical strategy for federated learning, differential privacy, and on‑device AI architectures that protect customer data while delivering exceptional experiences Lead teams building privacy‑preserving data pipelines that minimize data collection while maintaining model quality Establish consent management frameworks and data minimization systems that give customers meaningful control Architect the balance between on‑device and cloud processing to optimize for both privacy and performance at scale Responsible AI Infrastructure Build and scale teams developing AI evaluation frameworks to measure model quality, safety, and bias across diverse customer populations Drive the implementation of guardrails and safety boundaries for LLMs and foundation models in consumer applications Establish observability and monitoring systems for AI performance, hallucination detection, and trust metrics Create governance frameworks that enable rapid innovation while maintaining Amazon's trust standards Accessible & Inclusive AI Experiences Lead engineering efforts to implement WCAG 2.1 AA and Section 508 compliance across AI‑powered interfaces for voice, visual, and multimodal experiences Build teams that design accessible AI features working seamlessly for customers with diverse abilities Establish inclusive design principles and engineering practices that ensure equitable AI performance across different demographics Consumer‑Facing Trust Features Drive the development of explainable AI interfaces that help customers understand how AI makes decisions Lead teams building transparency controls showing customers what data is used and how Establish privacy dashboards and settings that give customers meaningful control over their AI experiences Architect cross‑device identity management with privacy‑first design principles Key Technical Challenges You'll Solve Latency vs. Privacy Trade‑offs: Optimize time‑to‑first‑token and response times while maintaining strong privacy guarantees through on‑device processing and selective cloud offloading AI Safety at Scale: Reduce hallucinations to