Posthog
5 open TypeScript positions
Open Positions
Design Engineer
A frontend-focused design engineer role at PostHog, blending pixel-perfect design with high-velocity engineering to build complex UI components and a design system. The role emphasizes shipping fast, leveraging AI tools, and owning product quality end-to-end.
Software Engineer AI-enabled Product Autonomy
This role involves joining the Twig team to build an AI-enabled product development loop aimed at achieving product autonomy through an AI-first workflow. Key responsibilities include scaling the language model gateway to handle high request volumes and building/optimizing coding sandboxes for isolated AI agent execution. The ideal candidate is a backend-focused builder proficient in Python and TypeScript who thrives in scale-up environments and is excited about engineering-led decision-making.
Devex Engineer
The DevEx Engineer will focus on enhancing the development experience for PostHog's 100+ engineers, aiming to double their shipping speed. Key responsibilities include talking to engineer users to identify bottlenecks, upgrading dependencies like moving to Django 5, and reducing the time from idea to deployed Pull Request. This role requires experience or a strong desire to work on Developer Experience (DevEx) problems using Python/Django and TypeScript.
Product Engineer
PostHog is seeking Product Engineers to own products and features end-to-end, from ideation and user feedback iteration to owning pricing and ensuring ongoing success. Responsibilities include being full stack, talking to users frequently, doing weekly support rotations, and writing extensive documentation. Candidates should have full-stack experience (e.g., Python, React) and a proven ability to take projects from 0 to 1.
AI Product Engineer
This role seeks a full-stack engineer to leverage LLMs to enhance PostHog's products, specifically focusing on building and shipping end-to-end AI applications. Key responsibilities include owning features from ideation to iteration, implementing AI features, interacting directly with users, and serving as a weekly Support Hero. The engineer will build on real customer data to create background agents embedded in engineering workflows or focus on observability features for AI systems.