Software Engineer

Data Stack Team

• #### Location

Remote

• #### Timezone(s)

GMT+ 2:00 to GMT -8:00

About PostHog

We're shipping every product that companies need to run their business from their first day, to the day they IPO, and beyond. The operating system for folks who build software.

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, so users can query product and customer data together using custom SQL insights.

• A customer data platform, so they can send their data wherever they need with ease.

• PostHog 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 CRM, messaging, revenue analytics, and support products. When we say every product that companies need to run their business, we really mean it!

We are:

1. Product-led. More than 100,000 companies have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit.

2. Default alive. Revenue is growing 10% MoM on average, and we're very efficient. We raise money to push ambition and grow faster, not to keep the lights on.

3. Well-funded. We've raised more than $100m from some of the world's top investors. We're set up for a long, ambitious journey.

We're focused on building an awesome product for end users, hiring exceptional teammates, shipping fast, and being as weird as possible.

Things we care about

• Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook. Internally, we share revenue, notes and slides from board meetings, and fundraising plans, so everyone has the context they need to make good decisions.

• Autonomy: We don’t tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams and make product decisions. Teams are flexible and easy to change when needed.

• Shipping fast: Why not now? We want to build a lot of products; we can't do that shipping at a normal pace. We've built the company around small teams – autonomous, highly-efficient groups of cracked engineers who can outship much larger companies because they own their products end-to-end.

• Time for building: Nothing gets shipped in a meeting. We're a natively remote company. We default to async communication – PRs > Issues > Slack. Tuesdays and Thursdays are meeting-free days, and we prioritize heads down building time over perfect coordination. This will be the most productive job you've ever had.

• Ambition: We want to solve big problems. We strongly believe that aiming for the best possible upside, and sometimes missing, is better than never trying. We're optimistic about what's possible and our ability to get there.

• Being weird: Weird means redesigning an already world-class website for the 5th time. It means shipping literally every product that relates to customer data. It means building an objectively unnecessary developer toy with dubious shareholder value. Doing weird stuff is a competitive advantage. And it's fun.

Who we’re looking for

We're seeking a backend engineer who thrives on building robust, high-performance data pipelines. You’re passionate about turning complex ELT workflows into reliable products and working deeply with modern data formats like Arrow, Iceberg, and Delta. You enjoy pushing the boundaries of what data tools can do while ensuring they remain stable and production-ready.

Ideally, you're as much a data engineer as you are a software engineer. You would be a great fit if you've used the tools of the modern data stack (maybe you've even built some) and you've also built complex software from the ground up.

What makes this role unique

At PostHog, data warehousing is both a core product for our users and a foundational platform for our internal teams. You'll help build the tools that enable users to import, transform, and analyze their data via SQL, while also creating the infrastructure that powers current and future PostHog features.

Our data stack is end-to-end:

• We’ve developed our own SQL parser from scratch

• Built pipelines to import data from APIs and databases

• Created a SQL editor for data exploration

• Developed a materialization pipeline to transform and serve data efficiently

There’s a huge breadth of challenges and opportunities to tackle, and nothing is off-limits. Data tooling is a first-class product at PostHog, not an afterthought. You’ll have the chance to build the data tools you’ve always wanted to use.

What you'll be doing

Our team stretches from California to Hungary, but we are remote-first and take it seriously. Every team at PostHog makes an effort to develop the best way to work for its team members. You will be working with a small team that is currently 2 engineers and 1 product manager.

Your core responsibility will be to maintain and grow our data pipeline that enables our users to import their data from API and database sources. The work will span anything from expanding the source library for our users to refactoring how we stream data from ClickHouse to object storage using Arrow. You should be very comfortable building well-architected and well-tested code. However, you are also pragmatic and know how to scope implementations in a way that allows you to ship fast.

Examples of day-to-day work:

• Designing and implementing a core interface that makes it easy to expand our source library

• Debugging memory issues in our data pipeline service

• Implementing granular schema control for users to configure when setting up an import

• Building a graph traverser to materialize user-submitted queries

• Instrumenting usage tracking to allow users to understand their import volume and costs

Requirements

• Experience with Python and Django. Our core application backend and data pipeline services are built with Python and Django

• Hands-on experience with the Arrow data format. We stream data from ClickHouse to object storage with Arrow as the intermediary format

• Strong skills in designing, architecting, and building data systems from the ground up

• While frontend may not be your primary focus, you’re not afraid to dive in when needed

Nice to have

• Experience using Temporal- Experience with Clickhouse

• Experience with open source table formats (Iceberg or Delta tables)

• Experience with ASTs

• You've carried a pager and have dealt with incidents

• You're comfortable with provisioning and deploying infrastructure

We believe people from diverse backgrounds, with different identities and experiences, make our product and our company better. That’s why we dedicated a page in our handbook to diversity and inclusion No matter your background, we'd love to hear from you! Alignment with our values is just as important as experience! 🙏_

Also, if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate!

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.

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

Benefits

• 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

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: Data as a platform

• Key Results:
• Opinionated pattern for how data warehouse data is joined in other products
• Managed materialization and views

Objective: Extensible sources

• Key Results:
• 10+ more sources shipped
• Self-serve source creation
• Refactored to be backend config based

Objective: UX across data warehouse

• Key Results:
• Data warehouse scene to manage all DW related resources
• Extended person properties UX
• Max + editor UX
• AI autocomplete

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

##### PostHog 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!

Name*

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Cover letter

Seriously, just write a couple of sentences about why you love us and you'll be doing better than 90% of applications.

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