Manual QA

Ledge’s mission is to reinvent how finance teams work by building AI agents that actually do the work, not just automate it. We began with an industry-leading reconciliation platform used by top finance teams.

We are now broadening our scope to develop a completely AI-native close management solution, built upon our strong existing platform that is already competitive with leading industry offerings. Our agents autonomously prepare, reconcile, validate, and manage the close end-to-end with finance-grade accuracy and transparency.

We’re designing new tools for the Office of the CFO: a scalable, trustworthy data pipeline combined with autonomous AI workflows and a clean, consumer-grade experience.

As an AI-first engineering organization, we use modern microservices, full IaC, and advanced AI coding and development tooling to move fast and build real autonomy into the finance workflow.

About the Role

We are seeking an Entry-Level Manual QA to join our team onsite in a part-time capacity. In this role, you will support the quality and reliability of our finance automation platform and AI solutions by executing thorough manual test plans and collaborating with our engineering and product teams.

Requirements

Must be able to work onsite (no remote)

Part-time position

Very good English—both written and spoken (this is a must)

Excellent attention to detail and organizational skills

Ability to execute manual test cases and report bugs clearly

Eagerness to learn new processes and technical concepts

Advantages

Studied computers or computer science at school or currently a university student in these fields

Studied accounting or currently a student in an accounting program

Prior experience with building or testing web applications or SaaS platforms

Please Note: This is an entry-level position. Only relevant applications will be answered.

Join Ledge to gain hands-on experience in a cutting-edge, supportive team environment and help shape the future of finance technology.