Head of Lab Operations, Frontier AI & Robotics

Join Amazon's Frontier AI & Robotics team and lead the laboratory operations that enable breakthrough research in embodied intelligence. As Head of Lab Operations, you'll lead the on-the-ground teams that power our AI research programs—directing a large contractor workforce, managing our robot fleet, overseeing data collection campaigns, and ensuring our test environments give researchers and engineers the high-quality operational foundation they need to move fast. Your leadership directly shapes the velocity and quality of our AI research by keeping robots healthy, data pipelines flowing, and test environments ready to support the next wave of innovation. Key job responsibilities

• Lead, develop, and retain a 40–50 person contractor workforce spanning robot fleet operations, AI data collection, and test environment construction; establish clear performance expectations, career development pathways, and a culture of ownership, safety, and continuous improvement • Own robot fleet management end-to-end—maintain robot health and readiness, drive preventive and corrective maintenance programs, track fleet utilization and uptime KPIs, and ensure robots are mission-ready to support research and data collection operations at all times • Direct data collection operations that feed AI research pipelines; coordinate with AI researchers and data engineering teams to plan, execute, and quality-assure data collection campaigns, ensuring operational fidelity and data integrity at scale • Develop, build out, and sustain test environments and experimental infrastructure that enable researchers and engineers to evaluate robotic systems efficiently; manage test cell configuration, instrumentation readiness, and environment lifecycle from initial buildout through ongoing operations • Define, track, and report operational KPIs—including robot fleet uptime, data collection throughput, test environment availability, safety performance, and cost efficiency—using metrics to drive decisions and communicate operational health to senior leadership • Scale operational processes, standard operating procedures (SOPs), and workforce capabilities as research programs grow; build infrastructure and playbooks that maintain quality and speed as scope expands