Finance Systems & Automations Manager
Scale AI · San Francisco, CA · Data, Technology & Systems
About this role
Scale AI is hiring a director-level Financial Analyst in the finance function based in San Francisco, CA. The posting calls out experience with LLMs, API Development, Full Stack, AI Agents. Compensation is listed at $165,600–$207,000 per year.
- Role
- Financial Analyst
- Function
- finance
- Level
- director
- Track
- Management
- Employment
- Full-time
- Location
- San Francisco, CA
- Department
- Data, Technology & Systems
More roles at Scale AI
Job description
from Scale AI careersOverview
Scale’s Finance Systems and Automation team is looking for a builder-oriented team member to help design and develop integrations, automations, and AI agents that streamline workflows across Finance, Accounting, People, and Recruiting.
In this role, you will work closely with stakeholders across Finance, Accounting, People Operations, and Recruiting to understand their workflows and build integrations, automations, and agentic workflows that reduce manual effort and accelerate execution across these teams.
You will leverage our internal data infrastructure, system integration tooling, and emerging AI platforms to architect scalable solutions — from traditional system integrations to intelligent agent-driven workflows — that serve as the foundation for long-term operational efficiency.
We’re looking for someone who thrives on connecting systems, automating repetitive processes, and pushing toward more autonomous, AI-assisted operations. You should be comfortable navigating ambiguity, designing solutions that scale, and rigorously validating outcomes end to end.
What You’ll Do
- Design and build agent-driven workflows and automation systems across People Operations, Recruiting, Finance, and Accounting
- Identify opportunities to replace manual or rules-based processes with agentic workflows
- Partner with stakeholders to translate business processes into scalable, automated solutions
- Lead the implementation of end-to-end workflows, from requirements through deployment and validation
- Automate candidate-to-employee transitions (e.g., Greenhouse → HRIS → provisioning systems)