Mercor
Agentic Finance Engineer
San Francisco · Exec
Sponsorship not specified$175k-$250kDetected 94 days ago
SQLBigQuerySnowflakeAirflowdbtData EngineeringData ScienceLLMsAgentic AIAI OrchestrationAccountingFP&AProcurementAR/VRResearchCommunicationVariance Analysis
About the role
- This is a rare, foundational hire: Mercor's first Agentic Finance Engineer.
- 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.
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
- 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
- Champion a culture of data quality and documentation so that Finance teams trust and rely on the systems you build
- We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.
- 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.
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
- While you can learn data & workflow orchestration tools on-the-job, we expect you to have a very strong computer science fundamentals.
- 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
- Hands-on experience deploying AI agents or LLM-powered tools
- Experience with financial data governance and audit readiness
Compensation
- Base cash comp from $175K - $250k
- Free Equinox membership
- 401(k) with company match
Benefits
- 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
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, Dental, Vision insurance
Company info
- 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 $3 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.
- Mercor's mission is to organize human intelligence to power the AI economy.
This listing is sourced directly from Mercor's careers page and normalized into a canonical job model.