As a DevRel, your job will be to: Delight dev communities with examples of scripts, use cases and app demos Engage in dev forums (hn, reddit, github, dev.to, so, ph, slack and discord channels, etc.) Write and record tutorials Write technical blog posts Show how to use our product Contribute to our documentation Foster a sense of community on our discord Participate in the product roadmap and bring technological and market perspective into our tooling We are looking for someone who will deeply understand Octomind and help the dev community get on board. You’ll start as an individual contributor but can grow into a lead role as we expand our team and users. You are passionate about web development, code quality, and testing, and cutting-edge technologies - AI in particular. You naturally engage and love connecting with other developers. You have built a community of your own. You’ve written technical content. You have experience in public presentations, talks, animation of a community, meetups, etc. You’ve already built a product/community from scratch. The beginnings of all great things have their own very particular challenges. You’ve got convictions and know how to convey your passion to the benefit of the many and with respect to others’ opinions. Engineering skills: In-depth knowledge and understanding of software testing and test automation Proven knowledge of Typescript - both backend (node.js) and frontend (react/next.js) Using testing frameworks, e.g. jest, playwright, cypress etc. Familiarity with CI/CD pipelines, e.g. GitHub pipelines, Azure DevOps pipelines, jenkins etc. Familiar with the open source world, at best, you have contributed yourself Share our love for quality software and clean code Octomind is an AI-powered end-to-end test platform for devs that finds bugs before their users do. All we need is your web app’s URL. We auto-generate, run and auto-maintain your UI tests and help debug your code. Octomind was created out of the passion for data and code quality. The co-founders Marc and Daniel met at their previous AI startup (understand.ai, which successfully exited in 2019), where they encountered never-ending problems with end-to-end testing. They tried many frameworks and tools, but there was nothing that wasn’t a pain for the dev teams to write and maintain, wouldn’t hold back releases or was reasonably priced. The recent progress in AI models presented a unique opportunity to solve the e2e testing problem at scale. They assembled a team with years of experience in baking AI into software products. We use our AI agents to discover user flows and interactions leading toward a desired user goal. This serves as the foundation for creating deterministic test cases. We use it for automated test case discovery and are working on expanding it to automated maintenance. Though not fully open-sourced, we believe in transparency in building software. We build on top of open-source frameworks (Playwright) and open-source CI integrations and debugging tools. Check our GitHub and Docs. We are a well-attuned team of full-stack and ML engineers who are laser-focused on building the testing tool we wish we always had. We are looking for someone to help us share what we learn with the world and engage with the community.