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.

• 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 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.

• 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.

The ClickHouse Operations team is responsible for the ClickHouse cluster that all other teams (and all customers) use to store and query data.

You'll help automate and maintain the infrastructure that brings up ClickHouse instances and scales out our cluster on demand.

You will also work on node and instance-level performance optimization to make sure we have the right hardware deployed for each workload we have on CH. 🚀

• Automating the provisioning of metal resources (on AWS) for our cluster.

• Automating dynamic provisioning of instances, utilizing Terraform, Ansible, and K8s.

• Enhancing visibility into cluster status.

• Performance investigations and experiments using the latest hardware that the hyperscalers have to offer.

• Proficiency in Python, Kubernetes, and AWS.

• Experience building and operating high-scale complex data storage solutions.

• Strong interest and experience in ClickHouse (or similar OLAP databases) internals and query performance optimization.

• Can thrive in a culture of autonomy and self-direction.

• Experience with Terraform and Ansible for infrastructure automation.