Convex

Our engineering team currently consists of the CTO doing backend work, and a remote team doing UX/UI design and frontend work, as well as QA. Our Head of Product also covers data engineering and overseas our data science / ML efforts.

We use Slack for communication, Jira for task management, and AWS services for hosting, deployment, etc. We do a video call with the remote team twice a week. The agenda for the call, depending on the day is 1) sync up on outstanding questions, discuss issues in progress, etc. 2) demo new features 3) preview design mocks for the upcoming sprint.

Our team is small, so our processes are light. Developers commit to the development and staging environments regularly. New features are QA’d in our staging environment and dependending on urgency, deployments are made to production a couple times a week.

We pride ourselves on being a lean, high performing, over achieving team. We move very fast without breaking (important) things.

We are creating comprehensive data set on every non-residential building in the country, around 60M properties. This requires us to build several things simultaneously: a data pipeline, a tool to build training sets for machine learning models, and finally, efficient access to this data for our customers.