UI/ UX Lead - AI Datacenter Orchestration

Description

Job Summary

We are seeking a Senior UI/UX Lead to own the user experience vision for our AI datacenter orchestration platform. In this role, you will lead product UX for network engineers managing large-scale AI infrastructure—turning complex operational workflows into clear, intuitive, and efficient experiences.

This is a design-led role. You will produce high-quality design deliverables (Figma, prototypes, interaction specs, and UX acceptance criteria) and partner closely with Product Management and Engineering to ship. Engineers will implement the production frontend; your focus is on defining the experience, validating it with users, and ensuring high-fidelity execution.

A key part of the role is leveraging LLM tools to accelerate research synthesis, prototyping, UX writing, and design iteration.

Key Responsibilities

Design & User Experience

• Lead end-to-end UI/UX design for a multi-service datacenter orchestration platform serving network engineering teams.
• Create intuitive workflows spanning the datacenter lifecycle: provisioning, configuration management, network automation, validation, monitoring, and incident response.
• Translate complex technical concepts into clear information architecture, navigation models, user flows, and interaction patterns.
• Produce implementation-ready design deliverables: high-fidelity mockups, prototypes, interaction specs, edge cases, states (loading/empty/error), responsive behavior, and accessibility considerations.
• Conduct user research with network engineers (interviews, usability tests, workflow mapping) to understand operational pain points and optimize workflows.
• Define UX acceptance criteria and partner with Engineering during implementation and QA to ensure the shipped experience matches design intent.
  
  

• Integrate LLM tools into design workflows to accelerate discovery, ideation, UX writing, prototyping, and iteration cycles.
• Use AI assistants for rapid exploration of UI concepts, design pattern alternatives, content drafts, and review checklists.
• Establish team best practices for effective prompt usage, quality control, and repeatable evaluation so LLM-assisted outputs improve both speed and quality.
• Stay current with emerging AI tools that enhance design productivity and collaboration.
  
  

• Own the UX roadmap for the orchestration console in partnership with Product Management and Engineering.
• Drive cross-functional alignment through design reviews, stakeholder workshops, and clear communication of tradeoffs.
• Create a consistent end-user experience across multiple services by defining lightweight UI guidelines, shared patterns, and Figma components.
• Help the organization make better product decisions by bringing a strong customer perspective, measurable UX goals, and iterative validation.
  
  

• 5+ years of professional experience in UI/UX design for complex software products, including enterprise/B2B applications.
• Expert proficiency with modern design tools (Figma preferred; Sketch/Adobe XD acceptable), including componentization and interactive prototyping.
• Proven experience designing data-dense, workflow-heavy interfaces (dashboards, monitoring, configuration, operations tools).
• Experience collaborating closely with frontend engineers and product teams, including producing implementation-ready specs and participating in build reviews.
• Strong understanding of interaction design, information architecture, usability principles, and accessibility fundamentals.
• Excellent communication and presentation skills with the ability to articulate design decisions, tradeoffs, and rationale.
  
  

• Strong ability to produce implementation-ready static prototypes in HTML/CSS/JavaScript (hand-coded or with modern tooling) as an alternative to Figma deliverables.
• Background or familiarity with network engineering, datacenter operations, or infrastructure management.
• Demonstrated experience using LLM tools as part of the design and product workflow.
• Experience designing interfaces for AI/ML infrastructure (GPU clusters, HPC environments) or complex distributed systems.
• Experience building monitoring, observability, incident response, or infrastructure management user experiences.
• Familiarity with Kubernetes, cloud orchestration platforms, or infrastructure-as-code concepts.
• Understanding of network topology visualization, graph-based UIs, or real-time data streaming interfaces.