Agentic Finance Engineer

Requirements

• 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.
• Mercor is creating a new category of work where expertise powers AI advancement.
• You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society.
• 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 comfortable in a SQL editor and in a conversation with the CFO, and you're energized by building in a zero-to-one environment.
• 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, strategic finance, and operations to translate business
• requirements into technical architecture - Build and maintain dashboards and self-serve reporting tools that give finance leaders real-time visibility into key metrics AI & Automation - Own the Agentic Finance roadmap – prioritizing use cases and driving features from ideation to deployment - Identify high-value automation opportunities across Finance and corporate operations — month-end close tasks, reconciliations, procurement workflows, variance analysis — and ship solutions that eliminate manual work -
• experience spanning finance operations, data engineering, analytics engineering, data science, or a combination — with a track record of shipping reliable systems in high-growth environments - Understand the data needs of finance and corporate operations, including accounting, finance operations, FP&A, strategic finance, and procurement - You should be very proficient in SQL and Python.