Senior Engineering Manager

Job Summary

The full-time salaried Senior Engineering Manager will lead the Machine Learning Data Enablement team, focusing on enhancing data evaluation velocity and reducing time-to-production for high-value data sources in a remote environment.

Key responsibilities

• Build and manage a high-performing team responsible for data integration, quality, and ML-critical data infrastructure
• Set and execute the technical strategy to improve data evaluation velocity and production timelines
• Drive the implementation of data quality frameworks and establish clear ownership across the data lifecycle

Required qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, plus 8 years of engineering experience with at least 3 years in people management
• Experience owning production data pipelines for both offline training and online inference
• Proven ability to build and scale data systems using modern stacks such as Databricks/Spark, Python, SQL, and AWS
• Demonstrated ownership of complex cross-functional initiatives involving engineering, ML, and business stakeholders
• Experience in designing and enforcing data quality frameworks for production systems