Senior Engineering Manager, AI/BI Dashboard Platform

Databricks Inc.

Mountain View (CA)

On-site

USD 229,000 - 314,000

Full time

2 days ago
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Job summary

Databricks Inc. is seeking a Senior Engineering Manager to grow the AI/BI Dashboard product and service platform. You will lead multiple full-stack/backend teams and drive the end-to-end delivery of dashboards, AI insights, and BI features across the Databricks platform.

The role emphasizes balancing performance, cost, and quality while applying AI/LLM techniques in product surfaces. You will report to the Director of Engineering and shape the roadmap, recruiting talent and building scalable

Qualifications

  • 6+ years of experience in managing multiple teams that build and operate SaaS products and systems.
  • 10+ years of experience with distributed systems and enterprise-scale platforms.
  • Experience scaling engineering teams from 15 to 35+.
  • BS or higher in Computer Science or a related field.
  • Strong track record of attracting, hiring, and retaining top engineering talent.
  • Ability to collaborate with PM, CS and other departments.

Responsibilities

  • Lead multiple engineering teams of full-stack/backend engineers and SMEs, as well as managers, focused on the above initiatives.
  • Oversee sustained recruitment of top-tier IC talent and managers, and developing talent across the teams.
  • Build processes to implement product vision and strategy, according to organizational goals and priorities.
  • Build software that is not just high quality, but easy to operate.
  • Manage technical debt, including long-term architecture decisions, and balance the product roadmap.

Skills

Talent development
Process improvement
Distributed systems
Cross-functional collaboration
SaaS experience

Education

BS in Computer Science

Job description

Databricks Inc. is seeking a Senior Engineering Manager to grow the AI/BI Dashboard product and service platform. You will lead multiple full-stack/backend teams and drive the end-to-end delivery of dashboards, AI insights, and BI features across the Databricks platform.

The role emphasizes balancing performance, cost, and quality while applying AI/LLM techniques in product surfaces. You will report to the Director of Engineering and shape the roadmap, recruiting talent and building scalable

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