The leader must remain deeply grounded in hands-on product and engineering judgment - including the expectation to stay actively involved in coding, code review, prototyping, AI-assisted development, internal developer platforms, vendor platforms, and modern engineering practices - while expanding accountability to product vision, organizational design, talent enablement, stakeholder management, budget ownership, vendor governance, and delivery outcomes at scale. You are expected to stay close enough to the work to write and review code when needed, build prototypes, validate AI-generated output, understand product tradeoffs, assess technical risk, influence architectural direction, and improve delivery flow - while leading through leaders, creating clarity across teams, and building the systems that allow autonomous pods to move faster, safer, and with greater accountability.