DevRel Lead (Developer Relations)

TL;DR: We're hiring a DevRel Lead to make White Circle the AI safety platform engineers and researchers actually want to build with. You'll own how we show up to technical audiences: shipping technical content, running hackathons and meetups, launching open-source tools like Halo, and building partnerships across the AI ecosystem.   ABOUT WHITE CIRCLE White Circle https://whitecircle.ai/ is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over one hundred million API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.   WHAT YOU'LL DO - Own White Circle's developer relations: how engineers and AI researchers discover, understand, and adopt what we build - Lead technical launches for open-source releases and developer tools, like our Halo framework, from narrative and demos through to launch day - Write and publish technical content: blog posts, tutorials, walkthroughs, demos, and threads on X and LinkedIn - Organise and run hackathons, meetups, and technical events, mainly in SF and New York - Build and grow a technical community around our open-source work and platform - Set up and run technical partnerships and collaborations with AI labs, dev tools companies, and research teams - Give technical input to promo and product videos, working with our design and creative team on production - Track what's working (signups, repo stars, views, event turnout, hiring pipeline) and double down on it WE'RE LOOKING FOR SOMEONE WHO - Has a strong technical background as a software engineer, ML engineer, or researcher - Has worked at a technical product company, ideally in dev tools, infrastructure, databases, or AI - Has organised hackathons, meetups, or technical events, and can show how they went (turnout, signups, what came out of them) - Has an engaged following among engineers and/or AI researchers on X, LinkedIn, GitHub, or elsewhere - Knows the AI tooling landscape well: coding agents, eval frameworks, open-source models, and who is building what - Can take a complex technical topic and make it compelling for a developer audience without dumbing it down - Thrives with ownership and moves fast without waiting for direction - Is based in the US, or able to work US hours. SF or New York is ideal, but we'll consider exceptional candidates anywhere - Is fluent in English A BIG PLUS - You've led developer marketing or DevRel for a technical launch that drove real adoption - You've contributed to or maintained popular open-source projects - You have existing relationships across the AI research and developer community - You've worked on or around AI safety, evals, or reliability COMPENSATION & BENEFITS - Competitive compensation package, including equity - Flexible time off - Health insurance - Mental health support, including coverage for therapy when you need it - 401(k) retirement plan - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella PROCESS 1. Intro call with Talent (25 min) 2. Take-home assignment, with a choice of a walkthrough of one of our public repos or a launch case study on a sample company 3. Technical chat with Head of Design & Head of Applied Research (45 min) 4. Final conversation with CEO & Head of Engineering (45 min)