As an Office Automation Engineer, you will take part in the company's new initiatives to build, maintain, and improve automation solutions that reduce manual office work. This person will work closely with the stakeholders and business users to develop workflows, integrations, scripts, AI-enabled tools, and productivity solutions.
What you'll do
Build automations for internal business processes using low-code platforms, scripts, APIs, AI tools, and productivity software.
Develop workflows for approvals, notifications, data collection, reporting, document generation, task tracking, and knowledge management.
Integrate tools such as Google Workspace, email, databases, forms, dashboards, and internal systems.
Use AI technologies to automate document summarization, data extraction, classification, content generation, search, and workflow assistance.
Create and maintain scripts, connectors, templates, prompts, and reusable automation components.
Support testing, troubleshooting, monitoring, and enhancement of deployed automations.
Document solution design, user instructions, technical configuration, limitations, and maintenance requirements.
Work with IT and InfoSec to follow standards for authentication, access control, data handling, logging, and approval.
Help business users understand how to use automation tools effectively.
Continuously identify improvement opportunities in existing workflows.
What you'll need
2+ years of experience in automation development, scripting, productivity tooling, systems integration, IT support engineering, business applications, or related roles.
Hands-on experience with at least one scripting or automation technology, such as Python, JavaScript, Google Apps Script, Zapier, Make or similar.
Familiarity with APIs, webhooks, data formats, forms, spreadsheets, databases, and workflow logic.
Preferred Experience:
Experience with productivity platforms such as Google Workspace, Lark or similar tools
Ability to troubleshoot technical issues and communicate clearly with business users.
Strong documentation discipline.
Experience using generative AI tools or APIs to build workplace productivity solutions.
Experience with prompt design, document processing, chatbot workflows, or knowledge base automation.
Basic SQL or data analysis experience.
Experience with dashboards or reporting tools.
Familiarity with security basics, including permissions, secrets management, data privacy, and audit logs.
Experience supporting regional or cross-functional business users.