What You'll Be Doing
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 the SQL and Python behind analyses, dashboards, and monitoring that leadership uses to make decisions
Integrate third-party models, APIs, and data sources into our systems, and handle the mapping, transformation, and validation they need
Prototype quickly in notebooks and scripts, then harden what works into reliable, tested production systems
What You'll Need
Experience working with the product lifestyle, from PRD creation to implementation
Solid engineering skills in Python
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
