AI Data Engineer (Agent Platform)

Collective is on a mission to redefine the way businesses-of-one work. They are seeking a Senior AI Data Engineer to build an internal data agent that allows anyone in the company to act as their own data analyst, facilitating access to data and insights through a natural language interface.

Responsibilities:

• Develop agent infrastructure
• Build retrieval, planning, and execution systems on top of real data
• Support multi-step reasoning and analysis workflows
• Integrate into internal tools
• Build an end-to-end analytics system
• Create a natural language interface over our entire data stack
• Enable anyone to run complex analyses without writing SQL
• Own and improve the data layer
• Collaborate with product engineering to design and evolve clean, consistent data models
• Identify inconsistencies in the core schema and resolve them at the source
• Build and maintain data pipelines
• Own the reliability of our data infrastructure end-to-end
• Debug and fix broken systems (e.g. dbt models, pipeline failures)
• Make it easy to integrate new data sources into the data warehouse
• Make it trustworthy
• Ensure outputs are correct, consistent, and explainable
• Build evaluation loops, monitoring, and guardrails
• Eliminate ambiguity in metrics, definitions, and sources of truth
• Handle permissions, sensitive data, and edge cases
• Drive adoption
• Work directly with teams across EPD, Member Operations, Legal, and more
• Drive alignment on data definitions and system usage
• Turn this into the default way people interact with data