Finance Engineer

Role Description

There's a new archetype taking shape in finance: someone who pairs real finance judgment with the ability to build their own solutions — wiring AI agents into the GL, standing up data pipelines without filing an engineering ticket, automating workflows end to end instead of running them by hand. VulnCheck's finance function is scaling across three entities (US, UK, Singapore), and we need someone who builds the systems and AI-driven workflows that keep Finance accurate and fast as we outgrow manual processes.

• AI-driven close & reporting workflows.
• Build Claude-powered workflows that draft variance commentary, flag anomalies, and assemble reporting packages.
• Financial systems & pipelines.
• Connect our GL, billing, CRM, and spend management systems into a single source of truth for ARR, cash, and unit economics, through API/MCP connections you own rather than tickets you file.
• Model infrastructure.
• Own the technical architecture behind the financial model, including version control, forecast wiring, and scenario logic, so it stops needing a manual rebuild every quarter.
• Dashboards & reporting automation.
• Build self-serve dashboards for ARR roll-forward, cohort retention, burn multiple, and deferred revenue that are live and drillable instead of rebuilt by hand each cycle.
• Close automation.
• Take manual steps out of the monthly and quarterly close through scripting, AI agents, and system integration.
• Audit & controls support.
• Build documented, repeatable data workflows that hold up under external audit scrutiny (ASC 606, ASC 830, transfer pricing). Automated doesn't mean uncontrolled.
• Cross-functional data requests.
• Be the technical bridge between Finance and GTM, RevOps, and Engineering when a question just needs someone to query the data instead of waiting on someone else to pull it.

Qualifications

• LLM fluency: real, daily use of Claude (or similar) to analyze data, draft narratives, and check outputs against source documents.
• Workflow automation: you've actually found a manual, recurring process and killed it, not just wanted to.
• Systems integration: you understand how data flows through a GL/ERP, know basic SQL and API principles, and can connect two systems yourself without opening an engineering ticket.
• Data literacy: you can read a GL, understand revenue recognition and ARR/cohort concepts, and can tell when a dataset is incomplete or wrong before it reaches the board.

Requirements

• Demonstrated hands-on use of AI tools (Claude, ChatGPT, Copilot, or similar) in a real finance or accounting workflow. Active daily use, not just familiarity.
• Working SQL skills. Comfortable querying and modeling real datasets.
• Core finance/accounting fluency: GL literacy, revenue recognition basics, an FP&A or accounting background.
• Evidence of having automated or systematized a manual process end to end.

Preferred Qualifications

• Experience connecting AI tools to live systems via API or MCP (Model Context Protocol).
• Exposure to a BI or semantic layer tool (Looker, dbt, or similar).
• Prior FP&A, accounting, or RevOps role at a B2B SaaS company.
• Experience operating through an external audit cycle.
• Exposure to multi-entity or multi-currency finance operations.

Benefits

• Unlimited PTO
• 401k plan with company match
• Comprehensive healthcare coverage
• Generous paid parental leave
• Remote friendly environment with flexibility
• Expense reimbursement for Cell Phone & Internet
• Ongoing professional development, coaching, and learning resources
• Opportunities for career advancement within a fast-growing team