Agentic Finance Engineer at Mercor

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Jul, 26

Salary

250000.0

Posted On

19 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data engineering, Financial modeling, AI agents, Automation, dbt, FiveTran, Snowflake, BigQuery, Airflow, FP&A, Data architecture, Financial operations, Strategic finance, Accounting

Industry

Software Development

Description

About Mercor Mercor is defining the future of work. 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 30,000 experts in our network collectively earn over $2 million a day. 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 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 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, 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 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 Governance, Quality & Scale 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 What We're Looking For 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 Bonus Points 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 Compensation Base cash comp from $175K - $250k Aggressive bi-annual performance bonus structure Generous equity grant vested over 4 years Up to $15k Relocation bonus $10K housing bonus (if you live within 0.5 miles of our office) $1.5K monthly stipend for meals Free Equinox membership $200 monthly laundry reimbursement $200 monthly personal wellness reimbursement Health, Dental, Vision insurance 401(k) with company match

Responsibilities

You will design and deploy a modern financial data and automation stack while integrating AI agents into core finance workflows. This role involves building scalable data models and internal tooling to eliminate manual processes and provide real-time visibility for finance leadership.