Engineering Manager - Data Products

- Lead engineering across a set of data product teams, with responsibility for both people and outcomes - Oversee teams building and maintaining data feeds, datasets, and client-facing outputs - Guide the evolution of shared data models and event schemas for better consistency and extensibility - Drive automation and internal tooling that improves quality and efficiency, including testing and AI-assisted workflows - Own the roadmap and execution for data products spanning multiple domains such as apps, web, and commerce - Lead teams responsible for schemas, datasets, and reporting outputs used directly by customers - Shape and prioritize work on automation and internal tools that reduce manual effort and enhance quality - Partner closely with Product, Data Engineering, ML, Apps, QA, and client-facing teams - Hire, develop, and support engineers and tech leads through one-on-ones, feedback, and career development - Establish and improve engineering practices around observability, data quality, documentation, incident response, and service levels