Databricks
As a Senior Manager of Data & AI Support Engineering, you will lead a team of Technical Solutions Engineers to drive deep technical resolutions for complex customer issues across Spark, AI/ML, and Lakehouse platforms. The role focuses on building AI-enabled support workflows, utilizing agentic AI systems for troubleshooting, and ensuring strong AI governance. You will partner with Engineering and Product teams to operationalize AI-assisted diagnostics and oversee operational KPIs for enterprise-scale Data and AI workloads.
Headquarters
San Francisco, California, United States
Company Size
5001-10000 employees
Founded
2013
Databricks is a unified Data Intelligence Platform that helps organizations build, deploy, and manage data, analytics, and AI at scale. Built on Apache Spark and Delta Lake, it provides a “lakehouse” architecture that combines data engineering, ETL, data warehousing, streaming, and machine learning (including MLflow and feature store) in a single managed service. The platform includes collaborative notebooks, scalable compute across major clouds, and built‑in governance, security, and performance optimizations. Enterprises use Databricks to simplify data pipelines, accelerate model development with a data‑centric approach, and operationalize analytics and AI.
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Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Databricks.
Databricks didn’t post a salary, so this is our estimate from similar listings.
3% below the average for this role
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