Sr. Engineering Manager - Customer Experience Intelligence (CXI)

Databricks; Mountain View (CA); On-site; USD 188,000 - 313,000; Full time

Job summary

Databricks is seeking a senior engineering leader to architect and scale an AI-native, agent-based backend platform. You will drive the technical vision for a multi-tenant framework, collaborating with CXI, Product, and Platform Engineering to align roadmaps and deliver reliable, scalable workflows across domains.

You will mentor engineers, raise the engineering bar, and ensure high-quality code and observability while shaping the future of enterprise agentic systems.

Qualifications

• BS or higher degree in Computer Science or a related field.
• 10+ years of experience building and operating AI-native workflow products or platforms.
• 5+ years of experience leading and growing software engineering teams.
• Demonstrated ability to combine software engineering, AI capabilities, operational workflows, and product thinking into cohesive customer experiences.
• Strong product judgment with the ability to translate ambiguous operational problems into intuitive workflows and measurable business outcomes.
• Experienced influencing across multiple engineering and product organizations.
• Excellent written and verbal skills with the ability to articulate complex strategies clearly and concisely.

Responsibilities

• 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 expandable to 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 evolving 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 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 SMEs across Software, Support, and internal operations teams.

Skills

Backend architecture

Multi-tenant platform

AI-native workflows

State-machine design

Observability

Leadership

Mentoring

Education

BS in Computer Science

Job description

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We build and run the world’s leading data and AI infrastructure platform so customers can transform deep data insights into business outcomes.

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.
• 10+ years of experience building and operating AI-native workflow products or platforms.
• 5+ years of experience leading and growing software engineering teams.
• Demonstrated ability to combine software engineering, AI capabilities, operational workflows, and product thinking into cohesive customer experiences.
• Strong product judgment with the ability to translate ambiguous operational problems into intuitive workflows and measurable business outcomes.
• Experienced influencing across multiple engineering and product organizations.
• Excellent written and verbal skills with the ability to articulate complex strategies clearly and concisely.

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

$222,000—$312,600 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.