KERNEL (kernel.sh) Logo

KERNEL (kernel.sh)

DevRel Engineer

Posted 13 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
175K-235K Annually
Mid level
In-Office
San Francisco, CA, USA
175K-235K Annually
Mid level
Build open-source tools, SDKs, demos, and docs to improve Kernel's developer experience; create tutorials and content; engage and support the developer community on GitHub/Slack/Discord/Twitter; assist enterprise customers with hands-on solutions engineering and influence product direction as an early team member.
The summary above was generated by AI
About Kernel

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.

About the role

As a DevRel 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 DevRel 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.

What you’ll do

  • 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

  • Iterate on Kernel's developer documentation as a first-class product surface

  • Engage with our community on GitHub/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

What we’re looking for

  • 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, PlanetScale)

  • 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

What you can expect as a Kernel

  • 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

Hiring process

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

  1. 30 minute intro call with one of Kernel’s co-founders

  2. 45-minute technical interview (virtual)

  3. Half-day on-site (virtual or in-person) working with our team on relevant challenges.

  4. Offer!

Similar Jobs

18 Days Ago
In-Office or Remote
USA
80K-180K Annually
Entry level
80K-180K Annually
Entry level
Hardware • Information Technology
The Developer Relations role involves managing the public community, creating engaging content, providing technical assistance, running community programs, and integrating user feedback into product decisions.
Top Skills: Ai SkillsTypescript
An Hour Ago
In-Office or Remote
USA
109K-251K Annually
Mid level
109K-251K Annually
Mid level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Field-based pharmaceutical sales role promoting Primary Care portfolio to providers and health systems. Execute brand and account plans, deliver approved promotional and disease-state education, build compliant clinical relationships, coordinate access pathways, use digital tools and cross-functional collaboration to drive territory performance and patient outcomes.
5 Hours Ago
Remote or Hybrid
United States
106K-160K Annually
Senior level
106K-160K Annually
Senior level
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Manage complex tax returns and consulting for partnerships, mentor staff, and develop tax planning strategies while ensuring compliance with tax regulations.
Top Skills: Internal Revenue CodeIrs RegulationsTax-Related Software

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account