Architect and operate scalable backend systems, APIs, distributed services, and secure data platforms using Python and related technologies. Partner with data science and ML teams to productionize AI capabilities, lead cross-team technical initiatives, improve engineering standards, and mentor engineers. Own systems throughout the product lifecycle while emphasizing reliability, observability, performance, privacy, and data integrity.

Build and deploy production-grade agentic workflows for enterprise customers using Webflow APIs, CMS, AI capabilities, and external integrations. Design safeguards, observability, rollback paths, and permission boundaries; support live web properties at scale; collaborate with sales and engineering on complex deployments; and convert customer implementation learnings into reusable architecture blueprints and platform improvements.

Lead the technical vision and architecture for backend systems supporting experimentation, personalization, analytics, and conversion optimization. Design and operate high-throughput distributed systems and APIs, build data infrastructure, and productionize AI/ML capabilities. Drive complex multi-team initiatives, influence engineering strategy, establish technical standards and operational excellence, and mentor senior engineers. Partner with product, data science, ML, and engineering teams to translate business needs into scalable solutions.