Senior Manager Technical Solutions
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and lead a regional technical solutions and support organization. You will coach engineers, improve support operations, manage escalations, collaborate with Sales and Engineering, and oversee timely resolution of complex customer issues.
Requirements
- At least 15 years of experience in the technology industry, SaaS support, building, testing, and maintaining systems
- At least 6 years of management experience leading at least six technical support engineers
- Experience with cloud-native applications or SaaS on AWS, Azure, or GCP, big-data platforms, or Apache Spark
- Experience managing a large regional technical support team in a customer-facing role
- Analytical and troubleshooting skills
- Written and verbal customer communication skills
- Systems troubleshooting, networking, Linux fundamentals, JVM troubleshooting, and Java debugging experience preferred
Responsibilities
- Build and manage a team of Technical Solution Engineers
- Coach and mentor engineers
- Implement process improvements to meet regional performance KPIs
- Establish training plans and subject-matter expertise
- Drive support escalations and cross-functional issue resolution
- Provide technical leadership as a player-coach
- Coordinate with Sales and field teams on account concerns, adoption, and platform usage
- Define quarterly goals and track completion
- Develop processes and guidelines that improve operational efficiency
- Coordinate with Engineering and escalation teams to resolve customer issues
- Perform risk assessments