• Leads the strategy, development, delivery, and optimization of customer-facing digital platforms, applications, and experiences • Drives measurable improvements in customer acquisition, funnel conversion, and overall customer experience outcomes • Establishes performance objectives, operational metrics, and accountability standards • Implements AI, automation, and modern engineering practices to improve productivity and delivery velocity • Develops and executes engineering transformation roadmaps • Builds and maintains a high-performance engineering culture • Partners with Product Management leadership • Communicates technology initiatives, organizational performance, and business outcomes clearly • Evaluates emerging technologies for competitive advantage

• Drive Global Engineering Delivery by executing across a distributed team • Balance Planned vs. Reactive Work by establishing clean frameworks • Own Incident Management & On-Call • Architect Asynchronous Workflows to minimize real-time meetings • Own Delivery Metrics (DORA) • Champion AI-Augmented Engineering by optimizing team usage of AI tools • Global People Management & Team Health

• Lead, mentor and support a large cadre of experienced engineering individuals overseeing teams across the US, Canada, UK, Australia and New Zealand • Own product intent, portfolio priorities, and trade-off decisions across assigned product lines, acting as the accountable voice for both engineering and product outcomes • Devise and apply communications strategies to align a global, cross-functional workforce around product and delivery goals • Engage stakeholders to reconcile strategic, commercial, and technical priorities - translating customer signal into product direction • Assemble and monitor high-performance, multidisciplinary engineering teams • Set objectives, monitor performance, promote communication, and ensure the well-being of direct reports • Support administrative tasks to ensure timely processing of actions affecting direct reports • Define and guard product intent - establishing what each product is, what it is not, and who it is for - and restate this when scope pressure arises • Collaborate with team leads to review high-level architecture, internal project goals, and technical barriers • Partner with stakeholders to refine project priorities and adapt deliveries based on evolving market and customer requirements • Analyze program requirements and develop effort estimates in conjunction with program management partners • Maintain depth in respective disciplines and contribute to ongoing software projects in research, engineering, or quality assurance

• Transform and scale engineering organization into a predictable, elite execution engine • Partner with product leadership to align technical capacity with product prioritization • Direct major enterprise initiatives, including modernization of the legacy codebase • Drive successful adoption of AI-assisted tooling across engineering and quality assurance teams • Transition the quality assurance framework from manual to automated testing • Optimize capacity allocation for innovation and ongoing maintenance • Deliver comprehensive codebase refactoring within specified timeframes