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HomeCompaniesMercorAgentic Finance Engineer

Agentic Finance Engineer

Mercor · San Francisco · On Site · Active · Ashby

Job facts

FieldValue
CompanyMercor
TitleAgentic Finance Engineer
Normalized title-
Department / teamFinance / Finance , Finance
LocationSan Francisco, CA, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Mercor.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Finance.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyMercor
Source8a2bb184-0550-471f-814d-47b207e73710
ATS providerAshby

Description

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 $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 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

Full job record

Job IDd90c560892f71f4789e13fd0f4a93c16c7ad08be
Org ID3454cf47-ee94-47fc-918e-00dca2cf958a
Source ID8a2bb184-0550-471f-814d-47b207e73710
Board ID8a2bb184-0550-471f-814d-47b207e73710
Providerashby
Provider Job Keyc019b11f-4fbb-46a2-bbad-338ba8f4bedb
TitleAgentic Finance Engineer
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco
DepartmentFinance
TeamFinance , Finance
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/mercor/c019b11f-4fbb-46a2-bbad-338ba8f4bedb
Apply URLhttps://jobs.ashbyhq.com/mercor/c019b11f-4fbb-46a2-bbad-338ba8f4bedb/application
First Seen At2026-05-29 06:25:55Z
Last Seen At2026-06-06 09:21:37Z
Last Checked At2026-06-06 09:21:37Z
Last Changed At2026-05-29 06:25:55Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=mercor/date=2026-06-06/2026-06-06T09-21-01-699Z-54895e1da84fc7c39f2fb10eec58ccde13eafa9d3a21906c65077fbb39cfaabf.json
Event Fields
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  "last_changed_at": "2026-05-29T06:25:55.233Z",
  "active_status": "active"
}
Parsed Structured
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  "launch_scope": {
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}
Extensions
{}
Native Structured
{
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  "team": "Finance , Finance",
  "title": "Agentic Finance Engineer",
  "jobUrl": "https://jobs.ashbyhq.com/mercor/c019b11f-4fbb-46a2-bbad-338ba8f4bedb",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/mercor/c019b11f-4fbb-46a2-bbad-338ba8f4bedb/application",
  "isListed": true,
  "isRemote": false,
  "location": "San Francisco",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Finance ",
  "publishedAt": null,
  "workplaceType": "OnSite",
  "employmentType": "FullTime",
  "secondaryLocations": []
}
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