Engineering Manager, Data

📋 Description

• Lead a distributed team of data scientists, ML engineers, and data engineers.
• Define and execute the data science/ad tech roadmap: user modeling, optimization, personalization.
• Architect ML pipelines with feature engineering, training, serving, and A/B testing.
• Oversee real-time ad event pipelines for attribution and performance optimization.
• Collaborate with Product/Growth/Marketing on audience scoring and LTV/churn models.
• Ensure privacy-compliant data infrastructure aligned with GDPR, CCPA, and ATT.

🎯 Requirements

• 5+ years in software/data engineering or applied data science.
• 3+ years leading ML/analytics/ad tech teams.
• ML/stat modeling knowledge: regression, classification, causal inference, uplift, forecasting.
• Hands-on with Snowflake, BigQuery, Spark, Airflow, dbt, MLFlow, feature stores.
• End-to-end ML production in batch and real time.
• Ad tech knowledge: attribution models and creative performance tracking.

🎁 Benefits

• Medical, dental, and vision coverage
• PTO
• Personalized career roadmap
• Professional development opportunities
• Collaborative, creative culture