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.
Founded by engineers and grounded in customer obsession, we embrace every opportunity to tackle complex technical challenges — from creating next-generation UI/UX for interacting with data to scaling our services across millions of virtual machines. And we're only getting started.
As the Senior Engineering Manager for Customer Experience Intelligence (CXI), you’ll shape how Databricks delivers intelligent, AI-driven customer and Support experiences at scale. This is a high-impact, visible role where you’ll lead a team building the systems that make every customer interaction more seamless, predictive, and trusted. You’ll turn customer and Support signals into real business outcomes — unlocking measurable improvements in deflection, resolution speed, and customer satisfaction — while helping product teams strengthen reliability through actionable insights. Your leadership will ensure AI, automation, and human expertise come together as a single, intelligent ecosystem powering the Databricks customer journey.
This is your opportunity to define how Databricks blends human ingenuity and AI to deliver world-class customer experiences. If you’re passionate about leading teams that turn data and intelligence into action—and impact felt across thousands of customers—this is where your work will truly matter.
The Impact You Will Have:- Own the entire portfolio across customer self-service, support workflows, and product-health intelligence.
- Own the execution of the team charter by delivering a sequenced, outcome-driven roadmap with explicit tradeoffs between metric movers (deflection, contact rate, MTTM), visible wins, and foundational capabilities.
- Own rollout strategy through staged releases, enablement, and change management.
- Collaborate with Tech Leads to ensure explainability, observability, and safe fallback mechanisms before scaling dependencies.
- Serve as the primary integrator across Support, Product, Enterprise Engineering, Platform, and SME teams.
- Drive governance to eliminate duplication, resolve conflicting sources of truth, and maintain a unified execution thread tied to measurable outcomes.
- BS or higher degree in Computer Science or a related field.
- 10+ years of experience building and operating customer-facing workflows and support automation tools that reduce customer effort and improve resolution time.
- 5+ years of experience leading Engineering teams that build products used daily by Support engineers, SREs, or developers.
- Demonstrated experience delivering AI- or automation-enabled systems
- 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.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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.
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
