• Define and execute the strategic roadmap to embed AI into our core product experience, enhancing differentiation, customer value, and market leadership. • Partner with Product and Design to identify high-impact opportunities where AI can meaningfully improve user outcomes and experiences. • Establish principles and guardrails to ensure AI capabilities are trustworthy, explainable, and aligned with company values. • Lead the delivery of high-priority AI initiatives from concept through production, ensuring measurable business impact. • Architect scalable AI solutions, including leveraging third-party models, building supporting infrastructure, and ensuring reliability and performance. • Maintain a strong bias toward practical implementation, rapid experimentation, and iterative improvement. • Partner with Product, Engineering, Security, Legal, Compliance, and Data teams to align on execution, governance, and risk management. • Establish operating models, workflows, and collaboration patterns that enable safe and efficient AI adoption. • Drive clear accountability, decision frameworks, and communication across stakeholders. • Engage directly with clients and strategic partners to build trust, communicate our AI approach, and incorporate external feedback into priorities and safeguards. • Champion the use of AI to improve engineering productivity, including AI-assisted coding, test generation and developer experience improvements. • Encourage experimentation and best-practice sharing to accelerate adoption across tech teams. • Measure and communicate productivity gains and impact. • Build foundational AI capabilities and infrastructure that can be reused across teams. • Establish patterns and tooling that enable teams to safely leverage AI without duplicating effort.