Technology
Member of Technical Staff - Agent Data
Entendre
Ashby
- Location
- New York City, United States
- Type
- FullTime
- Salary
- Salary not specified
- Posted
- 9 May 2026
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 a
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).