Partner with Product, Architecture, and business leaders to translate product and business priorities into technical plans, prioritize engineering work, and balance capacity and resources across teams and initiatives; make informed tradeoffs across delivery commitments and technical investments, including build/buy/partner, vendor, and model decisions. Lead, hire, develop, and scale AI engineering teams and technical leaders supporting multiple use-case pods and shared platform capabilities (e.g., marketing creative generation, AI product experiences, agentic distribution, enterprise workflow automation), setting clear expectations, providing ongoing coaching and feedback, managing performance, career growth, and leadership development.