Data Stack Team
Remote
GMT +2 to GMT -8
###
We equip every developer to build successful products
.
We started with open-source product analytics, launched out of Y Combinator's W20 cohort
.
We've since shipped more than a dozen products
, including a built-in data warehouse
, and Max AI
, an AI-powered analyst that answers product questions, helps users find useful session recordings, and writes custom SQL queries.
Next on the roadmap are messaging, customer analytics, ai task creation and coding based on customer data, logs and support analytics.
Our values
are not a poster on the wall full of aspiration. They’ve come from how we really work, day in day out.
PostHog is open source
product led, and a default alive
company that is well funded.
###
As a Product Engineer - Data Modeling s on the Data Stack team, you’ll build end user tools for understanding and traversing their data models.
You’ll work on materializing user defined queries, and schedule & resolve DAGs of query materialization.
You’ll debug stateful data workflows by digging into k8s pod metrics, and schedule jobs using Temporal.io
. As you can see, there’s a huge breadth of challenges and opportunities to tackle, and nothing is off-limits.
The Data Stack is both a core product for our users and a foundational platform for our internal teams. Data is a first-class product, not an afterthought.
You will have the chance to push the boundaries of what our Data Stack team can do while ensuring we remain stable and production-ready.
You now know what you’ll be doing, but what about what you’ll need to bring along?
###
skills are welcome.
If this sounds like you, we should talk.
We are committed to ensuring a fair and accessible interview process. If you need any accommodations or adjustments, please let us know
###
Now that we've told you what you'll be building with us, let's talk about what we'll be building for you.
Meet the Data Stack Team
------------------------
We enable all other small teams and users to store and access their data in a way that enables them to get more value out of it easier.
Team members
Does pineapple belong on pizza?
60% say YES!
###
Salary
------
We have a set system for compensation as part of being transparent. Salary varies based on location and level of experience.
(based on market rates)
Country
Region
1. Benchmark (United States - Alaska) $194,400
2. Level modifier 1
3. Step modifier 0.95 - 1.04
Salary $184,680 - $202,176+ significant equity
We are open to paying well beyond these ranges for exceptional talent. If this is you, please apply.
###
Benefits
--------
Get more details about all our benefits on the Careers page
.
###
Your team's mission and objectives
----------------------------------
Enable all other small teams and users to store and access their data in a way that enables them to get more value out of it easier.
Objective: Managed data warehouse MVP
Objective: Maturing the data pipeline
Objective: Warehouse integration across
###
Interview process
-----------------
We do 2-3 short interviews, then pay you to do some real-life (or close to real-life) work.
##### Application (You are here)
Our talent team will review your application
We're looking to see how your skills and experience align with our needs.
##### Culture interview
30-min video call
Our goal is to explore your motivations to join our team, learn why you’d be a great fit, and answer questions about us.
##### Technical interview
45 minutes, varies by role
You'll meet the hiring team who will evaluate skills needed to be successful in your role. No live coding.
##### Founder interview
30 minutes
You have reached the final boss. It's time to chat with James or Tim.
##### SuperDay
Paid day of work
You’ll meet a few more members of the team and work on an independent project. It's challenging, but most people say it's fun, and we'll pay you $1,000 for your efforts!
##### Offer
Pop the champagne (after you sign)
If everyone is happy, we’ll make you an offer to join us - YAY!
###
Apply
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Just fill out this painless form and we'll get back to you within a few days. Thanks in advance!
Name*
Email*
GitHub*
We'll need this for the SuperDay
Cover letter
Seriously, just write a couple of sentences about why you love us and you'll be doing better than 90% of applications.
Resume/CV*
Upload fileor drag and drop here
Portfolio/Personal website
How did you hear about us?
Where are you located? *
Do you require sponsorship to work in your desired location?*
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