Embed with internal teams and partners to scope messy, loosely defined problems and turn them into structured PRDs and working software.
Build and maintain internal tools, including pricing and decision engines, data apps, and AI-powered workflows.
Write SQL and Python for analyses, dashboards, and monitoring that leadership uses to make decisions.

What You'll Need:

Experience working with the product lifecycle, from PRD creation to implementation.
Solid engineering skills in Python and strong understanding of data systems: SQL, schemas, indexing, partitioning, and performance tradeoffs.
Comfort with statistical concepts relevant to model evaluation, or experience interpreting metrics and distributions.

What's Great to Have:

Familiarity with pipeline tooling (Airflow/Dagster/Prefect), queues (Kafka/SQS/PubSub), and common data formats (Parquet/JSON).
Familiarity with cloud infrastructure (AWS/GCP/Azure), containers, CI/CD, and basic DevOps hygiene.