Product Engineer - Data Stack - Data Modeling - PostHog

8 Minutes ago • All levels • $184,680 PA - $202,176 PA
Data Analysis

Job Description

As a Product Engineer on the Data Stack team, you will build end-user tools for understanding and traversing data models. This involves materializing user-defined queries, scheduling and resolving DAGs of query materialization, and debugging stateful data workflows by analyzing k8s pod metrics and using Temporal.io. The role offers a broad range of challenges, pushing the boundaries of the Data Stack while ensuring stability and production readiness, making data a first-class product.
Good To Have:
  • Async-python skills
  • Temporal.io skills
  • Experience with Dbt
Must Have:
  • Strong skills in building resilient systems
  • Experience in Kubernetes, Docker, and S3 at scale
  • Proficiency in Python
  • Good practices around logging, testing, and monitoring (observability)
  • Comfortable debugging stateful, async data workflows by digging into k8s pod metrics
  • Proficient in building UIs for data intensive tools using React
  • Experience with DAG’s and Batch processing
  • Strong backend skills
  • Proactive and autonomous work ethic
Perks:
  • Generous, transparent compensation & equity
  • Unlimited vacation (with a minimum!)
  • Two meeting-free days per week
  • Home office
  • Coworking credit
  • Private health, dental, and vision insurance
  • Training budget
  • Access to our Hedge House
  • Carbon offsetting
  • Pension & 401k contributions
  • We hire and pay locally
  • Company offsites

Add these skills to join the top 1% applicants for this job

problem-solving
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github
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react
html
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kubernetes
git
python
sql

Data Stack Team

  • #### Location

Remote

  • #### Timezone(s)

GMT +2 to GMT -8

###

About

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

, a customer data platform

, 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.

###

What you will be doing

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?

###

You’ll fit right in if:

  • You’re a builder. You bring strong skills in building resilient systems, with experience in Kubernetes, Docker, and S3 at scale. We build in python. Async-python and Temporal.io

skills are welcome.

  • You have good practices around building resilient systems. Logging, testing and monitoring (observability), but you are also comfortable with debugging stateful, async data workflows by digging into k8s pod metrics.
  • You are proficient in building UIs for data intensive tools. React is part of your toolset.
  • You bring experience with DAG’s and Batch processing. Having used Dbt is a plus.
  • You bring a mix of skills. It’s not just about the query engine. You’ll need strong backend skills as we run a complex system.
  • You love getting things done. Engineers have an incredible amount of autonomy to decide what to work on, so you’ll need to be proactive and just git it done.
  • You’re ready to do the best work of your career. We have incredible distribution, a big financial cushion and an amazing team. There’s probably no better place to see how far you can go.

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

###

What’s in it for you?

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

------------------------

Data Stack

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

  • ![](https://posthog.com/community/profiles/30174)
  • ![](https://posthog.com/community/profiles/36723)
  • ![](https://posthog.com/community/profiles/31090)
  • ![](https://posthog.com/community/profiles/29577)
  • ![](https://posthog.com/community/profiles/30209)

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.

Learn more about compensation

Location

(based on market rates)

Country

Region

Level

Step

Salary calculator

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

  • Key Results:
  • Validate query engine alternatives to querying columnar data format
  • Build and test an MVP of new format on internal team data

Objective: Maturing the data pipeline

  • Key Results:
  • 10+ more sources shipped
  • Self-serve source creation
  • Update billing to be user friendly (grace period on initial sync)
  • Increased reliability and stability

Objective: Warehouse integration across

  • Key Results:
  • Enable warehouse data to be usable within CDP

###

Interview process

-----------------

We do 2-3 short interviews, then pay you to do some real-life (or close to real-life) work.

  • 1

##### 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.

  • 2

##### 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.

  • 3

##### 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.

  • 4

##### Founder interview

30 minutes

You have reached the final boss. It's time to chat with James or Tim.

  • 5

##### 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!

  • 6

##### Offer

Pop the champagne (after you sign)

If everyone is happy, we’ll make you an offer to join us - YAY!

###

Apply

-----

(Now for the fun part...)

Just fill out this painless form and we'll get back to you within a few days. Thanks in advance!

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