Principal PM-T, Amazon Endpoint Guardian

Requirements

• Bachelor's degree
• 10+ years of product management experience in endpoint computing, digital employee experience, or enterprise IT product strategy
• Track record of transforming endpoint strategy at enterprise scale, moving beyond uniform device standards to workload-driven, multi-form-factor portfolios
• Track record of influencing cross-organizational roadmaps without direct authority
• Experience with OEM partnerships and hardware lifecycle management at enterprise scale
• Strong financial acumen: TCO modeling, CapEx optimization, and building investment cases tied to business outcomes
• Understanding of how AI/ML workloads are reshaping client compute requirements and endpoint form factors
• Experience balancing security requirements with employee experience at enterprise scale
• Industry expertise in endpoint experience trends: AI on the edge, device form factor evolution, context capture (conversational, visual), multi-modal input/output, zero-touch provisioning, and unified endpoint management
• Experience defining persona-based device strategies in large enterprise environments, including lifecycle management from provisioning through sustainable refresh and return
• Background in endpoint security architecture: security agent performance optimization, zero-trust endpoint posture, and compliance without exper

Additional Information

Amazon's endpoint ecosystem spans 1.5 million compute devices across laptops, tablets, virtual desktops (WorkSpaces), and mobile devices, serving a global workforce. As the endpoint evolves into an AI context surface, the portfolio will expand to include new form factors such as wearables and purpose-built AI peripherals. We are looking for a Principal Product Manager, Technical to define and own the product strategy for Endpoint Experience (EPX) across five coordinated layers: hardware, system software, applications, peripherals, and network. This is a strategic product leadership position that owns the vision of delivering the right compute, in the right form factor, for every employee persona. The right candidate thinks beyond device specifications to the full lifecycle of how employees interact with their compute environment: what form factor they receive, how it is provisioned, how it performs daily across hardware and software together, how security posture is maintained without degrading experience, how capital investment is justified against productivity outcomes, and how devices are sustainably refreshed. The role of the endpoint is changing. Traditional endpoints were devices to get work done: write code, send emails, create documents. With AI, the endpoint is becoming the primary surface through which employees interact with intelligent agents and the surface through which context is captured. Today, critical forms of communication and knowledge, especially conversational (meetings, verbal decisions, real-time discussions) and visual (whiteboarding, diagrams, physical artifacts), are not captured by traditional endpoint form factors. The Product Strategist must think beyond the laptop: what endpoint capabilities are needed to capture, process, and make available the full spectrum of employee context that AI systems require to be effective? How do form factors evolve when the endpoint is not just a productivity tool but an AI context surface? How do we maintain a strong security posture on these new form factors without compromising the experience or limiting AI capabilities? Key job responsibilities ● The holistic endpoint experience product vision across all five layers (hardware, system software, applications, peripherals, and network) for a fleet of 1.5 million devices spanning multiple form factors ● The persona-based framework that matches workload to form factor, including the total cost of ownership model that ensures every CapEx dollar is tied to a measurable productivity outcome and balances hardware investment, software optimization, and operational efficiency across the fleet ● The security-experience balance: defining how endpoint security (enforced agents, compliance posture, data protection) is delivered without degrading employee productivity, and how new AI-capable form factors maintain Amazon's security bar ● The AI strategy for endpoint evolution: how devices transform from productivity tools to intelligent context capture platforms, what new form factors, sensors, and on-device processing capabilities are needed to capture conversational and visual context that traditional endpoints miss, and how this makes AI agents fundamentally more effective ● OEM partnership strategy at Amazon's scale, influencing product roadmaps so future device generations are designed with Amazon's workforce needs built in ● The unified business case that connects hardware telemetry, software performance, security agent impact, support contact patterns, employee satisfaction, and AI workload forecasts into a single decision framework

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