• Design and ship production systems around our video foundation models, owning integrations with media infrastructure, video processing pipelines, data provenance, reliability, and on-call readiness across content workflows. • Lead discovery and scoping from pre-sales through deployment, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable business outcomes. • Build in large-scale video environments where performance optimization, cost efficiency, security controls, and scalability shape architecture, operating procedures, and failure handling. • Run evaluation loops that measure model and system quality against workflow-specific benchmarks (e.g., search relevance, content accuracy, processing throughput) and use results to drive model and product improvements. • Define launch criteria including performance metrics, acceptance benchmarks, and success measures, driving delivery until sustained production impact is demonstrated. • Distill deployment learnings into hardened primitives, reference architectures, integration patterns, and benchmark harnesses that scale across Media & Entertainment customers.