Forward Deployed Engineer

Before you read further: this is not a 9-to-5. There is no hand-holding, no playbook waiting for you, and no one to escalate to. If you need structure to be productive, this role is not for you. If you deploy your own agents to get more done, think in systems, and take full ownership of outcomes, keep reading.

Why Now

The AI agents era 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 the execution layer at the moment the market is looking for what makes AI agents real in production. 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 a strong product to a category-defining platform.

The window to build this from the inside is now. Not in six months.

About CreateOS

CreateOS is the unified AI execution layer for the enterprise. One platform to route, govern, validate, and observe AI applications across models and clouds, with sovereignty over where workloads run, backed by NodeOps orchestration across a global compute network. We build production AI for teams that can't afford to ship something that doesn't work.

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 and playbooks from real customer engagements.
• Own the technical onboarding experience for strategic accounts across the full lifecycle.
• 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 plus a meaningful equity stake in the company.
• Performance-based commission tied to customer deployment success and account expansion.
• A direct line to founders and a seat at the product roadmap table.
• Work alongside the most ambitious builders in AI and infrastructure.
• Health benefits, flexible PTO, and a team that operates at full intensity.

How to Apply

• Email hiring@nodeops.xyz with the 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.