A Better opportunity

Help us hack a thirteen trillion dollar industry by building a product that will allow more people than the status quo to own a home and build wealth rather than rent for life. Our tech team is small, and you will be a big part of defining the technical direction and culture. We encourage proposals for projects off the beaten path, experimentation with different frameworks and libraries, and doing as you see fit to solve problems. We also offer above-market compensation and equity, as well as and full benefits.

Some projects you could be working on

• Work closely with our product team to understand funnel drop off and come up with product ideas
• Work closely with the marketing team to optimize our acquisition funnel
• Present conclusions to the executive team that can impact the strategic direction of the company
• Build a lead scoring model to help our customer support team prioritize.
• Model the time-lag of conversions using Tensorflow and fun math like Gamma distributions
• Design an experiment to understand the causal impact of an outbound phone call on conversion rates
• Build web scrapers to track price data for other mortgage lenders
• Migrate our data warehouse to Redshift
• Work on our underwriting engine, which turns out to be NP-complete and can be posed as a mixed integer programming problem
• Transcribe all our phone calls using speech-to-text and figure out ways to optimize customer support.

Better Technology

• We do continuous deployment and we ship code 50-100 times every day
• The data stack is all in Python 3.6
• We use Node.js, Python and Scala for services
• Postgres for the database
• Kubernetes, for deployment and devops
• AWS for infrastructure, leveraging EC2, S3, SWF, CloudFront, Route53, and much more

The team

• The tech team is currently 19 engineers but growing quickly
• Erik Bernhardsson (CTO) used to run the data team and the music recommendation team at Spotify. He is the open source author of a few popular projects like Annoy and Luigi and writes a blog about (mostly) data