Staff Software Engineer – Customer Experience Intelligence (CXI)

Databricks Inc.; Mountain View (CA); On-site; USD 190,000 - 261,000; Full time

Job summary

Databricks in Mountain View, CA is seeking a Staff Technical Lead for Customer Experience Intelligence to architect and deliver our AI-native workflow platform. You will shape the backend, scale across domains, and ensure reliability and observability for production-grade automation.

You will lead cross-functional teams, mentor engineers, and raise the engineering bar in line with Databricks standards as the product expands into IT, Security, Legal, Marketing, and other knowledge-work workflows.

Qualifications

• BS or higher in Computer Science or a related field.
• Technical leadership experience in large projects, including 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) alongside enterprise compliance, data privacy, and security constraints.

Responsibilities

• Architect the Agentic Ecosystem: contribute to technical vision, core infra, and backend architecture for Databricks’ Enterprise Agentic Framework.
• Scale across domains: build a modular, multi-tenant agent platform initially for Customer Support, expandable to IT, Security, Compliance, Marketing, HR and more.
• Engineered reliability: drive rapid backend development while upholding quality, safety, throughput, and reliability standards.
• Orchestrate complex workflows: design state-machine and agentic workflows from human-in-the-loop to automated execution.
• Observability: implement backend tracing, logging, transparency, and safe execution with rollback for critical AI decisions.
• Cross-functional leadership: liaise between CXI, Product, Platform Engineering, and stakeholders to unblock dependencies and align roadmaps.
• Raise the bar: maintain high engineering standards for backend code quality and system performance.
• Mentor and cultivate: mentor engineers and SMEs across Software, Support, and internal operations.

Skills

Technical leadership

Full stack development

Automation tooling

ML-assisted systems

Distributed data platforms

Multi-cloud environments

Security & privacy

Education

BS in Computer Science

Job description

P-1652

At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from advancing the future of transportation to accelerating medical breakthroughs. We do this by building and operating the world’s best data and AI infrastructure platform so our customers can turn deep data insights into business impact.

Founded by engineers and driven by customer obsession, Databricks takes pride in tackling hard technical challenges — from designing next-generation UI/UX for working with data, to scaling our services and infrastructure across millions of virtual machines. And we’re only getting started.

As the Staff Technical Lead (TL) for Customer Experience Intelligence, you will architect and deliver Databricks' AI-native vertical workflow platform. CXI is building intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows. Support is our first production domain and the platform is designed to expand across multiple domains such as IT, Security, Legal, Marketing, and other knowledge-worker workflows, with a roadmap toward broader productization.

The Impact You Will Have

• Architect the Agentic Ecosystem: Contribute to the technical vision, core infrastructure, and backend architecture for Databricks’ next-generation Enterprise Agentic Framework.
• Scale across multiple domains: Build a vertical modular, multi-tenant agent platform initially optimized for Customer Support, but natively designed to expand into other domains such as IT, Security, Compliance, Marketing, HR, Legal and all ticket based workflows across the company.
• Engineered Reliability: Drive rapid, iterative backend development while upholding strict quality, safety, throughput, and reliability standards for agentic-based systems.
• Orchestrate Complex Workflows: Design state-machine and agentic workflows that seamlessly evolve from human-in-the-loop validation to fully automated execution.
• Enterprise-Grade Observability: Implement robust backend tracing, logging, transparency, and safe execution including instant rollback mechanisms for critical AI-driven business decisions.
• Cross-Functional Leadership: Act as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders across various organizations to unblock dependencies and align roadmaps.
• Raise the Bar: Set a high engineering bar for backend code quality, system performance, and architectural maintainability in line with Databricks standards.
• Mentor and Cultivate: Mentor engineers and subject matter experts (SMEs) across Software, Support, and internal operations teams.

What We Look For

• BS or higher degree in Computer Science or a related field.
• Technical leadership experience in large projects similar to those described, including automation tooling, distributed systems, and API’s
• 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) alongside enterprise compliance, data privacy, and security constraints.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$190,000—$261,250 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.