Sr. Manager – Data & AI Support Engineering

Databricks, Plano, Texas +1

Overview

P-1388

As a Sr. Manager of the Data & AI Support Engineering team, you will lead and manage a team of Technical Solutions Engineers responsible for driving deep technical resolutions for complex customer issues across Spark, AI/ML, Streaming, and Lakehouse platforms. You will help customers realize business value from Databricks Ecosystem products through strong technical leadership, AI-first operational innovation and customer-centric execution.

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Sr. Manager – Data & AI Support Engineering

Databricks, Plano, Texas +1

Posted pay

Pay not posted

Location: Plano, Texas +1
Work type: Not given
Level: Senior, manager
Experience: 10+ years
Skills in the job text: Python
AWS
SQL
GCP
Azure
Java
Spark
Databricks
Hadoop
Kafka
Scala
Posted: Jun 4, 2026
Last check: 9 h ago
Job type: Software engineering

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Databricks

Open tech jobs: 426
With posted pay: 59%
Median posted base: $180K–$248K

About Databricks: funding, hiring and pay

Databricks

About Databricks: funding, hiring and pay

Company facts

Money raised: $24.9BSum of funding rounds on record
Newest round: Strategic funding roundAug 13, 2026

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Overview

P-1388

Outcomes

Drive AI-first support transformation initiatives that improve resolution speed, case quality, operational efficiency and customer experience.
Partner with Engineering and Product teams to operationalize AI-assisted diagnostics, observability insights, and intelligent escalation management for enterprise customers.
Build and scale reusable AI-enabled workflows, automations, runbooks, and operational intelligence frameworks across the support organization.
Lead and manage Technical Solutions Engineers, Team Leads, and support operations personnel across AMER support functions based out of the Dallas location.
Own and improve operational KPIs including customer satisfaction, escalation management, backlog health, resolution efficiency, and support quality.
Act as a senior escalation point for customers and internal teams while driving operational excellence and process optimization.
Lead hiring, onboarding, mentoring, technical assessments, training, and career development for support engineers and technical leads.
Conduct regular one-on-ones, annual review, and career development discussions with direct reports.
Be a hands-on technical leader supporting complex issues related to Spark Core, Spark SQL, Structured Streaming, Delta Lake, Lakehouse architecture, and Databricks Runtime technologies.
Guide customers on Spark runtime optimization, distributed systems performance, and best practices for scalable Data & AI workloads.
Own Engineering JIRA escalations and proactively drive faster resolutions for customer-reported product issues.
Maintain internal operational documentation, runbooks, and customer-facing knowledge base assets.
Coordinate closely with Engineering and Backline Support engineering, customer experience intelligence teams to identify, reproduce, and report product defects effectively.
Act as a strong customer advocate and collaborate with cloud partners to support mutual customer success.
Participate in major incident management, escalation handling, on-call rotations, and critical production support activities.

Sr. Manager – Data & AI Support Engineering

Overview

Sr. Manager – Data & AI Support Engineering

Overview

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Outcomes

Pay and benefits

About Databricks

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