Manager, Engineering - Brands Team

Required

• Engineering Leadership: Proven experience managing high-performing teams delivering production-grade, distributed software at scale.
• Big Data: Deep domain expertise in big data architectures, specifically managing high-throughput data ingestion, or media metadata systems.
• System Modernization: Proven track record of upgrading legacy systems and refactoring technical debt into scalable, modern platform architectures.
• AI Implementation: Experience embedding AI/ML models into production workflows to automate content cataloging, creative identification, or data tagging.
• Full-Stack Oversight: Architectural proficiency in both backend data systems and frontend technologies used to build performant internal management tools.
• Lifecycle Ownership: Demonstrated accountability for the end-to-end software lifecycle, from initial design through to post-release stability and performance.
• Quality Governance: Experience defining and enforcing rigorous quality gates, including automated unit, integration, and regression testing frameworks.
• Operational Excellence: Strong focus on production stability, using root-cause analysis and data-driven metrics (e.g., defect rates, latency) to drive improvement.
• Agile Execution: Mastery of effective sprint planning to balance rapid delivery of new platform features with long-term infrastructure stability.
• Delivery Velocity: Ability to maintain a high shipping cadence while upholding strict standards for system reliability and data integrity.
• Strategic Collaboration: Exceptional communication skills to align engineering efforts with Product, Data Science, and Operations objectives.