• Lead, grow, and scale multiple AI-native engineering teams (AI Pods), developing managers and senior engineers
• Define and drive the AI-native engineering strategy, standards, and best practices across the organization
• Own end-to-end delivery across teams — from problem definition to production — ensuring alignment with business goals
• Partner with Product, Design, Data, and business stakeholders to shape high-impact solutions and prioritize initiatives
• Establish and enforce high standards for architecture, scalability, reliability, and code quality
• Drive adoption of AI-first development methodologies, tools, and workflows across R&D
• Build and scale evaluation, monitoring, and observability frameworks as a core part of system design
• Act as a senior technical authority — guiding architecture decisions and mentoring engineers and managers
• Define and evolve the operating model for AI Pods, including ownership, autonomy, and delivery practices
• Build a strong engineering culture focused on accountability, ownership, continuous improvement, and excellence
• Hire, develop, and retain top engineering talent, building a high-performing and inclusive organization