bgrgndzz
Joined 8 years ago
Joined 8 years ago
HockeyStack is creating a single source of truth and reporting for marketing, sales, and all customer data.
We came out of YC S23, and raised $4.3M from General Catalyst, Madrona, et al.
We grew from 0 to multi millions in annual revenue within a little over a year, profitably.
You will work on difficult problems in ingesting, storing, transforming, and reporting on billions of rows of data.
Examples: - 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 - Maintaining reliability in tens of integrations that ingest full CRM databases and building new ones
We have been doing this with a small but mighty team consisting of early startup engineers and founding CTOs (including one who founded a $900m company).
We have an intense culture -- we like to win, and win we do.
If you are exceptional at what you do, and you want to pour your heart out to build the largest enterprise software company in the world, please reach out at
bugra at hockeystack.com
We're building the most comprehensive, but still easy-to-use analytics tool out there. Specifically useful for SaaS businesses that want to collect and unify marketing, product engagement, sales, and subscription revenue data.
- Notion
- HockeyStack
- Drip
- GPT-3
- Apollo.io
I would suggest learning how to do marketing, writing down an excruciatingly detailed process (on Notion), and then automating a part of it while delegating the rest to freelancers.
Though, to delegate as much as possible, you will need a good amount of capital.
Believe me when I say people are flocking away.
HockeyStack is creating a single source of truth and reporting for marketing, sales, and all customer data.
We came out of YC S23, and raised $4.3M from General Catalyst, Madrona, et al.
We went from 0 to millions in ARR in a really short time and are in a DEEPLY URGENT need of really good engineers to help scale infra and backend.
The product collects data from CRM, marketing automation, ad platforms and data warehouses. The data then gets cleaned and transformed into a unified format. Out of the unified data format, customers can create any type of report the want using the UI. We have a dynamic query engine that transforms UI inputs into a query.
Because of the flexibility and how much data we process, keeping integrations up, transforming data accurately, reporting accurately and performantly is a huge technical challenge.
Please email me at bugra @ hockeystack.com if you want to take a crack at some of these problems.
Worth noting that we are fully in-person in a beautiful office near Oracle Park in SF!