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Own the full sales cycle for Kernel, including prospecting, qualification, discovery, negotiation, and closing. Build relationships with developers and technical decision-makers, understand architecture and API requirements, coordinate with solutions engineering and product teams, manage pipeline accuracy, provide customer and competitive insights, and help establish a repeatable sales motion for the early-stage company.

Own the technical sales process from discovery through production, including demos, solution architecture, closing, and customer onboarding. Architect AI agent and browser automation systems, debug SDK and MCP integrations, guide customers through concurrency, observability, and failure modes, and relay customer needs to engineering and product. The role also involves creating technical content and managing complex, cross-functional enterprise deals.

Product Engineers at Kernel are full-stack developers focused on product development, translating product instincts into code, and delivering user-friendly features with minimal oversight, while driving developer experience improvements.

The Infrastructure Engineer will design and develop scalable infrastructure and developer tools for KB AI. Responsibilities include setting technical direction and participating in company culture building.

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.

Harden and extend a Chromium-based browser runtime running in microVMs: debug and optimize Chromium builds, implement network isolation and proxy/IP handling, collaborate on unikernel isolation and kernel security, build tooling for binary analysis, crash triage, and vulnerability monitoring, and support secure supply chain and reproducible browser images.