Member of Technical Staff - Agent Data
Design and maintain data infrastructure that ingests, validates, and transforms accounting data into reliable datasets for AI and agent-based systems. Define schemas and data contracts, implement validation and observability, and collaborate with AI researchers on iterative experimentation and multi-agent coordination.
Responsibilities
- 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
Requirements
- 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 reliable, observable data systems
- Proficiency with data validation, data lineage tracking, and drift detection
- Ability to define and enforce data contracts and interoperability protocols between agents
- Familiarity with research and development workflows for agentic systems, feedback loops, dynamic data flows, and multi-agent coordination
- Experience collaborating with AI researchers to optimize datasets and pipelines
- Familiarity with accounting, financial data, or similar domains preferred
Benefits
- $200K–$400K equity