Flex enables renters to pay their rent out over the course of the month on their preferred schedule, instead of on the 1st. Flex eliminates late rent fees, helps avoid overdrafts, improves monthly budgeting and results in more available cash throughout the month.
We're solving a problem that affects over 70mm Americans (60% of all renters), and are doubling our user base every month.
We've just closed a big early-stage round of funding from top VCs.
Our engineers use a very modern tech stack to solve really interesting technical challenges.
Our current engineering team is comprised of 3 experienced engineers who works very well without excessive supervision. Our engineers work closely with our PM to spec out features. Then they usually develop individually before looping back with the PM for testing. We adopt a 2 week sprint cycle and use PR on Github for code review.
We're working on a machine learning based system that uses transaction and bill payment history data to predict somebody's cash flow to the detail of a specific day in a month.
You would get to work on our payment system that handles millions of dollar of transaction volume on a daily basis.
You would be working on setting up our event-based data analytics pipeline that allow the team to draw real-time business insights with great flexibility.
You will be working on building and improving our native mobile app to satisfy the long list of feature requests that our users have.
We move incredibly quickly and try to be very lean in spending our time on building things. Each team member has a strong sense of ownership in their work, and is great at working independently. We're also very transparent in our decision-making and prioritization process, and are constantly open to changing our opinions when we hear good arguments.
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