Agentic Finance Engineer

Mercor•San Francisco, CA

1d•$175 - $250•Onsite

About The Position

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 comfortable in a SQL editor and in a conversation with the CFO, and you're energized by building in a zero-to-one environment.

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
You should be very proficient in SQL and Python. While you can learn data & workflow orchestration tools on-the-job, we expect you to have a very strong computer science fundamentals.
A builder's instinct: you take ownership of problems, move fast, and know when to do things properly versus pragmatically
Excellent communication skills — you can explain a data model to a CFO and a pipeline architecture to an engineer
Experience navigating ambiguity in early-stage or rapidly scaling environments

Nice To Haves

Hands-on experience deploying AI agents or LLM-powered tools
Experience with financial data governance and audit readiness
Background in strategic finance, accounting, FP&A, or finance transformation — or time spent in a high-growth tech company's finance function

Responsibilities

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, 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