We are looking for a G&A Automation Engineer to build and maintain automation systems across Finance, Legal, Compliance, Revenue Operations, and People Operations. This role is responsible for identifying manual processes and replacing them with scalable, AI-powered workflows and internal tools.
Role Overview
You will work directly with General & Administrative teams to automate back-office operations. Your focus is to reduce manual work, improve data accuracy, and build systems that scale with the business.
Responsibilities
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Identify automation opportunities
Analyze workflows across Finance, Legal, RevOps, and People Ops to find inefficiencies and manual processes. -
Build automation systems
Design and implement workflows using low-code tools (e.g., Zapier, n8n, Retool) and custom code (Python, SQL, JavaScript). -
Develop internal tools
Build lightweight applications for reporting, approvals, onboarding, compliance, and contract workflows. -
Manage data integrations
Ensure reliable data flow between systems such as Snowflake, Google Workspace, HRIS, and CRM tools. -
Deploy AI solutions
Use AI coding tools (e.g., Claude, Cursor) to accelerate development and integrate AI into workflows. -
Maintain and improve systems
Monitor automations, fix issues, and continuously optimize performance and usability.
Requirements
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Minimum 3 years of experience in automation, operations, analytics, or technical roles
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Experience building workflows or automations using APIs, webhooks, or integration tools
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Proficiency with at least one: Python, SQL, or JavaScript
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Ability to read API documentation and debug issues independently
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Strong understanding of how business operations function
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Clear communication with both technical and non-technical stakeholders
Preferred
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Experience working with Finance, Legal, RevOps, or HR systems
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Experience with tools like Snowflake, Retool, Zapier, or similar platforms
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Familiarity with AI-assisted development tools
What You’ll Own
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End-to-end automation of G&A workflows
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Internal tools used by Finance, Legal, and Operations teams
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Data integrity across business systems
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Continuous improvement of operational efficiency