DevRel Lead (Developer Relations)

Remote Worker LTD.

United States

Remote

USD 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Equity
Flexible time off
Health insurance
Mental health support
401(k) retirement plan
Learning and development support
All the hardware, subscriptions, tools
Team off-sites twice a year

Job summary

White Circle is hiring a DevRel Lead to shape how engineers and researchers experience our AI safety platform. You will own developer relations, drive open-source tool launches like Halo, and craft technical content for blogs, demos, and social posts.

You’ll organize hackathons and meetups, primarily in SF and NYC, and build a thriving technical community around our open-source work. US-based, or able to work US hours, with strong English skills.

Qualifications

  • Must have strong technical background in software engineering, ML engineering, or research.
  • Experience with developer tools, open-source projects, or technical product companies is preferred.
  • Proven track record organizing developer events and building communities.

Responsibilities

  • Own White Circle's developer relations and how engineers and researchers discover, understand, and adopt our offerings.
  • Lead technical launches for open-source releases and developer tools, including Halo, from narrative to launch day.
  • Create technical content: blogs, tutorials, demos, and posts on X and LinkedIn.
  • Organize hackathons, meetups, and technical events (SF and NYC focus).
  • Build and grow a technical community around open-source work and the platform.
  • Set up technical partnerships with AI labs, dev tools companies, and research teams.
  • Provide technical input to promo and product videos with design teams.
  • Track metrics (signups, repo stars, views, events, hiring pipeline) and optimize accordingly.

Skills

Software engineering
ML engineering
Researcher

Job description

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 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)


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