- Design and build reliable data pipelines that process large volumes of customer warehouse data.
- Build and run machine learning operations infrastructure for feature pipelines, training jobs, deployment, and monitoring.
- Own data quality and data modeling for models and customer-facing features.
- Use AI coding tools by writing clear specifications and context, running agents on parallel workstreams, and critically reviewing their output.
- Build shared AI workflows, guardrails, and review standards.
- Evaluate new tools and models and share useful ones with the team.
- Write architecture documents explaining design choices and tradeoffs.
- Understand customer needs and decide what is worth building.
- Mentor engineers, including on effective use of AI coding tools.