
Databricks is hiring a Senior Manager, Global Premier Support in California. Expect a hybrid setup: this is full-time work with regular office days. The salary range published with the job is $170,400 to $234,300 a year.
Here is the role as Databricks describes it.
CSQ227R21
As a leader within the Premier Support team at Databricks, youβll be responsible for leading and managing a team of Designated Support Engineers which deliver white-glove support experiences for Databricksβ enterprise customers. You will be hiring, mentoring, and developing a team of strong customer technical advocates while closely partnering with go-to-market, field and product teams to deliver the best support experience to maximize customer satisfaction and reduce time to mitigation for technical issues and incidents.
Hire, onboard, and develop a top-tier team of Designated Support Engineers (DSE)
Identify and operationalize process improvements to meet or exceed team performance KPIs and create consistently exceptional support experiences
Partner closely with field, engineering, support, and other cross functional stakeholders within Databricks to ensure seamless post-sales experience and advocate customer needs.
Contribute to program enhancements and offerings tailored to evolving customer needs
Coordinate execution and collaborate across customers, accounts teams and regional GTM leadership teams to resolve technical blockers and drive high customer satisfaction
Conduct internal and external Support Experience QBRs
15+ years of industry experience, with at least 7+ years of management experience
Proven ability to hire and scale high-performing support or field teams, enabling them and helping them grow in larger roles
Ability to work with strategic customers driving multiple completing priorities
Preferred 5+ years of Technical experience in Python, Java or Scala-based application development, SQL databases, Linux/Unix systems, or cloud platforms (AWS, Azure, or GCP)
5+ years of technical support or field leadership experience managing global technical teams. Open to occasional travel to team locations
Experience working cross-functionally with other teams such as Sales, Field Engineering, Product Management, and Engineering
Experience with influencing senior executives and and senior customer leaders
B.S degree in Computer Science or a related field is required (M.S. preferred).
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.
Zone 1 Pay Range $170,400 to $234,300 USD
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.
Zone 3 Pay Range $144,900 to $199,200 USD
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.
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.
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.
Databricks advertises $170,400 to $234,300 a year for this role.
It is hybrid. You would work partly from home and partly from the office in California.
The posting mentions at least 15 years of relevant experience, a bachelor's degree or equivalent and skills such as Python, Java, Scala and SQL. Read the full description above for the complete list.
Use the apply button on this page. It takes you to Databricks's own application form, so your CV goes directly to their hiring team.
Databricks published the role on September 15, 2026. We check the employer's job board every day and take this page down when the role closes, so if you can read it, the job was still listed at our last check.
Source: Databricks careers page (databricks.com). Applications go straight to the employer. We check the listing daily and remove it once it closes.
Databricks publishes its open roles on its own careers board. This page collects the Databricks jobs that are live right now. Each listing links to Databricks' application form, and we remove a listing once the employer closes it.
Industry: Technology
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