Teams at GoDaddy

Lead design, development, and production deployment of ML and generative AI solutions at scale. Drive personalization, pricing, experimentation, agentic AI, and simulation modeling. Partner with engineering and product teams, mentor engineers, influence technical strategy, and measure business impact through data-driven experimentation.

Lead architecture and implementation of large-scale generative, agentic, recommendation, and personalization ML systems. Build end-to-end ML platforms (data pipelines, training, deployment, monitoring, governance), define technical strategy and reusable patterns, and partner with Product, Engineering, Data, and Design to deliver production AI experiences for millions of customers.

Lead a 50+ distributed engineering organization to own identity, authentication, authorization, and profile services. Set technical vision, drive adoption of OAuth/OIDC and OpenFGA, improve reliability and incident response, mentor senior managers, contribute hands-on code and prototypes, and promote safe use of AI-assisted development tools.