Senior Finance Systems & AI Engineer

About the role

Ironclad is seeking a Senior Finance Systems & AI Engineer to own the data infrastructure, system integrations, and AI automation that power Finance teams at the leading AI contracting platform. This role sits within the Finance organization and reports directly to the VP of FP&A with a dotted line to the Controller, positioning the hire as a strategic owner of financial operations and tooling. The person in this role will architect reliable, low-manual-touch integrations across the Finance stack using iPaaS platforms or equivalent, ensuring seamless data flow and system reliability. They will partner with Data Engineering on BigQuery pipelines that serve as the analytics layer for Finance, translating complex data needs into robust technical solutions. The hire will own the Finance systems roadmap end-to-end, from strategic design to implementation, while defining and enforcing data governance standards such as field definitions, hierarchy taxonomy, department and cost-center mapping, and change-control SLAs. They will also own FP&A planning platform end-to-end, including model architecture, formula logic, dimension hierarchies, integration design, long-range planning (LRP), rolling forecasts, full-year budgeting, and headcount planning. By identifying high-ROI automation opportunities across the FP&A and close cycle, such as variance analysis, anomaly detection, and reconciliation, the Senior Finance Systems & AI Engineer will build agents and pipelines to eliminate manual work and drive efficiency. This role requires designing human-in-the-loop controls and auditability frameworks so automated outputs remain trustworthy and SOX-compliant, ensuring that AI-driven processes support strong internal controls. The successful candidate will have a proven track record of delivering outcomes through system ownership and cross-functional collaboration, using data and automation to accelerate business decisions.

Key facts

What you'll do

• Design and maintain reliable, low-manual-touch integrations across the Finance stack using iPaaS platforms or equivalent.
• Partner with Data Engineering on BigQuery pipelines that serve as the analytics layer for Finance.
• Own the Finance systems roadmap end-to-end, from strategic design to implementation.
• Define and enforce data governance standards: field definitions, hierarchy taxonomy, department and cost-center mapping, and change-control SLAs.
• Own FP&A planning platform end-to-end: model architecture, formula logic, dimension hierarchies, integration design, long-range planning (LRP), rolling forecasts, full-year budgeting, and headcount planning.
• Configure EPM so each FP&A analyst owns their planning area independently with minimal admin bottleneck.
• Partner with the Controller to identify and automate the highest-cost manual steps in the monthly close, such as reconciliations, journal entry support, accrual calculations, and intercompany matching.
• Build automated pipelines that produce a reliable, fully-loaded P&L forecast each month.
• Identify high-ROI automation opportunities across the FP&A and close cycle like variance analysis, anomaly detection, reconciliation, and build agents and pipelines to eliminate them.
• Design human-in-the-loop controls and auditability frameworks so automated outputs are trustworthy and SOX-compliant.

Requirements

• 5+ years in Finance and 3+ Years in Finance Systems, Business Applications, or FP&A Engineering at a high-growth technology company, with demonstrated ownership of outcomes rather than tickets.
• AI-first mindset and hands-on experience: you've built or deployed AI/LLM-powered automation in a Finance or operations context.
• Deep hands-on experience with at least one modern EPM platform including data model design, formula logic, and integration configuration.
• Working knowledge of NetSuite (or equivalent ERP) including chart of accounts, dimensions, reporting structures, and API/integration patterns.
• Demonstrated ability to translate complex business requirements into scalable data models and system configurations.
• Experience with cloud data platforms such as BigQuery and orchestration tools relevant to Finance data pipelines.
• Strong understanding of financial close processes, including reconciliations, journal entries, accruals, and intercompany accounting.
• Excellent communication skills to partner with cross-functional stakeholders and translate technical constraints into business-friendly explanations.

Nice to have

• Experience with planning and consolidation platforms such as Anaplan, Adaptive Insights, or similar EPM tools.
• Familiarity with AI agent frameworks and prompt engineering for operational workflows.
• Background in audit, compliance, or SOX control design related to automated financial processes.

Practical notes

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Location: San Francisco.

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Engagement: Full-time.

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Compensation: Base Salary Range: $130,000.00 - $163,000.00.

• This role reports directly to the VP of FP&A with a dotted line to the Controller.
• US Full-Time Employee Benefits include 100% health coverage for employees, paid time off, family forming support, and 401(k) with employer match.