Member of Technical Staff - Agent Data

ABOUT THE ROLE

- Design data pipelines that ingest, validate, and transform accounting data into clean, reliable datasets.

- Define schemas and data contracts that balance flexibility with correctness.

- Build validation, lineage tracking, and drift detection into every pipeline.

- Create interfaces that make data discoverable, computable, and observable throughout the system.

WHO WE'RE LOOKING FOR

- Experience designing, building, and maintaining robust data pipelines at scale, particularly for AI and agent-based systems.

- Strong knowledge of data modeling, schema design, and building reliable, observable data systems.

- Proficiency with data validation, tracking data lineage, and implementing drift detection.

- Ability to define and enforce data contracts and protocols for seamless data exchange and interoperability between different Agents within an applied AI environment.

- Familiarity with supporting research and development workflows for agentic systems, including feedback loops, dynamic data flows, and multi-agent coordination.

- Experience collaborating with AI researchers to optimize datasets and pipelines for iterative experimentation and innovation.

- Familiarity with accounting, financial data, or similar domains (preferred).