Own and evolve Braze’s ML platform for globally scaled training pipelines, model serving, deployment, orchestration, and observability. Lead complex infrastructure initiatives, improve reliability and cost efficiency, manage incident response, and establish production quality standards. Partner across teams, shape technical strategy, mentor senior engineers and data scientists, and connect platform decisions to customer and business outcomes.

Leads end-to-end development of production machine learning systems, including model training, serving, lifecycle management, and high-throughput APIs. Drives technical vision, distributed ML platform initiatives, cross-team programs, engineering quality, and mentorship. Designs predictive and generative AI solutions at scale, ensuring reliability, cost efficiency, and alignment with customer and business outcomes.