Product development used to mean manually writing code, running analysis, diagnosing bugs, and rolling out changes using dozens of tools.

PostHog is the only platform that acts like a co-pilot for you (and your AI agents) to do it all – autonomously.

We started with open-source product analytics, launched out of Y Combinator's W20 cohort https://posthog.com/handbook/story. We've since shipped more than a dozen products https://posthog.com/products, including:

1. Product-led. More than 450,000 organizations have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit.

2. Default alive https://paulgraham.com/aord.html. Revenue is growing incredibly quickly, 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 $180m 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 https://posthog.com/deskhog.

THINGS WE CARE ABOUT

WHO WE'RE LOOKING FOR

We're seeking a backend engineer engineer for our APM team who thrives on challenges of building systems that process Petabytes of data. Someone who gets excited about designing elegant and efficient systems that can handle this amount of data without giving people insomnia. A strong engineer that understands the importance of data integrity and reliability for customers

The ideal candidate has experience with high-throughput data processing systems such as:

We use a mixture of Node.JS and Rust for high-throughput processing. We store most of our data in Kafka, PostgreSQL, Clickhouse, S3, and Redis, but with the growing volume of data, we're constantly re-evaluating our technological choices. We're looking for someone who understands the principles of designing distributed systems and can use them to pick the best tools for the job.

WHAT YOU'LL BE DOING

You'll help build PostHog's observability suite: Logs (live and growing fast), Traces (in alpha), and Metrics (landing soon); the products that let our customers, and their AI agents, understand, debug, and self-heal their own software.

This is the foundation for self-driving, self-healing products, and we're building most of it from scratch.

The core challenge is easy to say and hard to do: ingest, store, and retrieve enormous volumes of telemetry; fast, reliably, and cost-effectively. Getting data in is the easy half; getting it back out efficiently at petabyte scale, without melting the infra bill, is the real game. We're already handling terabytes of data and it's growing!

You won't be maintaining a corner of someone else's system. You'll own a product area end-to-end, taking it from alpha -> beta -> GA, making the architecture calls, and shipping in the hot path where your code decides whether customers have a good day. You'll work across all three products and go deep on one.

NICE TO HAVE

We are committed to ensuring a fair and accessible interview process. If you need any accommodations or adjustments, please let us know

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