Machine Safety Automation Technical Program Manager, Global Safety Engineering

The Workplace Health and Safety (WHS) organization builds the next generation of technology-enabled safety solutions, leveraging automation and AI-driven predictive modeling to proactively identify and eliminate machine-related risks across a global network. We seek a Machine Safety Automation Technical Program Manager (TPM) to lead the development and execution of a multi-year safety automation and intelligence roadmap. This role shapes how data, engineering, and operations work together to move from reactive incident management to proactive risk prevention at scale. You will define and drive a machine safety automation roadmap that integrates AI-driven insights, engineering systems, and operational execution into scalable solutions. You will operate at the intersection of safety engineering, automation, and operations, translating risk signals into technical strategies that embed safety into Amazon’s systems and infrastructure. This is a high-impact role where your decisions influence safety outcomes across Amazon’s global network, spanning automation systems, equipment design, and operational execution Key job responsibilities Manages and drives the machine safety automation strategy by developing and executing a multi-year roadmap that integrates AI-driven insights, engineering systems, and operational execution to proactively reduce machine-related risk across the network. Leads the development of machine incident intelligence and predictive risk models that enable a shift from reactive analysis to proactive hazard detection, prioritization, and intervention. Operates at the center of complex cross-functional programs, partnering with safety, engineering, and operations teams to translate machine risk insights into scalable technical solutions, standards, and deployment models. Drives stakeholder alignment, manages program execution, and ensures delivery from concept through pilot readiness, validation, and full-scale deployment. Establishes governance mechanisms that provide visibility into program health and prevention-through-design execution, including tracking risk identification, mitigation actions, and closure effectiveness alongside safety outcomes such as Machine Recordable Injury Rate (RIR) and Serious Injury Rate (SIR). Defines and tracks success metrics to enable data-driven decision-making and continuous improvement across programs. Partners closely with hardware, software, and automation engineering teams to ensure safety is designed into systems from the outset. Influences technical design decisions, identifies operational and engineering risks early, and drives mitigation strategies across multiple stakeholders. Builds and scales reusable mechanisms—including frameworks, standards, and processes—that embed safety into automation programs, enabling consistent execution and long-term scalability across regions and business units. A day in the life This role is primarily focused on scaling machine safety through automation, data, and engineering execution. You will begin your week analyzing network-level safety trends and AI-driven insights to identify emerging risks and prioritize intervention opportunities. You will partner with engineering and operations leaders to align on automation initiatives, translating safety requirements into technical specifications and scalable deployment plans. Throughout the week, you will lead program reviews, manage cross-functional execution, and ensure milestones are tracked across multiple workstreams. You will also work closely with hardware and software engineering teams to validate system safety, reliability, and operational readiness, while shaping long-term strategy through roadmap planning and executive updates. At times, you will step into ambiguous or high-visibility escalations where decisions have network-wide impact.

Our mission is to pioneer innovative safety solutions that protect people and enable operational excellence through