Engineering Manager

Argyle is a fast-growing, remote-first Series B startup solving a systemic data problem.

Underneath the consumer finance industrys decisions and processes is static, analog documentationthings like credit reports and paystubsdesigned decades ago for a world that no longer exists. Meanwhile, credit bureaus buy, move, store, and sell consumers data without their knowledge or consent.

The result? A labyrinth of manual workflows and shortsighted underwriting models that obstruct financial access, compound operational costs, and impede innovation.

The solution is Argyle. Were a real-time income data platform that lets our end-users instantly connect their employment records to apps and websites, so they can access and qualify for the financial resources they need to get ahead. Providers benefit from streamlined workflows and enhanced visibility that reduce costs and risk across the user journey.

Our mission is to give consumers the means to exercise ownership over their income, employment, and identity data in order to create a more equal, efficient, and effective financial system for everybody.

If youre looking to join a fun and ambitious group of people working remotely across dozens of countries, apply today.

About the team:

Argyles Scanner Engineering team works alongside Network Growth, Data Quality and other Scanner (Infra, R&D) teams. Together these teams form the Data Build (think vertical) whose mission is to achieve the maximum user conversion and the highest data quality of structured employment records available anywhere. In laymans terms, the Data Build owns data lifecycle  from initial research to development of data acquisition tools to production support. Scanner Engineering teams remit includes the development of scanners, implementation of new features in existing scanners and continuous improvement and support of overall scanner estate.

On a day-to-day basis, the team operates as a number of squads which helps us to remain focused, organized and offers some level of specialization among the engineers. Finally, we strive to operate in a flat hierarchy approach. This means that we shy away from pass down task allocation but rather embrace grass roots problem solving our goal is to ensure that everyone can contribute to the success of the team and wider company.

What will you do:

Why Argyle: