Director, Global Premier Support
DatabricksAbout the role
CSQ426R142
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
As a Director of Premier Support, you’ll be responsible for scaling, leading, and managing a global team of Designated Support Engineers which deliver white-glove support experiences for Databricks’ enterprise customers. You will closely partner with go-to-market and product teams to iterate and evolve the program to maximize customer satisfaction and reduce time to mitigation for technical issues and incidents.
The Impact you will have:
- Grow and develop a team of global designated support engineers (DSE)
- Identify and institute process improvements to meet or exceed team performance KPIs and create consistently exceptional support experiences
- Develop 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:
- 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
- 5+ 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
- B.S degree in Computer Science or a related field is required (M.S. preferred).
Pay Range Transparency
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$201,900—$282,675 USD
Pay Range Transparency
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$171,700—$240,325 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the need
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