Member of Technical Staff - Agent Data
Entendre Finance provides an AI-powered, automated accounting platform designed for the Web3 ecosystem. It helps businesses, accounting firms, and individuals manage digital assets by tracking, reconciling, and analyzing on-chain transactions from DeFi, NFTs, and other crypto activities. The platform integrates with existing financial software to streamline workflows, provide real-time financial reporting, and simplify the complexities of crypto accounting.
Funding
About Entendre Finance
Entendre Finance offers a comprehensive, AI-powered accounting platform designed to automate and simplify financial operations for the digital asset economy. Serving a diverse clientele including Web3 teams, accounting firms, DeFi protocols, NFT projects, and large enterprises, the platform acts as a single source of truth by integrating with numerous blockchains, crypto exchanges, and traditional accounting software like Quickbooks, Xero, and Netsuite. Key features include a crypto sub-ledger, automated transaction reconciliation, real-time financial reporting, treasury management, and support for complex scenarios like multi-entity accounting, DeFi activities, and NFT inventory tracking. By leveraging AI agents and a rules-based engine, Entendre transforms complex on-chain data into audit-ready, GAAP/IFRS compliant financial statements, enabling businesses to save significant time, enhance accuracy, and make data-informed decisions.
Skills
About the Role
You will design data pipelines that ingest, validate, and transform accounting data into clean, reliable datasets. You'll define schemas and data contracts that balance flexibility with correctness, and build validation, lineage tracking, and drift detection into every pipeline you create. You will also craft interfaces that make data discoverable, computable, and observable throughout the system, working closely with AI researchers to optimize datasets and pipelines for iterative experimentation and multi-agent coordination.
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 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)
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 throughout the system