As a product engineer at PostHog you take products and features from idea to working solution, full stack. You work in small autonomous teams in a natively remote, async way.
Responsibilities
- ▹Own products and features from beginning to end: originate ideas from intuition and talking to users, understand strategy and goals, test MVPs in production with real users
- ▹Iterate on feedback, own pricing and ensure the ongoing success of your work
- ▹Collaborate with design when necessary; ship the basic UX using the design system
- ▹Talk to users, read their feedback and iterate quickly
- ▹Do support: each week one person in every engineering team is the Support hero who investigates and resolves customer-reported issues; the role also includes some on-call time
- ▹Write docs: the content team helps review and polish, but the person who built a feature is the best one to document it
Requirements
- ▹You have built things agents actually use: 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 and 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 or built an impressive side project
- ▹Strong writing skills: everything is documented, mostly publicly, so communicating ideas and making persuasive arguments is essential
Nice to have
- ▹Previous work at a high-growth SaaS company
- ▹Extensive knowledge of Django and/or TypeScript-based React
- ▹Experience building AI-native products or integrating AI into existing software
Soft skills
Proactivity and ownershipOptimistic problem solvingKindness, low ego and professional respectStrong written communication
What we offer
- ▹Natively remote work with async-first communication
- ▹Meeting-free Tuesdays and Thursdays
- ▹Public company handbook with a transparent roadmap, strategy and way of working
- ▹Autonomy in choosing what to work on
About the company
PostHog started with open-source product analytics (Y Combinator W20) and has since shipped more than a dozen products. More than 450,000 organizations have installed it, and it has raised over USD 180 million from investors.
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