Blend makes the process of getting a loan simpler, faster, and safer. With its industry-leading digital lending platform, Blend helps financial institutions like Wells Fargo and U.S. Bank increase productivity and deliver exceptional customer experiences. The company processes nearly $2 billion in loans daily, helping millions of consumers get into homes and gain access to the capital they need to lead better lives.
Our mission in the fulfillment team at Blend is to significantly reduce the lender’s cost to fund a loan and we do this in a variety of ways. We work to structure and aggregate disparate data sources to automate highly manual and repetitive tasks. We use Optical Character Recognition (OCR) to digitize data locked within physically uploaded documents. We leverage strategic partnerships with secondary market investors (Fannie Mae and Freddie Mac) and utilize their warranty investor programs to reduce the need for certain follow-ups to be delivered. This team also aims to make banking data more open by implementing standards like FS-ISAC, hence pushing the entire banking industry forward. Our team is just getting started in building out these products and is looking for a top-tier engineer to help take them to the next level.
What’s in it for you;
You will have a say in every step of the product development process with a team that cares about your points of view! Working with and contributing to our open source projects like https://github.com/blend/go-sdk .
The opportunity to mentor curious minds that are eager to learn from the best and you'll lead projects that have a big influence on the entire company - it is why you join us here and now!
Blend is an equal opportunity employer that values diversity, inclusion and belonging. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We will consider for employment all qualified applicants with arrest and conviction records in a manner consistent with applicable law, including the San Francisco Fair Chance Ordinance.