Senior Engineering Manager, AI/BI Dashboard Platform

Databricks; Mountain View (CA); On-site; USD 229,000 - 314,000; Full time

Job summary

Databricks is seeking a Senior Engineering Manager to grow the AI/BI Dashboard product and service platform. You will lead multiple engineering teams across full stack and backend domains, guiding AI insights integration and scalable dashboards for business users.

This role reports to the Director of Engineering and focuses on delivering high-quality, performant software at scale. You will drive recruitment, talent development, and architectural decisions while balancing cost, performance, and

Qualifications

• 6+ years of experience in managing multiple teams that build and operate products and systems in a SaaS environment.
• 10+ years of experience with distributed systems and building products, platforms and services that serve multiple product teams and customers.
• Experience managing distributed teams across multiple locations.
• BS or higher in Computer Science, or a related field.
• Strong track record of attracting, hiring, and retaining top engineering talent.
• Adaptability and resilience in a fast-paced, rapidly evolving tech environment.

Responsibilities

• Lead multiple talented 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 technical architecture decisions, and balance product roadmap.

Skills

Leadership

Team building

Hiring

Distributed systems

SaaS

Cross-functional collaboration

Strategic planning

Mentoring

Education

BS in Computer Science

Job description

Databricks is seeking a Senior Engineering Manager to grow the AI/BI Dashboard product and service platform. You will lead multiple engineering teams across full stack and backend domains, guiding AI insights integration and scalable dashboards for business users.

This role reports to the Director of Engineering and focuses on delivering high-quality, performant software at scale. You will drive recruitment, talent development, and architectural decisions while balancing cost, performance, and