About This Role
This is a foundational role as Mercor's first Agentic Finance Engineer, sitting at the intersection of finance, data engineering, and applied AI. The engineer will build the systems and infrastructure that power the finance and corporate operations team, designing and deploying a modern data and automation stack from the ground up.
Responsibilities
- Facilitate the design, build, and maintenance of a reliable financial data foundation using modern tools (e.g., dbt, FiveTran, Snowflake/BigQuery, Airflow), covering revenue, AP/AR, procurement, close, strategic finance, and FP&A
- Partner closely with the 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
- 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
- Build intelligent, reliable automation via agents (in partnership with engineering teams), AI-powered tools, and multi-step ETL jobs into live finance workflows, using APIs (including frontier models)
- Build internal tooling that Finance teams actually use: lightweight apps, workflow automations, and AI-assisted processes that save meaningful time at scale
- Stay at the frontier of what's possible with AI in Finance (meeting other finance teams, reading research, etc.), and proactively bring new capabilities to bear on Mercor's highest-leverage operational problems
- Enforce data integrity standards and testing practices across all financial data products — ensuring auditability and reliability for a maturing Finance function
- Ensure AI-assisted processes meet appropriate governance and controls standards, with clear auditability of model outputs used in financial workflows
- Champion a culture of data quality and documentation so that Finance teams trust and rely on the systems you build
Requirements
- 3+ years of 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
- Very proficient in SQL and Python
