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
What we look for: 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, SR