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Deriv is seeking a senior Full-Stack Creative Technologist in Cyberjaya to build AI-powered production pipelines. You’ll design the factory for high-volume output, integrate AI tools, and ship repeatable internal tools that scale creative production.
You’ll work across design, motion, and video, combining code, visual craft, and systems thinking to automate workflows, reduce bottlenecks, and empower other designers with robust tools.
Cyberjaya, Malaysia | Posted on 21/07/2026
This is an Individual Contributor (IC) role. You'll lead through creative expertise, systems thinking, and the tools you build — not people management.
You'll be producing creative for a global trading platform reaching millions of traders across languages, cultures, and channels. The old model from brief to launch takes weeks. Your job is to collapse that into hours, then automate it so it stays collapsed.
That means moving fluidly across illustration, static, motion, and video — and treating every repeated manual task as a bug to be fixed with a better system.
You're not here to push pixels. You're here to build the tools that make pixels push themselves.
Most designers use AI. You build with it. When a workflow is slow, you don't just prompt harder — you use Claude Code, Codex, Cursor, or similar AI coding agents to build the tool, script, or workflow that fixes it.
You're a designer who can make software work for creative production — using AI agents to build the tools, scripts, and workflows that remove bottlenecks.
You've produced creative at scale. You've felt the pain of manual production that can't keep up — and you refuse to work that way anymore.
You're a true full-stack creative. No hiding behind "I only do static" or "I only do video." You see visual language as a whole and use whatever medium tells the story.
You build with AI, not just prompt it. You have hands‑on experience shipping something real with Claude Code, Codex, Cursor, or similar — a script, an internal tool, an automation, or a documented workflow that solved a real production problem.
You speak fluent GenAI.
You think in systems. Templates, components, variables, version control, QA loops, and repeatability are part of how you design.
You own outcomes. When the AI hallucinates, you fix it. When a request breaks the brand system, you push back with a better way. You act as if company success is your personal responsibility.
Design: Figma, human‑centred design methods.
Build: AI coding tools such as Claude Code, Cursor, Codex, or similar; React/TypeScript; GitHub.
Ops: ClickUp, Slack.
This is demanding work. You'll direct systems that generate thousands of variants when you used to craft one. You'll debug prompt failures and broken scripts. You'll teach non-designers to use the tools you build. You'll accept that "perfect" is sometimes the enemy of "shipped."
But you'll shape what creative looks like when production isn't the bottleneck — and build a skill set most designers don't have yet.
If you want to craft individual assets in silence, this isn't it. If you want to build the machine that creates at scale, it might be.