--- title: 'Agentic Finance Engineer at Mercor' canonical: 'https://feeny.ai/job/agentic-finance-engineer-mercor-san-francisco-qq0z4r4v90ep' type: 'job' last_seen: '2026-09-12' --- # Agentic Finance Engineer at Mercor - **Company:** Mercor - **Location:** San Francisco, CA - **Compensation:** $175k–$250k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-04-18 - **Last confirmed live:** 2026-09-12 - **Apply:** https://jobs.ashbyhq.com/mercor/c019b11f-4fbb-46a2-bbad-338ba8f4bedb/application **Skills:** SQL, Python, dbt, FiveTran, Snowflake, BigQuery, Airflow, Financial Data Modeling, ETL, APIs, AI Agents, LLM-powered tools, Financial Data Governance, Strategic Finance, FP&A > Design and deploy modern data and automation stacks for finance and corporate operations, integrating AI agents to automate workflows. The role involves building scalable financial data models, ensuring data integrity, and partnering with finance leads to translate business requirements into technical architecture. ## Job description ## About Mercor Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents. 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 Mercor Mercor's mission is to organize human intelligence to power the AI economy. 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 $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. ## 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 - 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 ## About Mercor ## Company Overview - **One-liner**: Mercor organizes human intelligence to power the AI economy by connecting domain experts with frontier AI labs and enterprises for model training, evaluation, and deployment. - **Entity Type**: Private (Series C) - **Headquarters**: San Francisco, California, USA (with offices in New York City and London) - **Founded**: 2023 - **Founders**: Brendan Foody & Adarsh Hiremath (Co-founders & Co-CEOs) ## Core Business - Primary industry: AI Data & Infrastructure, Human-in-the-Loop AI, Enterprise AI - Target customers: Frontier AI labs (OpenAI, Anthropic, etc.), Fortune 500 enterprises deploying AI in production, and domain experts seeking high-value AI work - Mission: Organizing human intelligence to power the AI economy — building the layer between human expertise and frontier models. ## Products & Services - **Mercor Platform**: A global network of millions of domain experts across 300+ professional fields, paid over $3 million per day to train frontier AI models. Experts are found and vetted using dynamic, role-specific AI interviews. - **APEX Benchmark**: A benchmark family that measures AI's real-world impact on professional work, setting a standard for whether AI can perform economically valuable work. - **Mercor Enterprise**: Brings Mercor's expert network and evaluation infrastructure to Fortune 500 companies, deploying custom AI agents, staffing teams with vetted domain experts, and helping organizations encode their own knowledge into AI systems. ## Market Standing - **Valuation**: $10 billion valuation (as of Series C) - **Key Metric**: Total Funding — $350 million Series C (recently raised); company is profitable - **Notable Investors/Partners**: Not explicitly named in provided sources, but the company works with leading AI labs and Fortune 500 enterprises - **Growth Signals**: - Named to Bloomberg's "2026 24 AI Startups to Watch" - Forbes AI 50 (2025) - Forbes Cloud 100 (2025) - LinkedIn Top Startup (2025) - Described as "the fastest-growing company in the world" - Tens of thousands of skilled professionals earning an average of more than $95/hour on the platform ## Competitive Advantages - **Massive, vetted expert network**: Millions of domain experts across 300+ fields, found and vetted via AI-driven interviews — a hard-to-replicate moat. - **Direct frontier model exposure**: Every team works directly with frontier models, training them and building around them — most companies haven't imagined this level of integration. - **Profitability at scale**: Profitable at Series C with a $10B valuation, indicating strong unit economics. - **End-to-end AI infrastructure**: From expert sourcing and vetting to model evaluation (APEX) to enterprise deployment — a vertically integrated stack. ## Strategic Focus - **Scaling the expert network**: Continuing to onboard millions of domain experts globally to meet the insatiable demand for high-quality human training data. - **Enterprise AI deployment**: Expanding Mercor Enterprise to help Fortune 500 companies encode organizational knowledge into AI systems and deploy custom agents. - **Benchmarking AI's economic impact**: Growing the APEX benchmark as the standard for measuring whether AI can perform economically valuable work. - **Preparing for AGI**: The company's founding thesis is about answering what role humans will play in the economy as AGI approaches. ## Why Work Here - **Culture**: "Built for people who thrive in high-velocity environments." Values include Intensity, Simplicity, User Obsession, High Standards, Can-Do Attitude, and Time Travelers (thinking ahead). - **Work model**: In-person collaboration from offices in San Francisco, New York City, and London. No remote option — the company believes in-person collaboration helps move faster and solve harder problems. - **Engineering culture**: Direct exposure to frontier AI research, labs, and startups. Every team works with frontier models daily. Described as "the fastest-growing company in the world." - **Compensation**: Generous equity grants, competitive salaries (ranges from $100K–$500K depending on role), and a "proximity bonus" (generous annual housing support). - **Benefits**: - Unlimited paid vacation and sick days - Free Equinox membership (premium fitness access) - Monthly wellness stipend and free mental health services - Monthly food stipend - 401k with employer match - Parental leave for both birthing and non-birthing parents - **Team**: "A team of ambitious, diverse people who want to work on what matters most." Open roles across Engineering (31 roles), Operations (15 roles), Enterprise (5 roles), Finance (4 roles), and more. ## Sources 1. [mercor.com](https://www.mercor.com/) 2. [mercor.com/careers](https://www.mercor.com/careers/) 3. [mercor.com/mission](https://www.mercor.com/mission/) 4. [jobs.ashbyhq.com/mercor](https://jobs.ashbyhq.com/mercor) 5. 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