Spotter Labs is hiring Accounting Automation Engineers to help automate manual processes across accounting, finance, and related business systems. This role focuses on understanding current workflows, identifying opportunities for automation, and building scalable solutions to improve efficiency and accuracy.
Responsibilities:
- Review manual accounting and finance workflows and identify opportunities for automation
- Build repeatable processes across multiple systems, exports, reports, and data sources
- Improve reconciliations, journal-entry preparation, close tracking, reporting, and exception management
- Help connect operational data to accounting and finance processes
- Create templates, scripts, dashboards, workflows, and documentation that reduce manual work
- Work with accounting, finance, operations, and technology teams to understand process gaps and build practical solutions
- Design controls so automation improves accuracy rather than simply speeding up bad processes
- Create exception-based workflows so teams can focus on issues instead of routine data entry
- Document processes clearly so they can be maintained and improved over time
Requirements:
- Experience automating manual processes using tools such as Excel, Google Sheets, SQL, Python, Power Query, VBA, Google Apps Script, Zapier, Make, Power Automate, APIs, or similar platforms
- Strong ability to work with data exports, reports, spreadsheets, and system-generated files
- Understanding of accounting or finance processes, including reconciliations, journal entries, month-end close, AP, payroll, reporting, or financial analysis
- Ability to map a current process, identify failure points, and build a cleaner workflow
- Strong analytical skills and attention to detail
- Ability to work with non-technical users and translate business problems into automated solutions
- Good documentation habits
- Comfort working in a fast-moving environment where systems and processes are still being built
- Experience working with accounting, ERP, banking, payroll, expense management, inventory, reporting, or operational systems
- Experience building dashboards, exception reports, reconciliation tools, or workflow automations
- Experience with multi-system data matching and process improvement
- Experience supporting accounting, finance, operations, logistics, transportation, or other data-heavy business environments
- Accounting, finance, data analytics, systems, or engineering background preferred