AI Data Engineer (Agent Platform)

📋 Description

• Build an end-to-end analytics system.
• Create a natural language interface over the data stack.
• Enable analyses without writing SQL.
• Own and improve the data layer with clean models.
• Build and maintain data pipelines end-to-end.
• Develop agent infrastructure for data retrieval and execution.

🎯 Requirements

• Experience with data modeling, data warehouses, and ETL pipelines.
• Built with LLMs, RAG, or agents in production.
• Ship production data systems; ensure data accuracy and trust.
• Design clean, scalable data models and schemas.
• Turn vague problems into production-ready systems.
• Communicate effectively with technical and non-technical stakeholders.

🎁 Benefits

• Hybrid work: SF base with in-office/remote flexibility.
• Fresh lunch provided on in-office days.
• Commuter support: $150 monthly transit reimbursement.
• Health & Wellness: $200 quarterly reimbursement.
• Flexible PTO plus 14 company holidays.
• 401k + equity package.