Engineering Manager - AI Data Quality

$192,000 - $260,000/Yr

Databricks - Mountain View, CA

Full-time - Senior

Mountain View, CA

5,001-10,000 employees

Professional, Scientific, and Technical Services

About the position

The Engineering Manager for AI Data Quality at Databricks is responsible for leading a talented engineering team to innovate and optimize the AI Quality Platform. This role focuses on ensuring high data quality and reliability through automated profiling and anomaly detection, enabling enterprises to proactively address potential issues in their data and AI assets. The manager will oversee recruitment, foster team synergy, and drive the strategy for data quality initiatives across the organization.

Responsibilities

• Innovate and optimize to ensure the highest quality and performance.
• Lead a talented engineering team to build both the product and infrastructure for the AI Quality Platform.
• Drive the adoption and revenue of the platform.
• Oversee sustained recruitment of top-tier talent and foster a well-organized team structure.
• Collaborate effectively with internal and external stakeholders.
• Drive strategy and vision for data quality initiatives across Databricks.
• Implement robust processes to efficiently execute product vision, strategy, and roadmap.

Requirements

• 5+ years of distributed experience.
• Experience building highly-available cloud services.
• Experience working cross-functionally across departments (PM, Sales, CS).
• Experience building, growing, and managing high-performance teams.
• Experience scaling engineering teams from 5 to 30+ members.
• Experience in defining and meeting SLOs for highly-available systems.
• Ability to attract and hire engineers who meet Databricks hiring standards.
• Knowledge of Data Monitoring Platforms and AI platforms (highly preferred).
• BS in Computer Science (Masters or PhD preferred).

Benefits

• Comprehensive benefits and perks that meet the needs of all employees.
• Eligibility for annual performance bonus.
• Equity options.