You love building software that directly enables your team to crack critical business challenges. You've shipped production applications and can strike the right balance between shipping fast for immediate impact and long-term vision. You enjoy working remotely along with the independence and responsibility that comes with that.
Real estate is the world's largest asset class, but experience in the domain is not required. What is necessary is motivation to dive in and understand the work people do every day so you can build the right tools that give them leverage. The idea of building & running a $150M/yr business that operates like a startup, growing at 5-7%/yr (not a startup looking for PMF) is exciting to you.
Buying, renovating, and managing a portfolio of thousands of homes worth billions of dollars is a big task. Our team is continuously experimenting to improve efficiency and accelerate operations.
You'll join a pod that consists of seasoned business owners paired with product and have complete ownership over a domain to to crank out needle moving features weekly. There's a lot for a small team to do, so we look for “W-shaped” engineers. You should be comfortable and confident across any stack, but also have deep expertise in one or more areas where you can be the team expert.
To manage single-family rentals at our scale, we write lots of software that runs our operations. For this dev pod, our users are hundreds of employees and vendors located in 40+ markets who renovate homes, repair issues for residents, and prepare our vacant homes for the next move-in.
In this role, you will:
You'll be working across multiple backend projects. You might be a great fit if these attributes describe you:
Hands-on AI expertise You have an AI-first mindset, constantly on the lookout for ways to leverage commercially available LLMs and automation to solve real-world problems at scale. You dream about Agents and Assistants.
Strong expertise in Python; React knowledge is a plus.
Hands-on experience with Apache Kafka for real-time data streaming.
Deep knowledge of AWS and cloud-based services.
Strong product sensibilities to build experiences users love.
Entrepreneurial experience preferred.
Working timezone overlaps at least 5 working hours with US Pacific and you love cranking late into the evening in an “always on” environment.