Why Now
The agentic AI era is not coming. It is here. Developers are no longer just writing code; they are orchestrating agents, deploying AI-native applications, and demanding infrastructure that moves at the speed of thought. The gap between idea and production is being compressed from weeks to seconds, and the teams that own that compression layer will define the next decade of software.
CreateOS is that layer. We built a 47-second deploy pipeline at a moment when the market is desperately looking for the deployment OS that makes agentic applications real. Every major AI lab, every YC batch, every developer tool company needs what we are building. We have traction, we have revenue, and we are now building the team that will take this from strong product to category-defining platform.
The window to build this from the inside is now. Not in six months.
About CreateOS
CreateOS is the AI-native deployment OS built for the agentic era. One-click full-stack deploys in 47 seconds, native MCP integration with Claude Code and Cursor, managed databases, GPU compute, and a Skills marketplace. $4.6M in revenue. 80,000+ active builders. Growing fast.
The Role
As a Forward Deployed Engineer (FDE), you sit at the intersection of product, engineering, and sales. You are embedded directly with our highest-value customers and prospects, understanding their infrastructure pain, translating it into working solutions on CreateOS, and feeding brutal product feedback back to core engineering.
This is not a support role. This is an impact role. You will write code, configure deployments, architect solutions, and present them in the same breath.
What You'll Do
Embed with enterprise customers and high-growth startups (YC, a16z-backed) to architect and deliver their deployments on CreateOS
Build custom integrations, deploy templates, and configure workflows that showcase CreateOS's full capability stack
Operate as the technical face of CreateOS in pre-sales cycles, running live demos, answering deep infrastructure questions, and closing technical blockers
Translate customer pain into documented product gaps; work directly with core engineering to ship fixes fast
Build reusable deployment templates, playbooks, and Skills marketplace contributions from real customer engagements
Own the technical onboarding experience for strategic accounts end-to-end
Participate in the #BuildItNow community: workshops, live demos, technical content
Deploy your own agents and AI workflows to multiply your output. We expect it. We reward it.
What We're Looking For
Must Have:
3 to 6 years of full-stack or backend engineering experience (Node.js, Python, Go, or equivalent)
Strong understanding of containerization (Docker, Kubernetes) and CI/CD pipelines
Proven ability to thrive in ambiguous, customer-facing technical environments
Experience with cloud infrastructure (AWS, GCP, or equivalent)
Can context-switch between writing code and presenting to a CTO in the same afternoon
Strong Plus:
Experience with MCP (Model Context Protocol) or AI-native tooling (Claude Code, Cursor, Copilot)
Familiarity with GPU compute workloads or AI inference infrastructure
Prior experience at a PLG SaaS startup or as an early engineer at a dev tools company
Multilingual communication skills are an asset given our global builder community
What You'll Get
Competitive salary + meaningful equity stake in the company
Performance-based commission tied to customer deployment success and account expansion
Direct access to founders and a seat at the product roadmap table
Work alongside the most ambitious builders in AI and Web3
Health benefits, flexible PTO, and a team that operates at full intensity
How to Apply
Email hiring@nodeops.xyz with subject line: FDE - [Your Name]
Include: your GitHub, a deployment you're proud of, and one paragraph on why infra is the hardest problem in AI.