DX Designer - AI Infra & Developer Tools

Verda; España; Hybrid; EUR 65,000 - 90,000; Full time

Job summary

Verda is building a fully featured European AI cloud and focuses on developer tooling that powers configure-and-run workflows across CLI, API, and SDK surfaces.

We are seeking a DX Designer who will own the end-to-end journey for developers, work at the intersection of product design and developer advocacy, and help shape AI-assisted tooling and agents. You should understand how APIs are structured and how Kubernetes workloads and inference pipelines are configured.

Qualifications

• 4+ years of UX or product design experience focused on developer-facing products.
• Experience designing CLIs, APIs, SDKs, docs, or developer portals.
• Coding experience to validate flows hands-on.
• Able to prototype interactions from sketches to functional prototypes.
• Familiar with cloud compute concepts like Kubernetes and storage.
• Strong understanding of API structures and user-oriented design.

Responsibilities

• Collaborate with Engineering to map and improve the developer journey across CLI, API, SDK, and docs.
• Design AI-assisted and agentic UX to simplify developer workflows.
• Own documentation UX: structure, findability, and product flow connections.
• Define DX patterns for CLI output, API responses, and onboarding for programmatic users.
• Identify friction in developer workflows and drive improvements with Product and Engineering.
• Align DX patterns with the broader console design language.

Skills

UX design

Developer experience

Prototyping

API design

Documentation UX

Kubernetes

Cloud compute concepts

Communication skills

Tools

CLI

APIs

SDKs

Docs

Developer portals

Job description

Verda is building a fully featured European AI cloud and focuses on developer tooling that powers configure-and-run workflows across CLI, API, and SDK surfaces.

We are seeking a DX Designer who will own the end-to-end journey for developers, work at the intersection of product design and developer advocacy, and help shape AI-assisted tooling and agents. You should understand how APIs are structured and how Kubernetes workloads and inference pipelines are configured.