Job description

About Cast AI Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. Cast AI also recently launched Kimchi, an open-source AI inference platform built for teams running serious agentic coding workloads. We're building the harness, the routing, and the infrastructure layer that makes running your own AI coding stack possible - and affordable. We're trusted in our core business and early and moving fast with our Kimchi Coding platform, and the cloud native & developer communities are central to how we grow. Location: United States (ideally West Coast, or willing to travel to the West Coast as needed). Responsibilities Build things publicly with the Cast AI suite of products - Core, GPU Optimization, Database Optimization (DBO), and Kimchi - tutorials, demos, integrations - that show developers how to solve real problems. Think live build logs, OSS integrations, or benchmarks you'd want to read yourself. Be the voice of the the developer community: Discord, GitHub discussions, Reddit, HN - be present where developers are already talking about the problems we solve Be the structured feedback loop between our diversity of users and the product - synthesize what you're hearing into actionable signals for the product team. Write technical content that ranks and spreads: setup guides, benchmark breakdowns, comparison posts, integration walkthroughs Speak at conferences, meetups and run workshops - representing Cast AI core products & Kimchi as a technical peer Identify where new users get stuck and advocate hard for fixes Help shape Cast AI’s voice across practitioner communities (devs, DevOps, CNCF, AI, platform/SRE) - what we stand for, what we say when there is trending news in the market Requirements You've built real software and can talk about it credibly - ideally you've used Kubernetes and peripheral CNCF ecosystem tooling, as well as agentic coding tools and have opinions about them You're a strong technical writer - you can explain complex things clearly and make them resonate with the developer audience You're comfortable being the public face of a technical product: blog posts, talks, live demos, community threads Huge plus: You'd have tested and found problems Cast AI & Kimchi solve interesting - before this job posting even existed Bonus: you've worked in or around Kubernetes, LLM inference, or developer tooling What’s in it for you? Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview 1-2 additional interviews based on the role Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Requirements

Must-haves

Be the voice of the the developer community: Discord, GitHub discussions, Reddit, HN - be present where developers are already talking about the problems we solve
Be the structured feedback loop between our diversity of users and the product - synthesize what you're hearing into actionable signals for the product team.
Write technical content that ranks and spreads: setup guides, benchmark breakdowns, comparison posts, integration walkthroughs
Speak at conferences, meetups and run workshops - representing Cast AI core products & Kimchi as a technical peer
Identify where new users get stuck and advocate hard for fixes
Help shape Cast AI’s voice across practitioner communities (devs, DevOps, CNCF, AI, platform/SRE) - what we stand for, what we say when there is trending news in the market
You've built real software and can talk about it credibly - ideally you've used Kubernetes and peripheral CNCF ecosystem tooling, as well as agentic coding tools and have opinions about them
You're a strong technical writer - you can explain complex things clearly and make them resonate with the developer audience
You're comfortable being the public face of a technical product: blog posts, talks, live demos, community threads
Huge plus: You'd have tested and found problems Cast AI & Kimchi solve interesting - before this job posting even existed
What’s in it for you?
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.

Nice-to-haves

Bonus: you've worked in or around Kubernetes, LLM inference, or developer tooling

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aikubernetesllm

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Learning Budget