Scale AI

Director of Technology & Systems

Scale AI$235K — $294K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of experience in leading business systems or enterprise applications in fast-paced, high-growth settings.
  • Deep familiarity with enterprise systems in GTM, Finance, and People functions.
  • Track record of designing AI/LLM-powered workflows to enhance efficiency.
  • Ability to design scalable data flows and integrate SaaS tools seamlessly.
  • Experience influencing C-level executives and translating technical needs into business outcomes.
  • Strong knowledge of ERP systems and core financial operations for effective collaboration with finance teams.
  • Familiarity with GTM systems such as HubSpot, Salesforce CPQ, and similar tools.

Responsibilities

  • Own the lifecycle of the application ecosystem and specialized AI tools.
  • Identify and deploy AI agents to automate workflows and enhance efficiency.
  • Act as the technology partner for leadership, aligning system roadmaps with business goals.
  • Establish and manage operational excellence through change management and data governance.
  • Lead a high-impact team promoting curiosity and user-centricity in technology initiatives.

Benefits

  • Comprehensive health, dental, and vision coverage.
  • Retirement benefits.
  • Learning and development stipend.
  • Generous PTO.
  • Potential commuter stipend.
Full Job Description
About the Role

TheDirector of Technology and Systemswill 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.

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.


Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of San Francisco is:

$235,200-$294,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Scale AI

Scale AI is an artificial intelligence company that provides data annotation services to improve machine learning algorithms. The company's platform offers a range of services including image annotation, text annotation, and 3D annotation. Scale AI was founded in 2016 and is headquartered in San Francisco, California.
Learn more about Scale AI
Size
500 employees
Industry
Founded
2017

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