Manage multiple teams of research scientists and engineers working on AI for wearables and health, including post-training, sensor fusion, and biometric modeling Define and drive the research strategy and roadmap for AI-powered health and wearables experiences, setting goals informed by team insights, emerging health AI literature, and Meta's product priorities Maintain technical engagement across teams by evaluating research and product direction and quality, contributing directly to experimental design, model architecture decisions for on-device deployment, and publication strategy Partner cross-functionally with MSL, product, UXR, and data science teams to translate health and wearables AI advances into measurable improvements across Meta's devices Recruit, develop, and retain research scientists and research leaders with expertise in health AI, wearable computing, physiological signal processing, and on-device machine learning Proactively identify and resolve execution risks across research projects, including experimental bottlenecks, compute and power constraints for wearable devices, and alignment between research outputs and health product requirements Champion a team culture that values scientific rigor, reproducibility, responsible AI practices, and privacy-conscious approaches to health data Hold research leaders accountable for performance, scientific depth, and cross-functional engagement, providing consistent and constructive feedback Communicate research priorities, trade-offs, and strategic implications clearly to leadership, maintaining a perspective on key advances in health AI and wearable computing