As a Technical Program Manager for Reinforcement Learning (RL) Infrastructure & Reliability, you will focus on a critical, rapidly evolving area: the post-training stack that refines and improves Gemini models. You will be a hands-on driver of technical programs, embedding with engineering teams to enhance the reliability, performance, and scalability of the infrastructure that powers our most advanced RL workloads. This role is for a TPM who thrives on ambiguity and technical depth. You will lead concrete engineering initiatives, from driving performance optimization programs to owning the execution of reliability roadmaps. Your work will have a direct and measurable impact on the quality of our models and the velocity of our research.