Director, Business Systems

Scale AI•San Francisco, CA

22h

About The Position

The Director of Business Systems will be responsible for building real depth across Finance, GTM, Operations, and People systems, connecting these capabilities into a powerful, AI-integrated backbone. You are a builder-first leader who will blend enterprise architecture with cutting-edge AI automation. Your goal is to eliminate fragmentation and enable every function to move faster by deploying internal AI agents that reduce manual work and surface actionable insights. You will lead the charge in making our internal operations as sophisticated as the external products we build.

Requirements

10+ years of experience leading business systems or enterprise applications in a fast-paced, high-growth environment.
Technical Depth: Strong functional understanding of Salesforce (or equivalent CRM), NetSuite (or equivalent ERP), and Workday (or equivalent HRIS).
AI/Automation Mindset: Proven track record of designing and deploying AI/LLM-powered workflows or agentic systems to improve business efficiency.
Architecture Skills: Ability to design scalable data flows and APIs that link disparate SaaS tools into a cohesive ecosystem.
Stakeholder Mastery: Experience influencing C-level executives and translating complex technical needs into business outcomes.
Skilled in Python or SQL to personally audit or prototype automation logic.
Extensive experience and In depth knowledge of the functionality of the ERP modules with emphasis on 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
Experience with GTM systems such as, HubSpot, Outreach, Clari, CPQ (e.g., Salesforce CPQ), and similar tools.

Responsibilities

Enterprise Application Strategy: 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.
AI Agent Deployment: 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.
Cross-Functional Partnership: 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.
Operational Excellence: Mature our core systems by establishing disciplined change management, clear data governance, and measurable SLAs. Stabilize environments to support audit and regulatory requirements.
Team Leadership: Lead a high-impact team that fosters a culture of curiosity, speed, and user-centricity.