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
A day in the life
As the Head of Lab Operations for FAR, you set strategic direction for the operational capabilities that drive research velocity: shaping how the organization manages its robot fleet, structures its data collection programs, and builds the infrastructure that gives researchers the freedom to innovate without friction. You are a key voice in senior leadership forums, translating operational performance into strategic insights, championing investments that build long-term organizational capability, and ensuring that lab operations function as a genuine competitive advantage. You invest in your team’s growth, forge deep partnerships with research and engineering leadership, and make the resource allocation decisions that keep FAR’s operational foundation ahead of an ambitious and fast-moving research roadmap. You define, develop, and drive improvement on key lab performance indicators to ensure we are operating at maximum velocity and efficiency.
About the team
At Frontier AI & Robotics, we're not just advancing robotics – we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.
What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence – from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.
