Synced from Greenhouse · Jul 1

Global Premier Support Manager

DatabricksSydney, AustraliaPosted Jul 1, 2026
Customer Success ManagerSenior
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Mirrored from Databricks's own Greenhouse careers system · refreshed hourly

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Jul 1
Posted
Greenhouse
Applicant system
Job descriptionReq 8583146002

P-1562

As a Leader within the Premier Support team at Databricks, you’ll be responsible for leading and managing a team of Designated Support Engineers which deliver white-glove support experiences for Databricks’ 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.

The Impact You Will Have

  • 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

What We Look For

  • 15+ years of industry experience, with at least 6+ 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 competing 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)

About Databricks

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.

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.

View original posting on Greenhouse

What applying to Databricks usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at Databricks can generally expect a structured process typical of this ATS. This commonly begins with an online application and resume screen, followed by a recruiter conversation to discuss background and role fit. Depending on the position, candidates may encounter technical assessments, take-home exercises, or case studies, particularly for engineering, data, and analytical roles. The process may include multiple stages such as hiring manager conversations, panel discussions, and team or cross-functional interviews. Response times vary and communication is typically managed through the greenhouse platform, including scheduling and status updates. Candidates should prepare to discuss relevant experience, technical skills, and role-specific scenarios, as greenhouse-based processes commonly emphasize structured evaluation criteria across candidates to support consistent, comparative hiring decisions throughout the pipeline.

Based on publicly available information. LandEarly does not verify interview process details.

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