AI Creative Designer
Summary
Design and automate high-volume creative assets for a global trading platform using AI tools, scripting, and systems thinking to replace manual workflows with scalable pipelines.
- You'll work in production, not theory. Real campaigns, real deadlines, real volume.
- You'll build, not just brief. Your workflows become internal products — pipelines that ingest market intelligence and output production-ready assets.
- You'll multiply the whole Studio. One-off wins become repeatable engines other designers use daily.
- You'll join a culture that shares openly. Deriv is where we write about what we're shipping, what breaks, and what we figured out the hard way.
- Build reusable AI workflows for high-volume output: PPC sets, partner kits, social series, localised variants.
- Create prompt libraries and visual recipes that keep AI output on-brand at scale.
- Turn manual production steps into tools other designers can run without you.
- Design repeatable systems with clear inputs, variables, QA checks, and brand controls.
- Use Claude Code, Codex, Cursor, or similar tools to build scripts, small apps, and automations for creative production.
- Work in GitHub: branch, commit, open PRs, respond to review, and collaborate with engineers where needed.
- Connect AI models to internal pipelines via APIs, including image generation, video generation, TTS, LLMs, and creative QA tools.
- Build scrappy, reliable tools first — then improve them based on real production use.
- Move comfortably between graphic design, illustration, motion graphics, and video editing.
- Turn a static concept into a 15-second motion piece using AI video tools.
- Use the brand system to keep output consistent while pushing what's possible.
- Know when AI output is good enough to ship, when it needs craft, and when it needs to be rejected.
- Understand the campaigns your assets serve — audience, channel, funnel stage, and performance goal — and design accordingly.
- Work with marketing on briefs, but own the craft and the systems behind it.
- Build workflows that make campaign iteration faster without lowering creative quality.
- Image: Magnific, GPT Image, NanoBanana, Krea, Replicate, or similar.
- Video/Motion: VEO, Seedance, Kling, Runway, Higgsfield, or similar.
- LLMs & agents: Claude, ChatGPT, Claude Code, Codex, Cursor, or similar.
- 4–8 years in design, motion, brand, creative production, or a similar hands-on creative role.
- A portfolio that shows full-stack capability across static design and motion/video.
- Evidence that you've built or automated at least one real creative workflow using AI — for example a script, repo, internal tool, Loom walkthrough, documented pipeline, template generator, batch production system, or automation.
- Hands-on experience with AI tools beyond manual prompting. You should be able to explain the workflow you built, the problem it solved, and how others used or could use it.
- Comfort working with GitHub or clear willingness and ability to work in a branch/PR flow.
- Strong brand judgment — you can keep AI output consistent, not just generate pretty chaos.
- Systems thinking: you do not just design one banner; you design the system that can generate 50 useful, on-brand variants.
- Experience with image or video generation APIs.
- Basic scripting ability in JavaScript, Python, shell, or similar.
- Experience with no-code/low-code automation tools when they are the fastest way to solve the problem.
- Experience with DAMs, template systems, asset libraries, or creative operations tooling.
- Performance marketing creative experience across paid social, PPC, lifecycle, affiliates, or partner campaigns.
- Experience documenting workflows so other designers and marketers can use them without hand-holding.