Member of Data Staff (Data Acceleration)

Tech Stack

Responsibilities

• Build AI agents and internal systems to automate end-to-end data analysis workflows, including hypothesis generation and query writing.
• Create and scale the retrieval infrastructure and evaluation loops for AI systems to query warehouses reliably.
• Automate the data lifecycle, building self-healing pipelines, automated dbt model generation, and diagnostic workflows.
• Develop and ship AI-powered experiment analysis tools for interpreting A/B test results and statistical anomalies.
• Own the full lifecycle of data tool development from prototyping with LLMs to production deployment and quality monitoring.

Benefits

• Equity

Culture

Requirements