DevRel Engineer

Devrel Engineer

Kernel provides crazy fast, open source infrastructure for AI agents to use the internet. Our API allows developers to instantly spin up secure browsers and automate anything on the web. We handle all the hard problems of running browser-based agents in production: agents x user credentials, autoscaling, bot detection, and human-in-the-loop workflows. We're used by teams at Cash App, Vercel, Framer, Rye, and over 5000 developers for tasks like QA automation, RPA, virtual assistants, and CUA RL environments.

We've raised $22M from Accel, YCombinator, Vercel, Paul Graham, Solomon Hykes (Docker), David Cramer (Sentry), Charlie Marsh (Astral), and more.

As a Dev Rel Engineer at Kernel, you'll be part builder, part solutions engineer, and fully embedded in the developer community. This is a hands-on engineering role: you'll spend ~50% of your time coding tools, demos, and SDKs and the rest helping developers succeed.

We are an infrastructure company and developers are our core users. As a Dev Rel Engineer, you'll be the public voice of Kernel for developers: creating content, engaging with the community, and bringing insights back to our product and engineering teams. You'll help define how builders learn about browser infrastructure, adopt Kernel, and push the frontier of what AI agents can do on the live Web.

• Build OSS tools, libraries, and integrations that make Kernel's developer experience more powerful and easier to use

• Create high-quality tutorials, guides, and demos showcasing Kernel's core and emerging capabilities

• Own Kernel's developer documentation and iterate on it as a first-class product surface

• Engage with our community on Git Hub/Slack/Discord/Twitter and in-person events, answering questions and amplifying cool projects

• Contribute to Kernel's technical blog, developing content that educates, inspires, and grows developer adoption

• Influence Kernel's culture, product, and direction as a founding team member

• Support enterprise customers with hands-on solutions engineering

• Hands-on familiarity with generative AI, especially agents, MCP, and Kernel

• Strong technical foundation in software engineering or applied AI. You're comfortable building code samples, demos, and lightweight apps

• Developer empathy: you know what excites them, what annoys them, and how to speak their language (our inspirations: Modal, Supabase, Planet Scale)

• Skilled communication abilities with a clear, engaging style across writing, video, and live presentations

• Curiosity, high-agency, and a genuine passion to build something that delights software engineers

• Industry-competitive salary and equity

• Premium medical + dental coverage + dependent coverage

• Small, high-trust team of senior + staff engineers

• Default async with minimal bureaucracy

• $1k / mo budget for LLM usage fees #vibecheck

• Daily lunches on us

• Unlimited PTO

• 401k + company match

• Relocation assistance

We have a simple process focused on real world collaboration and jointly getting to know each other: