As the Staff Technical Lead for Customer Experience Intelligence at Databricks, you will be responsible for architecting and delivering an AI-native vertical workflow platform. This role focuses on building intelligent systems that integrate AI agents, humans, and enterprise tools into operational workflows. You will work on enhancing the platform's capabilities across various domains, including Customer Support, IT, and Marketing. The position requires strong technical leadership and a commitment to high engineering standards.

• BS or higher degree in Computer Science or a related field.
• Technical leadership experience in large projects involving automation tooling, distributed systems, and APIs.
• Extensive full stack development experience.
• Proven success in designing and deploying production-grade automation in complex technical environments.
• Hands-on experience with ML-assisted systems, decision support, or agentic automation.
• Deep familiarity with distributed data platforms and large-scale infrastructure systems.
• Strong understanding of multi-cloud environments such as AWS, Azure, and GCP, along with enterprise compliance and data privacy.

• Contribute to the technical vision, core infrastructure, and backend architecture for Databricks’ Enterprise Agentic Framework.
• Build a vertical modular, multi-tenant agent platform optimized for Customer Support and designed for expansion into other domains.
• Drive rapid backend development while maintaining strict quality, safety, throughput, and reliability standards.
• Design state-machine and agentic workflows that evolve from human-in-the-loop validation to fully automated execution.
• Implement robust backend tracing, logging, and transparency for AI-driven business decisions.
• Act as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders.
• Set high engineering standards for backend code quality, system performance, and architectural maintainability.
• Mentor engineers and subject matter experts across Software, Support, and internal operations teams.