Kernel is a developer platform that provides Crazy Fast Browsers-as-a-Service for browser automations and web agents. Our API and MCP server allow developers to instantly launch browsers in the cloud without managing infrastructure.
Our serverless browser platform handles the hard stuff: autoscaling reliable browser infrastructure, observability, and the messy details of web interaction so developers can focus on what their agents do, not how they do it. Kernel makes AI tangible, practical, and powerful, allowing developers to deploy agents that can truly interact with the digital world.
We’re used by teams at Cash App, Rye, and countless others for tasks like deep research, QA automation, and real-time web analysis. We've raised $22M from Accel, YCombinator, Vercel, Paul Graham, Solomon Hykes (Docker), David Cramer (Sentry), Charlie Marsh (Astral), and more.
One line of code deploys any web agent to our cloud. The rest is up to you. If you're interested in building critical infrastructure for the next generation of AI applications, we'd love to chat.
About the role
Kernel is API infrastructure, not just software. Where Kernel code ends, a customer's code begins. Our customer engineers help bridge this gap.
Customer Engineering at Kernel is a hands-on engineering role split evenly between two core responsibilities:
50% Customer-Led Engineering & Debugging: You'll work directly alongside customers developing technical solutions and debugging their code—from SDK integration challenges to MCP server configurations, browser automation edge cases, and everything in between. You're not just answering questions; you're diving into code, shipping fixes, and shaping our product roadmap.
50% Automation & Tool Building: You'll build tools, automations, AI skills, and integrations that systematically eliminate the need for manual technical support. Think custom MCP tools, automated debugging workflows, AI-powered documentation generation, developer tooling that makes support feel like engineering, and anything else that makes technical support scale.
You'll be the Alex Albert of Kernel, pushing the AI industry forward by showing what is possible—and making support with a human touch feel like the most exciting engineering challenge in the ecosystem.
What you’ll do
Develop solutions, debug technical customer issues, and drive our product roadmap based on customer feedback
Build tools, automations, and AI skills that automate away technical support work (MCP tools, debugging workflows, documentation generators, etc.)
Engage with our community on GitHub, Slack, and Twitter, answering questions and amplifying cool projects
Contribute to Kernel's technical blog, developing content that educates, inspires, and grows developer adoption
Build OSS tools, libraries, demos, and integrations that make Kernel's developer experience more powerful and easier to use
Influence Kernel's culture, product, and direction as a founding team member
What we’re looking for
You ship: tools, projects, and ideas that push the ecosystem forward
You code (and vibe code): strong engineering background who cares about great devEx (our inspirations: Modal, Supabase, PlanetScale)
You get developers: you know what excites them, what annoys them, and how to speak their language
You want impact: you're energized by small, high impact teams and want to build something that delights software engineers
You have strong opinions: about Agent skills, MCP servers, developer tools, and how technical support should work in 2026
You think in systems: you see patterns in support requests and immediately start building the tool that eliminates them
You're tool-obsessed: you might spend more time in Claude Code debugging support workflows than most engineers spend in their main editor
You engage publicly: you share your thoughts on developer tools, support workflows, and the future of customer engineering
What you can expect as a Kernel
Industry-competitive salary
Above market equity
Premium medical + dental coverage + dependent coverage
Small, trusting team of senior + staff engineers
Default async with minimal bureaucracy, only two meetings a week
$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:
30-minute intro call with one of Kernel’s co-founders
45-minute technical interview (virtual)
Half-day on-site (virtual or in-person) working with our team on relevant challenges.
Offer!
Top Skills
What We Do
we build crazy fast, open source infra for ai to access the internet. trusted by cash app, rye, and 1000+ others. backed by accel & y combinator (s25).
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