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Posted Jul 18, 2025

Product Engineer - Product Analytics

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Help us to increase the number of successful products in the world!

About PostHog

We’re equipping every developer to build successful products by giving them a suite of products to analyze, test, observe, and deploy new features. We currently offer product and web analytics, session replay, feature flags, experiments, a CDP, SQL access, a data warehouse, and LLM observability… and there’s plenty more to come.

PostHog was created as an open-source project during Y Combinator's W20 cohort. We had the most successful B2B software launch on HackerNews since 2012 with a product that was just 4 weeks old. Since then, more than 100,000 companies have installed the platform. We've had huge success with our paid upgrades, raised bags of money from some of the world's top investors, and have extremely strong product-led growth – 97% driven by word of mouth. 

We're growing quickly, but sustainably. We're also default alive, averaging 10% monthly revenue growth and with more than $20m ARR. We're staying focused on building an awesome product for end users, hiring a handful of exceptional team members, and seeing fantastic growth as a result.

What we value

Solve big problems -we haven't built our defining feature yet. We are all about acting fast, innovating, and iterating.

What you'll be doing

You'll be working full stack at the intersection of people and data. Our mission on the Product Analytics team is to expose powerful tools to help engineers, PMs, and everyone else understand how customers are using their products. 

At the core of our product offering is our event tracking system, which allows customers to instrument both their front-ends and back-ends to track any metrics they can imagine. Our product also integrates with our data warehouse, which allows customers to sync data into PostHog from their own databases and third-party sources, unlocking PostHog as the ultimate BI tool. 

We’ve built a suite of insights that allow customers to visualize their data in incredibly useful ways without writing any SQL. We've also built and maintain our own SQL dialect (known internally and affectionately as HogQL), and are constantly expanding it to make complex queries as easy as possible for our end users.

On the Product Analytics team, you’ll get to be adjacent to our high-scale ingestion pipeline and ClickHouse teams, working together to make whatever user experience you can dream of a reality.

As we grow and continue to ingest more data, we'll face and solve increasing scale challenges, and will continue to leverage AI to make it as easy as possible for our customers to discover insights in their data. Our goal is to position ourselves as an indispensable tool in our customers’ stacks, not only providing insights, but being a piece of the infrastructure that powers their applications

You'll write and master Python, TypeScript, (ClickHouse|Postgres|Hog)SQL, Rust, and a little bit of C++.

RequirementsNice to have

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!

#LI-DNI

BenefitsWhat we offer in return: Apply Now