Sr Manager Quality Engineering

## About the team The Data Engineering team is uniquely positioned at the intersection of security, big data, and cloud computing. We are responsible for providing near real-time access to global security insights and intelligence data to our customers, enabling them to act in near real-time. In today's AI-driven world, data quality is more critical than ever. We are looking for a seasoned manager to guide the Quality organization through AI-driven workflows to improve the quality of our data products. ## What's in it for you In this role, you will take the lead in directing the quality strategy for our core Data Infrastructure and products within high-volume, cloud-scale distributed systems. You will be instrumental in defining technical and quality standards from the ground up, collaborating closely with product and data systems experts to solve complex, large-scale challenges. This position offers a platform for high-impact leadership, allowing you to develop innovative, cutting-edge solutions that drive company goals while further refining your leadership skills in a dynamic and sophisticated engineering environment. ## What you will be doing - Team Leadership: Lead and mentor a team of 10+ engineers while fostering a culture of collaborative ownership. - Strategy & Metrics: Define quality strategies and technical standards, creating measurable paths to achieve them while establishing KPIs to enhance product reliability. - Technical Guidance: Provide leadership to team members in designing automation frameworks and comprehensive testing strategies. - Systems Integrity: Measure and establish data integrity, system performance, and reliability in the face of failures. - Cross-Functional Partnership: Partner with Engineering, Product, and Program Management throughout the development lifecycle to integrate quality into the core architecture. - Operational Support: Support production software deployments and lead root-cause analysis for customer escalations. - Advocacy: Build trust through partnerships and act as a passionate advocate for quality and customer success. ## Required skills and experience - 4+ years of people management experience leading geographically distributed teams of over 10+ members. - A proven track record of developing automation frameworks, testing strategies, and applying modern tools and practices. - Deep experience with data systems including Postgres, Clickhouse, Trino, Spark, Iceberg, Kinesis, Kafka, and cloud-native architectures. - Strong familiarity with AI-driven tools and experience onboarding modern workflows to improve quality and productivity. - Strong written and verbal communication skills with the ability to articulate quality objectives and their importance to customer success. - Prior hands-on experience as an individual contributor (IC) at a Lead/Staff-level or higher is preferred. ## Education - BSCS or equivalent required - MSCS or equivalent strongly preferred