You will work on difficult problems in ingesting, storing, transforming, and reporting on billions of rows of data. Examples include finding patterns in what closes a deal using machine learning, scaling the infra every other month to handle the load, creating a dynamic SQL engine that takes input from a couple of dropdowns to replicate all BI functionality that revenue teams want, and maintaining reliability in tens of integrations that ingest full CRM databases and building new ones. We have an intense culture -- we like to win, and win we do.
HockeyStack is creating a single source of truth and reporting for marketing, sales, and all customer data. They came out of YC S23, and raised $4.3M from General Catalyst, Madrona, et al. The product collects data from CRM, marketing automation, ad platforms and data warehouses. The data then gets cleaned and transformed into a unified format. Customers can create any type of report they want using the UI. They have a dynamic query engine that transforms UI inputs into a query.
