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The Product Manager will enhance clinician engagement with MDCalc by managing product projects and improving user experience through data-driven insights, collaboration, and experimentation.

The Client Success Manager will oversee end-to-end campaign execution, manage client communications, and foster cross-functional collaboration in a fast-paced environment.

Design, build, and maintain scalable ETL/ELT data pipelines and data platform architecture. Build programmatic pipelines (primarily Python), optimize analytical data models (SQL), integrate sources into Snowflake, use orchestration/transformation tools (dbt, Airflow, Dagster), improve data quality/observability, and partner with product, engineering, and analytics to deliver reliable data for decision-making.

As a QA Engineer, you will ensure the quality of AI features, design test strategies, maintain automated pipelines, and collaborate on quality metrics.