Convex

Enterprise software & services to improve the way commercial contractors work.

11 - 25 Employees

< 10 Engineers

Private Funding

Series A

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At Convex (YC W19), we’re building the leading B2B full-stack software platform for the $400bn+ commercial services market. It's a 100-year-old industry impacting millions of people every day. We already work with some of the largest enterprise companies in the sector and were one of the fastest growing companies in the Winter 2019 YC batch. Our team is a unique mix of industry veterans from Carrier, Siemens, and Honeywell as well as founders from MIT, Harvard, and Georgia Tech. Based in San Francisco, our investors include Emergence Capital, 1984 Ventures, UP2398, Liquid2 (Joe Montana), YCombinator, the founders of PlanGrid, and others.

Why join us?

Best in class (>20%) month-over-month SaaS growth
Funded by top tier investors e.g., YC and Emergence Capital
Signed 8 of the largest companies in the sector

Engineering at Convex

Engineering team and processes

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.

Technical Challenges

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.

Projects you might work on

Our flagship product, Atlas, allows users to view information on every non-residential building in their area. Importantly, Atlas facilitates their workflow. We are constantly improving on and expanding the feature set of Atlas to better serve and expand our customer base.
Part of the “secret sauce” is our internal tool, Cartographer. Cartographer allows an off-shore team to “label” buildings which serves as a training set for our machine learning models.
Our next product, only known as “Proposal Generation” right now, will be a complex application that allows our users to more efficiently and consistently generate custom proposals for their customers.

Tech stack

AWS

PostgreSQL

PostGIS

Python

Ruby on Rails

Angular.js