• Lead and scale the Infrastructure / Core Platform domain, managing multiple teams responsible for cloud infrastructure, internal platforms, reliability, and core services. • Enable AI-first product delivery at scale by providing robust foundations for LLM workloads, agentic systems, data pipelines, model evaluation, and secure model serving. • Set a clear technical and operational vision for infrastructure that balances reliability, velocity, security, and cost. • Partner closely with Product, Security, and Engineering Leadership to align platform investments with business and product strategy. • Drive operational excellence: availability, incident management, capacity planning, disaster recovery, and clear SLOs. • Establish and evolve platform standards for CI/CD, observability, infrastructure-as-code, service ownership, and developer experience. • Lead teams responsible for cloud cost management, performance optimization, and scalability, especially as AI workloads grow. • Coach and develop senior+ Infrastructure engineers, setting clear expectations and growth paths, while raising the overall talent bar through strong hiring, onboarding, and succession planning. • Guide teams through change and ambiguity, including fast-evolving AI infrastructure needs and shifting organizational priorities. • Contribute to org-wide engineering strategy, planning, and execution as a senior member of the engineering leadership team. • Own strategic relationships with key Infrastructure and SaaS vendors, including contract negotiations and amendments, usage and spend oversight, roadmap alignment, and evaluation of new capabilities as platform needs evolve. • Partner closely with Finance and Procurement to lead cloud cost management and optimization, including cost allocation, forecasting, budgeting, and governance models that scale sustainably with growing AI workloads.