Finance Systems & Automations Manager
Scale AI
| Company | Scale AI |
| Category | Finance |
| Location | San Francisco |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 12 May 2026 |
| Last verified | 3 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
Overview
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)
Build workflows to manage employee lifecycle events such as onboarding, transfers, and offboarding
Automate approval flows and data synchronization across People, Finance, and Recruiting systems
Support accounting and finance workflows through scalable integrations and automation
Design and implement the underlying integrations and data flows that enable reliable automation and agent behavior
Establish and apply best practices for workflow design, monitoring, error handling, and maintainability
Collaborate with data and engineering teams to ensure automation systems are built on reliable data foundations
Maintain clear documentation of integrations, automations, and agent behavior
Support adoption of automation and AI-enabled workflows by working closely with People Ops, Recruiting, and Finance stakeholders
What We’re Looking For
5+ years of experience building integrations and automation workflows across business systems
Hands-on experience with an iPaaS platform (e.g., Workato, Mulesoft, Boomi, etc.) - Workato Certification is big plus
Experience building or experimenting with AI-powered workflows, LLM APIs, or agent-driven systems
Experience designing workflows across employee lifecycle processes (hire, onboard, manage, offboard)
Experience integrating Finance systems such as NetSuite, Coupa, or similar
Experience working with PayRoll systems such as ADP, Deel, Workday is a plus
Experience working with People and Recruiting systems such as Workday, BambooHR, Greenhouse, or similar is a plus
Strong problem-solving skills and ability to operate independently in a fast-paced environment
Excellent communication skills and experience working cross-functionally with business stakeholders
A builder mindset with a focus on delivering reliable, scalable solutions
Understanding of how to design reliable, production-ready agentic workflows (e.g., validation, retries, guardrails) is a plus
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 s
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