Director of Technology & Systems

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

Director of Technology & Systems role focused on building an AI-integrated backbone for internal operations (Finance, GTM, Operations, People systems) by deploying AI agents to automate manual workflows, reduce manual work, and surface insights. The role blends enterprise architecture with AI automation to connect disparate SaaS tools into a cohesive, scalable ecosystem.

What you'd actually do

  1. Enterprise Application Strategy: Own the full lifecycle of our application ecosystem, and specialized AI tools. Ensure these systems converge into a secure, scalable backbone.
  2. 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.
  3. 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.
  4. 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.
  5. Team Leadership: 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
  • 10+ years of experience leading business systems or enterprise applications
  • Deep familiarity with the enterprise systems landscape across GTM, Finance, and People functions
  • 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.
  • Strong working knowledge of ERP systems and core financial operations
  • Experience with GTM systems such as, HubSpot, Outreach, Clari, CPQ (e.g., Salesforce CPQ), and similar tools.

Nice to have

  • AI-integrated backbone
  • AI/LLM-powered agents
  • agentic systems

What the JD emphasized

  • AI-integrated backbone
  • AI Agent Deployment
  • AI/LLM-powered agents
  • agentic systems
  • audit and regulatory requirements

Other signals

  • deploying internal AI agents
  • AI-integrated backbone
  • AI/LLM-powered agents
  • automate forecasting, revenue capture, and employee self-service