← All jobs · Scale AI

Head of Finance Systems & Automation

Scale AI ·
49
AI-Agency
B35 U72
📍 San Francisco, US 💰 $198K–$248K 🛠 AI tools welcome Director 8+ yrs
NetSuitePythonSQLWorkatoMulesoftBoomi
TL;DR

Head of Finance Systems & Automation at Scale AI, responsible for ERP strategy, AI agent deployment in finance workflows, and systems integration. Leads finance technology stack including NetSuite, order-to-cash, and procure-to-pay processes.

Apply at Scale AI →
you'll be redirected to the company's career page

Job description

About the Role

The Head of Financial Systems will own the strategy, implementation, and continuous improvement of Scale AI's finance technology stack. You are a builder-first leader who blends enterprise architecture with AI automation - eliminating manual workflows, tightening the financial data fabric, and enabling the Finance team to move with the speed and rigor the business demands. You will be the primary technology partner to the Finance leadership team, and the person ultimately accountable for the reliability, scalability, and intelligence of every system that touches the financial close, revenue, and spend lifecycle.

Key Responsibilities

ERP Ownership & Optimization Own the full lifecycle of our ERP environment (NetSuite or equivalent), including architecture, configuration, integrations, and roadmap. Ensure the platform reliably supports the General Ledger, AP, AR, Procure-to-Pay, Fixed Assets, Revenue Recognition, Sales Audit, and International Consolidations & Reporting.

Order-to-Cash & Procure-to-Pay Drive end-to-end process excellence across Order-to-Cash (Sales/Revenue Capture, Sales Audit, Billing) and Procure-to-Pay (Direct & Indirect Purchasing). Identify gaps between upstream systems and ERP, and close them through disciplined integration design.

AI Agent Deployment Identify opportunities to replace manual finance workflows with AI/LLM-powered agents. Build and manage internal agents that automate forecasting inputs, variance analysis, close task management, and reconciliation — reducing cycle time and surfacing actionable insights for Finance leadership.

Systems Integration & Data Architecture Design scalable data flows and APIs that connect the ERP to adjacent finance tools (billing, expense, FP&A, treasury) into a cohesive, auditable ecosystem. Ensure clean, governed data movement from source systems to the general ledger and reporting layer.

Operational Excellence & Controls Establish disciplined change management, clear data governance, and measurable SLAs across all financial systems. Stabilize environments to support audit readiness, SOX compliance, and regulatory requirements.Finance Stakeholder Partnership Serve as the primary technology partner to the CFO, Controller, FP&A, and Accounting teams. Translate complex technical constraints into business outcomes and align system roadmaps with Finance's strategic priorities.

Team Leadership Build and lead a high-impact Finance Systems team. Foster a culture of curiosity, speed, and user-centricity — where the team is as proud of a clean reconciliation workflow as any external product shipped.

What You'll Bring

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, determined by work location and additional factors, including job-related skills, experience, 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:
$198,400$248,000 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 Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Apply at Scale AI →

More open roles at Scale AI

Scale AI ·
Deep Research Agent Tech Lead
📍 San Francisco, US · Staff
Staff/Senior Staff ML Engineer and Tech Lead at Scale AI building deep research agents for enterprise. Focus on LLM-powered agentic systems, multimodal intelligence, and advanced retrieval at scale.
LLMsAgentic FrameworksMultimodal AIVector DatabasesText-to-SQLOCR
85
AI-core
Scale AI ·
Machine Learning Research Scientist / Engineer, Reasoning
📍 US 💰 $252K–$315K 🤝 AI-OK interview · Senior
Machine Learning Research Scientist at Scale AI focused on reasoning in large language models and agentic systems. Role involves studying data types for LLM-based agents, collaborating with researchers, and translating advancements into scalable solutions.
PyTorchJAXTensorFlowAWSGCP
85
AI-core
Scale AI ·
Staff Machine Learning Research Scientist/ Engineer, Agents
📍 San Francisco, US 💰 $259K–$324K 🤝 AI-OK interview · Staff
Staff ML Research Scientist/Engineer at Scale AI focusing on agent capabilities and environments. Research on LLM agents, RL reward signals, and benchmarking autonomous agent performance across real-world scenarios.
PyTorchJAXTensorFlowLangGraphOpenHandsSwarm
85
AI-core
Scale AI ·
Staff Applied AI Engineer, Enterprise GenAI
📍 San Francisco, US 💰 $216K–$270K 🛠 AI tools welcome · Staff
Staff Applied AI Engineer at Scale AI building enterprise GenAI agents and ML solutions. Work directly with clients to develop production AI systems using Scale's platform, from cybersecurity to genomics applications.
PythonAWSGCPPyTorchTensorFlowLLMs
83
AI-core
Scale AI ·
Applied AI Engineer, Enterprise GenAI
📍 San Francisco, US 💰 $216K–$270K 🛠 AI tools welcome · Mid
Applied AI Engineer at Scale AI building enterprise GenAI agents and ML solutions. Work directly with clients to develop production AI systems using Scale's platform, from cybersecurity to genomics applications.
PythonAWSGCPLLMsPyTorch
83
AI-core