# Director of Technology & Systems

**Company:** [Scale AI](https://hotfix.jobs/companies/scale-ai)
**Location:** San Francisco, CA
**Role:** Engineering Management
**Salary:** $235k – $294k/yr
**Experience:** 10+ years
**Skills:** AI, LLMs, HubSpot, Outreach, Clari, Salesforce Cpq, ERP, APIs, Data Governance, Enterprise Architecture
**Posted:** 2026-05-13

> Leads technology and systems across Finance, GTM, Operations, and People, building AI-integrated backbones with internal agents to automate workflows and enable data flow. Requires 10+ years leading enterprise applications, AI automation experience, and GTM tool expertise.

## Job Description

## Key Responsibilities

- **Enterprise Application Strategy**: Own the full lifecycle of our application ecosystem, 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.

## Ideally, you have

- 10+ years of experience leading business systems or enterprise applications in a fast-paced, high-growth environment.
- Deep familiarity with the enterprise systems landscape across GTM, Finance, and People functions — you understand how these platforms work, where they break down, and how to connect them into a coherent operational backbone.
- **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 — enough to partner credibly with Finance, ask the right questions, and drive system decisions without needing to own every module deeply.
- Experience with GTM systems such as **HubSpot**, **Outreach**, **Clari**, **CPQ** (e.g., Salesforce CPQ), and similar tools.

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