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职位Mercor

Agentic Finance Engineer

Mercor

Agentic Finance Engineer

Mercor

San Francisco

·

On-site

·

Full-time

·

1d ago

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, Five Tran, Snowflake/Big Query, 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

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关于Mercor

Mercor

Mercor

Seed

Mercor is an AI-powered platform that connects companies with vetted software engineers and technical talent through automated screening and matching processes.

1-50

员工数

San Francisco

总部位置

评价

4.0

10条评价

工作生活平衡

3.2

薪酬

3.5

企业文化

4.3

职业发展

3.4

管理层

4.2

72%

推荐给朋友

优点

Supportive management

Great team culture and collaboration

Good benefits and vacation policy

缺点

Heavy workload and overtime

Communication issues

Non-competitive pay

薪资范围

6个数据点

Mid/L4

Mid/L4 · Machine Learning Engineer

1份报告

$210,126

年薪总额

基本工资

$161,637

股票

-

奖金

-

$210,126

$210,126

面试经验

3次面试

难度

3.0

/ 5

录用率

67%

体验

正面 0%

中性 67%

负面 33%

面试流程

1

Application Review

2

AI Interview

3

Domain Expertise Assessment

4

Offer

常见问题

Domain Knowledge

Behavioral/STAR

Leadership Experience

Industry Expertise