Heap is building analytics infrastructure for web and iOS. Unlike other tools, which require you to manually instrument code, Heap captures all user actions automatically, and then lets you answer questions retroactively. Instead of writing a bunch of new tracking code every time you want to answer a question, the data is already in Heap waiting to be analyzed.
As an engineer at Heap, you will work on our in-house distributed system that ingests billions of events a week and processes queries over 100s of terabytes of data in seconds. To learn more about our distributed system, see our talks at PGConf[1] or our recent blog post on how we index our data[2].
We have a small eng team made up of 13 engineers, nine in San Francisco, and four scattered around the globe.
Our interview process consists of a one hour technical phone interview, a three hour takehome problem, and a full day onsite in which you'll build a fake-but-plausible Heap feature.
We offer all of our employees unlimited vacation with a three week minimum.
Heap is building analytics infrastructure for web and iOS. Unlike other tools, which require you to manually instrument code, Heap captures all user actions automatically, and then lets you answer questions retroactively. Instead of writing a bunch of new tracking code every time you want to answer a question, the data is already in Heap waiting to be analyzed.
As an engineer at Heap, you will work on our in-house distributed system that ingests billions of events a week and processes queries over 100s of terabytes of data in seconds. To learn more about our distributed system, see our talks at PGConf[1] or our recent blog post on how we index our data[2].
We have a small eng team made up of 13 engineers, nine in San Francisco, and four scattered around the globe.
Our interview process consists of a one hour technical phone interview, a three hour takehome problem, and a full day onsite in which you'll build a fake-but-plausible Heap feature.
We offer all of our employees unlimited vacation with a three week minimum.
We enjoy talking to everyone who interviews, so please apply: https://heapanalytics.com/jobs.
[1] https://www.youtube.com/watch?v=iJLq3GV1Dyk
[2] https://blog.heapanalytics.com/running-10-million-postgresql...