Build public tutorials, demos, integrations, benchmarks, and technical content for Cast AI and Kimchi. Engage developers across Discord, GitHub, Reddit, and Hacker News; synthesize community feedback for product teams; represent products at conferences and workshops; identify onboarding issues; and help shape the company’s voice across cloud-native, DevOps, AI, platform, and SRE communities.
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
- 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
- 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.
- 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
Similar Jobs
Artificial Intelligence • Fintech • Software • Travel
Leads strategy and operations for the partnerships organization, partnering with business development, partner success, finance, systems, and enablement. Owns segmentation, planning, metrics, pipeline reviews, partner economics, deal desk, and operating cadence. Develops AI strategy and productivity improvements across forecasting, partner scoring, and field insights. Builds analyses directly, influences senior revenue leaders, and hires and manages a team of analysts and operations partners.
Top Skills:
Ai AutomationArtificial IntelligenceData AnalyticsRevenue Operations Systems
Artificial Intelligence • Cloud • Information Technology • Security • Social Impact • Software
Lead the evaluation, training, fine-tuning, deployment, and continuous improvement of AI and machine learning models. Build prompt engineering, model evaluation, benchmarking, and performance-tracking tools; optimize Elasticsearch-backed AI data systems; assess commercial and open-source LLMs; and collaborate with product, engineering, and security teams to deliver safe, scalable AI features.
Top Skills:
A/B TestingAmazon BedrockAmazon SagemakerAnthropicData PipelinesElasticsearchHugging FaceLarge Language ModelsMachine LearningMeta LlmsMistralOpenaiPrompt EngineeringPythonPyTorchScikit-LearnSupervised LearningTensorFlow
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Investigate and respond to security detections across endpoint, identity, email, network, and cloud environments. The analyst performs forensic and malware analysis, investigates Microsoft 365 threats, evaluates logs and telemetry, recommends remediation, improves detection processes, and communicates findings to customers. The role requires incident response knowledge, operating system and network fundamentals, identity and email security awareness, scripting skills, AI familiarity, and availability for a 4x10 schedule including weekends.
Top Skills:
Active DirectoryArtificial IntelligenceBashCrowdstrike FalconEndpoint Detection And Response (Edr)LinuxmacOSMicrosoft 365Microsoft Entra IdMitre Att&CkOktaPowershellPythonSIEMWindows
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
