Agentic Finance Engineer

What You'll Do

Finance Data & Systems

• 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 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
• Very proficient in SQL and Python. 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