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 Revenue is growing incredibly quickly, and we're very efficient
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
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. 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
PostHog is working on a self-driving product and is training its own Deep ML models. To do this, we have a new AI Research team
We track more products across more dimensions than any other company on Earth. Because of this, we have petabytes of data across events, errors, session replays, revenue data, and more. It’s an exceptionally large amount of data relative to our company size, and we want to use it for our users' benefit. Just imagine how, with the vast amount of data we capture, we can automatically surface insights and suggest fixes
As an AI Research Engineer, you will play a substantial part in making this happen. This team is brand new, so you will have real autonomy, be close to customers, and greatly influence what we actually ship
On the finance side, we have around $150M on our balance sheet, we’re "default alive," and we have a real business that has been scaling rapidly and running exceptionally efficiently with good margins for six years. We invest in what we believe moves the needle
Session replay analysis: We already detect issues in replays, but doing so is expensive and doesn’t scale. With better models (and a huge amount of DOM mutation data), we think we can make this faster, cheaper, and best-in-class
User behavior prediction: Identifying drop-offs, suggesting improvements, and potentially improving conversion rates automatically without heavy manual analysis or agent overhead
Synthetic user testing: Simulating users to catch confusing flows or breakages before release. If this works, it could remove one of the biggest bottlenecks in modern engineering: testing (rather than writing code)
Pure theoretical expertise: this is not a Jupyter notebook job
Someone who just wants to do research and publish. Yes, you can publish, but shipping takes priority