Accounting Automation Engineer

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.

This role is best for someone who likes solving practical business problems.

You should be able to look at a manual process and ask:

Why is this being done manually?

What data is needed?

Where does the data come from?

What can be automated safely?

What should remain subject to review?

How do we prove the output is accurate?

How do we make the process repeatable?

We do not need someone who only writes code in isolation. We need someone who can understand the business process, work with the people doing the work, and build useful automation that holds up in the real world.

Candidates may be asked to complete a practical work sample involving process mapping, data cleanup, reconciliation logic, automation design, reporting, or workflow improvement.

We are looking for candidates who can understand a problem, organize the data, build a practical solution, document their work, and explain how the process could be improved or automated.

As Spotter Labs grows, the company needs scalable processes instead of more manual work. This role will help build the systems, workflows, and automation needed to support faster reporting, better controls, cleaner data, and more efficient operations.