Databricks

Senior Manager, Global Premier Support

Databricks$170K — $234K *
Technical Services
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 15+ years of industry experience; 7+ years in management
  • Proven track record in hiring and scaling high-performing teams
  • Experience managing technical priorities for strategic customers
  • Technical proficiency in Python, Java, Scala, SQL, Linux/Unix, or cloud platforms
  • 5+ years in technical support or field leadership, managing global teams
  • Strong cross-functional collaboration experience
  • Experience engaging with senior executives and customer leaders
  • B.S. in Computer Science or related field (M.S. preferred)

Responsibilities

  • Lead and manage a team of Designated Support Engineers
  • Hire, onboard, and develop a top-tier support engineering team
  • Identify and implement process improvements for team performance
  • Collaborate with cross-functional teams to enhance customer support
  • Contribute to program enhancements based on customer needs
  • Drive resolutions for technical blockers to ensure customer satisfaction
  • Conduct Support Experience QBRs for internal and external stakeholders

Benefits

  • Comprehensive benefits package
  • Opportunities for annual performance bonuses
  • Equity options available
  • Flexible working arrangements
  • Supportive company culture focused on professional development
Full Job Description
CSQ227R21

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 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).


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

$170,400-$234,300 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

$144,900-$199,200 USD

About Databricks

Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
Learn more about Databricks
Size
2,000 employees
Industry
Founded
2013

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