Agentic Finance Engineer
Technologies
SQL · Python · dbt · FiveTran · Snowflake · BigQuery · Airflow · AI agents · LLM · ETL
About Mercor
Marketplace matching domain experts (doctors, lawyers, scientists, engineers) with AI labs to generate post-training data, evaluations, and reinforcement learning signal.
Series C
Job description
The full responsibilities and requirements are on the employer’s site.
Open application page ↗Source and classification
Internal deployment & tooling · Evidence for this classification:
valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. About the Role This is a rare, foundational hire: Mercor's first Agentic Finance Engineer. You'll sit at the intersection of finance, data engineering, and applied AI — building the systems and infrastructure that power how our finance and corporate operations team runs. You will design and deploy the modern data and automation stack from the ground up: architecting scalable financial data models, integrating AI agents into real workflows, and turning manual, spreadsheet-driven processes into reliable, production-grade systems. The ideal candidate has deep finance domain knowledge — you understand how the books actually close, how procurement flows, how revenue is recognized — and the technical fluency to translate that understanding into durable, automated systems. You're equally
More from the job description
About Mercor Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. About Mercor Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30 [... source excerpt omitted ...] lion. We work in-person five days a week in our San Francisco, NYC, or London offices. About the Role This is a rare, foundational hire: Mercor's first Agentic Finance Engineer. You'll sit at the intersection of finance, data engineering, and applied AI — building the systems and infrastructure that power how our finance and corporate operations team runs. You will design and deploy the modern data and automation stack from the ground up: architecting scalable financial data models, integrating AI agents into real workflows, and turning manual, spreadsheet-driven processes into reliable, production-grade systems. The ideal candidate has deep finance domain knowledge — you u [... source excerpt omitted ...] nto durable, automated systems. You're equally comfortable in a SQL editor and in a conversation with the CFO, and you're energized by building in a zero-to-one environment. What You'll Do Finance Data & Systems Facilitate the design, build, and maintenance of a reliable financial data foundation using modern tools (.g. dbt, FiveTran, Snowflake/BigQuery, Airflow), covering revenue, AP/AR, procurement, close, strategic finance and FP&A Partner closely with data infrastructure team to build Mercor's financial data model: define canonical datasets, dimensional schemas, and the transformation logic that serves Finance stakeholders Partner with Finance leads across accounting,
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