Teams at Grailed

Lead design, reliability, and scalability of data infrastructure and pipelines using a modern stack (Snowflake, DBT, Airflow). Build reusable data models and semantic layers, implement data governance, observability, and SLAs, partner with cross-functional teams, build Reverse ETL and APIs, and support marketing and ML consumption.

Own end-to-end production ML systems for search, recommendations, and ranking: architecture, training pipelines, inference, deployment, monitoring, drift detection, and retraining. Partner with data, product, and backend teams to ship reliable, low-latency ML-driven product experiences and set standards for ML infrastructure and model health.

Authenticate sneaker listings by verifying condition, size, accessories, and authenticity; remove unsafe or noncompliant listings; identify manipulated photos or inaccurate details; support defect review and process improvements; train and mentor teammates and build authentication resources; track metrics and contribute to company initiatives and OKRs.