As an Analytics Engineering Manager, you will lead the team responsible for GlossGenius's core data modeling infrastructure: the models, frameworks, and systems that both power day-to-day operations and inform business strategy across the company. You will partner cross-functionally with Product, Finance, Sales, CX, and GTM to design reliable, consistent data models that serve as the foundation for understanding customer behavior, measuring business performance, and activating insights in operational tools. A core part of this role is acting as a translator between data producers (Engineering, Data Engineering) and data consumers (Analytics, Data Science, business stakeholders), ensuring that upstream schema decisions align with downstream reporting and activation needs. GlossGenius moves fast to ship new product features; a key responsibility is ensuring data models keep pace with new data being produced by those features, so the business has immediate access to measure success and inform iteration. You will report to the VP of Analytics. You must be commutable to our NYC headquarters and will operate in a hybrid environment. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays.