FP&A Manager
Own corporate financial models, SaaS metrics reporting, and strategic forecasting as an individual contributor reporting to the CFO. Drive budgeting, variance analysis, KPI tracking, and board/investor reporting for a B2B SaaS company.
Finance Systems & AI Engineer
Own Finance data infrastructure, system integrations, and AI automation. Design EPM platforms, automate financial close processes, and build agentic workflows using Python, BigQuery, and dbt.
130k – 163kSan Francisco, CAFinance & AccountingHybrid5+ YOE
About the role
Finance Systems Architecture & Integration
- 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
EPM Platform Ownership
- 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
Financial Close Automation
- Partner with the Controller to identify and automate the highest-cost manual steps in the monthly close: reconciliations, journal entry support, accrual calculations, and intercompany matching
- Build automated pipelines that produce a reliable, fully-loaded P&L forecast each month
AI Automation & Agentic Workflows
- Identify high-ROI automation opportunities across the FP&A and close cycle like variance analysis, anomaly detection, reconciliation; build agents and pipelines to eliminate them
- Design human-in-the-loop controls and auditability frameworks so automated outputs are trustworthy and SOX-compliant
- Build using the right tools for the job: Python for prototyping and scripting automation logic, BigQuery + dbt for data transformation
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
- Proficiency in Python (or equivalent) for scripting, prototyping automation logic, and quality-checking AI-generated outputs
- 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
Skills
PythonBigQuerydbtNetSuiteEpmIpaasFP&AData GovernanceAi/Llm AutomationSOX Compliance
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