Director, Business Systems

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

This role focuses on building and deploying internal AI agents and LLM-powered workflows to automate business processes across Finance, GTM, Operations, and People systems. The goal is to create an AI-integrated backbone for internal operations, connecting enterprise applications and reducing manual work.

What you'd actually do

  1. Own the full lifecycle of our application ecosystem, including ERP (Finance), CRM (GTM), HRIS (People), and specialized AI tools. Ensure these systems converge into a secure, scalable backbone.
  2. Identify opportunities to replace manual workflows with AI/LLM-powered agents. Build and manage "internal agents" that automate forecasting, revenue capture, and employee self-service.
  3. Serve as the primary technology partner to the leadership team. Align system roadmaps with departmental goals to ensure seamless data flow from production to the back office.
  4. Mature our core systems by establishing disciplined change management, clear data governance, and measurable SLAs. Stabilize environments to support audit and regulatory requirements.
  5. Lead a high-impact team that fosters a culture of curiosity, speed, and user-centricity.

Skills

Required

  • Enterprise Application Strategy
  • AI Agent Deployment
  • Cross-Functional Partnership
  • Operational Excellence
  • Team Leadership
  • Salesforce (or equivalent CRM)
  • NetSuite (or equivalent ERP)
  • Workday (or equivalent HRIS)
  • Python
  • SQL
  • ERP modules (Sales – Order to Cash & Sales Audit, Purchasing – Direct & Indirect and Finance - General Ledger, AP & AR, Procure to Pay, Sales Audit, Fixed Assets, International Consolidations & Reporting)
  • GTM systems (HubSpot, Outreach, Clari, CPQ)

Nice to have

  • enterprise architecture
  • cutting-edge AI automation
  • scalable data flows
  • APIs

What the JD emphasized

  • AI-integrated backbone
  • AI automation
  • internal AI agents
  • AI/LLM-powered agents
  • AI/LLM-powered workflows
  • agentic systems

Other signals

  • deploying internal AI agents that reduce manual work
  • automate forecasting, revenue capture, and employee self-service
  • designing and deploying AI/LLM-powered workflows or agentic systems