Join Sunrise AI as our Technical Co-Founder and be part of a game-changing team that's revolutionizing the rental housing market. We empower residential property owners with a cutting-edge proptech platform that delivers fair, accurate tenant credit assessments, ongoing credit monitoring, and streamlined payments. With over $58Bn lost annually due to rent delinquencies and eviction costs, our platform is a first-of-its-kind AI algorithm for assessing retail credit risk, that supports the owner-tenant commercial relationship. This is a remote role that will include a base salary, benefits, and equity.
We're on a mission to improve access to capital for all -- our market-leading solution for evaluating individual credit goes beyond housing and has applications to insurance, mortgage, consumer lending, auto finance, and credit cards. Our vision is supported and funded by AI Fund, founded by Dr. Andrew Ng, a venture studio backed by NEA, Softbank, Sequoia and Greylock, that bridges AI technology and critical applications.
As our Technical Co-Founder, you'll play a crucial role in developing Sunrise AI's technology strategy and data/software architecture, leading the building of our early prototype and MVP solution. You'll also be responsible for ensuring alignment between our technology development plan and our business and customer goals.
We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. We believe that diversity and inclusion among our employees are critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.