Product Engineer at PostHog

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

PostHog makes products self-driving. It's 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. We've since shipped more than a dozen products, including:

• PostHog Desktop, the only AI devtool that understands your product, not just your codebase.
• A built-in data warehouse, so users can query product and customer data together using custom SQL insights.
• PostHog AI, an AI-powered analyst that answers product questions, helps users find useful session recordings, and writes custom SQL queries.

What You’ll Be Doing

• Owning products and features from beginning to end. This means originating ideas based on your intuition, talking to users, and understanding our strategy and goals. It means testing MVPs in production with real users. It means iterating on their feedback, owning pricing, and ensuring the ongoing success of your work.
• Collaborating with design (when necessary). Product engineers at PostHog are full-stack, so you’ll ship and own the basic UX of your work using our design system. From there, decide when to collaborate with our design team to iterate and polish the experience.
• Talking to users. Good product engineers read feedback from users and iterate quickly. Great product engineers have users they're friendly with, talk with them frequently, bounce ideas off them, and iterate with them when shipping new things.
• Doing support. Every week, one person in each engineering team is designated the Support hero. Their job is to investigate and resolve issues reported by customers for their product. This role will also include some on-call time.
• Writing docs. The best person to document a new feature is the person who built it.

Requirements

• You've built things agents actually use. We want someone who's done it and has the scars: an API an agent can drive, an MCP server, evals, docs written for a machine. Side projects count.
• Full-stack experience with relevant technologies – e.g., Python or similar, React or similar, something to do with big data is a bonus.
• Experience taking a project from 0 to 1. You might have led a project, been a founder previously, or built an impressive side project.
• Strong writing skills. We document everything, most of it publicly. The ability to communicate your ideas and make persuasive arguments is essential.

Nice to Have

• Have worked at a high-growth SaaS company before.
• Extensive knowledge of Django and/or TypeScript-based React.
• Experience building AI-native products, or integrating AI into existing software.