Sr. Engineering Manager Customer Experience Intelligence (CXI)

Databricks

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profile Job Location:

San Francisco, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

At Databricks we are passionate about enabling data teams to solve the worlds toughest problems from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We build and run the worlds 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 were only getting started.

As the Senior Engineering Manager for Customer Experience Intelligence (CXI) youll shape how Databricks delivers intelligent AI-driven customer and Support experiences at scale. This is a high-impact visible role where youll lead a team building the systems that make every customer interaction more seamless predictive and trusted. Youll 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 youre passionate about leading teams that turn data and intelligence into actionand impact felt across thousands of customersthis 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 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.

Required Experience:

Manager

At Databricks we are passionate about enabling data teams to solve the worlds toughest problems from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We build and run the worlds leading data and AI infrastructure platform so customers can tr...
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Key Skills

  • Hospitality Experience
  • Go
  • Management Experience
  • React
  • Redux
  • Node.js
  • AWS
  • Mechanical Engineering
  • Team Management
  • Leadership Experience
  • Mentoring
  • Distributed Systems

About Company

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The Databricks Platform is the world’s first data intelligence platform powered by generative AI. Infuse AI into every facet of your business.

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