Staff Software Engineer – Customer Experience Intelligence (CXI)
$190k - $261k • Remote • Mountain View, California; San Francisco, California
Posted 26d ago
About the job
Databricks is seeking a Staff Technical Lead for Customer Experience Intelligence (CXI) to architect and deliver an AI-native vertical workflow platform. This platform will orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows, initially focusing on customer support and expanding to other domains like IT, Security, Legal, and Marketing. The role involves driving rapid backend development with a focus on quality, safety, and reliability, designing state-machine and agentic workflows, and implementing robust observability and rollback mechanisms for AI-driven decisions. The Technical Lead will also act as a liaison between CXI, Product, Platform Engineering, and business stakeholders, while mentoring engineers and subject matter experts.
Responsibilities
- Architect the core infrastructure and backend for an enterprise agentic framework.
- Build a modular, multi-tenant agent platform scalable across various business domains.
- Drive iterative backend development while ensuring high standards for quality, safety, throughput, and reliability.
- Design state-machine and agentic workflows for both human-in-the-loop and fully automated execution.
- Implement enterprise-grade tracing, logging, transparency, and safe execution mechanisms, including rollback capabilities.
- Serve as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders.
- Set a high engineering bar for code quality, system performance, and architectural maintainability.
- Mentor engineers and subject matter experts.
Requirements
- 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 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, developer tooling, and large-scale infrastructure systems.
- Strong understanding of multi-cloud environments (AWS, Azure, GCP) and enterprise compliance, data privacy, and security constraints.
Benefits
- Eligibility for annual performance bonus
- Equity
- Comprehensive benefits package