Sr. Manager – Data & AI Support Engineering

Job summary

Responsibilities

Lead and scale a world-class AI-first Data & AI Support Engineering organization that combines deep technical expertise, operational excellence, intelligent automation and customer-centric support to accelerate issue resolution, improve platform reliability and drive exceptional customer outcomes…

• Build AI-enabled support workflows and reusable automations to improve resolution speed and support quality.
• Use Agentic AI systems, logs, telemetry, observability platforms and internal systems to accelerate troubleshooting and root-cause analysis safely.
• Create reusable runbooks, prompts, and agentic workflows that scale operational efficiency across teams.
• Ensure strong AI governance, customer data safety, validation practices, auditability, and human-in-the-loop controls.
• Partner with Engineering and Product teams to drive AI-first support innovation and operational excellence.

What they're looking for

• 10+ years of experience designing, building, troubleshooting, and supporting large-scale Data & AI applications using Python, Java, Scala, Spark, or related distributed…
• Strong work experience of AI-enabled support workflows, agentic AI systems, Claude Skills workflows, RAG architectures, vector databases and any other operational automation…
• Proven development/delivery experience at a production scale in Databricks tech stacks like Model serving, Lakehouse, Delta, DLT, Lakeflow, Lakebase platforms is a strong plus.
• Experience using AI tools for troubleshooting, root-cause analysis, observability analysis, and support workflow acceleration.
• Strong hands-on expertise in Apache Spark, Spark SQL, Structured Streaming, Delta Lake, and distributed data processing systems.

Tech stack

• Spark
• SQL
• Python
• Java
• Scala
• RAG
• Kafka
• AWS