senior services Customer Experience Specialist ic
$164,200 – $225,700
USD per year

About this role

Databricks is hiring a senior-level Customer Experience Specialist in the services function based in Mountain View, CA | San Francisco, CA. The posting calls out experience with AWS, GCP, Azure, Spark. Compensation is listed at $164,200–$225,700 per year.

Role
Customer Experience Specialist
Function
services
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Mountain View, CA | San Francisco, CA
Department
Support

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Job description

from Databricks careers

P-1651

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 a Sr. Software Engineer for Customer Experience Intelligence, you’ll shape the future of how Databricks supports customers at scale. You’ll design intelligent, AI-powered systems that make support faster, smarter, and more effortless — turning complexity into clarity for thousands of users.

In this role, you’ll work hands-on with teams across Support, Product, and Platform Engineering to build seamless systems that anticipate customer needs before they arise.

Building the technical foundation that transforms how customers experience support — where issues are auto-diagnosed, solutions are delivered instantly, and engineers focus their time on the toughest challenges. Your success will mean customers moving faster, trusting Databricks deeper, and feeling the impact of your systems every day.

This is an excerpt. Read the full job description on Databricks careers →
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