Head of Finance Systems & Automation

Scale AI Scale AI · Data AI · San Francisco, CA · Data, Technology & Systems

This role leads the strategy, implementation, and improvement of Scale AI's finance technology stack, focusing on AI automation to eliminate manual workflows and enhance financial data. The Head of Financial Systems will own the ERP, drive process excellence, deploy AI/LLM-powered agents for finance automation, design integrations, ensure controls, partner with finance leadership, and lead a team.

What you'd actually do

  1. Own the full lifecycle of our ERP environment (NetSuite or equivalent), including architecture, configuration, integrations, and roadmap.
  2. Drive end-to-end process excellence across Order-to-Cash (Sales/Revenue Capture, Sales Audit, Billing) and Procure-to-Pay (Direct & Indirect Purchasing).
  3. Identify opportunities to replace manual finance workflows with AI/LLM-powered agents. Build and manage internal agents that automate forecasting inputs, variance analysis, close task management, and reconciliation — reducing cycle time and surfacing actionable insights for Finance leadership.
  4. Design scalable data flows and APIs that connect the ERP to adjacent finance tools (billing, expense, FP&A, treasury) into a cohesive, auditable ecosystem.
  5. Establish disciplined change management, clear data governance, and measurable SLAs across all financial systems.

Skills

Required

  • 8+ years of experience leading finance systems or enterprise application functions
  • Deep, hands-on knowledge of ERP platforms (NetSuite strongly preferred)
  • Strong understanding of Order-to-Cash and Procure-to-Pay process design
  • Strong understanding of Sox IT General controls and track record implementing them
  • Proven track record designing and deploying AI/LLM-powered workflows or agentic systems
  • Ability to design and govern scalable integrations and data flows across SaaS tools
  • Experience influencing Finance leadership
  • Proficiency is an iPaaS platform (e.g., Workato, Mulesoft, Boomi, etc.)
  • Proficiency in Python or SQL
  • Familiarity with adjacent Finance tooling: expense management, FP&A platforms, billing systems, and treasury tools

Nice to have

  • Workato Certification

What the JD emphasized

  • AI Agent Deployment
  • AI/LLM-powered agents
  • agentic systems

Other signals

  • AI/LLM-powered agents
  • automate forecasting inputs, variance analysis, close task management, and reconciliation
  • reduce cycle time and surfacing actionable insights
  • proven track record designing and deploying AI/LLM-powered workflows or agentic systems