Owns end-to-end product design for developer-facing AI infrastructure, simplifying model deployment, inference monitoring, and agent workflows. Requires 5+ years of product design experience, strong systems-oriented portfolio, Figma expertise, and comfort working with complex B2B or developer platforms.
160k – 191k/yr
On-site5+ YOEProduct Design
About the role
Responsibilities
Own design from research and prototyping through high-fidelity design, shipping, and iteration based on real usage.
Translate complex AI infrastructure workflows—including model deployment, inference monitoring, and agent orchestration—into clear, usable interfaces.
Build and evolve the design system, including its visual language and component library.
Partner closely with Engineering and Product Management on product decisions.
Use AI-powered design tools to accelerate design workflows.
Simplify the developer experience across onboarding, production, and other platform touchpoints.
Requirements
5+ years of product design experience, ideally with developer tools, cloud platforms, infrastructure products, or complex B2B systems.
A strong portfolio demonstrating systems thinking and the ability to solve complex UX problems.
Expert proficiency with Figma and fluency with supporting tools such as FigJam, Framer, or Principle.
Experience owning product areas end-to-end in a startup environment and working effectively with ambiguity.
Genuine curiosity about AI and hands-on use of large language models.
Strong communication skills, including the ability to explain design rationale to engineers, product managers, and leadership.
Nice-to-Haves
Experience designing developer platforms, APIs, or cloud infrastructure, including AWS, Google Cloud, Azure, or Vercel.
Familiarity with front-end development or design-to-code workflows.
Exposure to agent-driven UX patterns and human interaction with autonomous AI systems.
Ability to turn technical constraints into design opportunities.
Compensation and Benefits
Work on challenging AI infrastructure problems, including low-latency inference and scalable model serving.
Build technology that helps businesses and developers use AI globally.
High ownership and direct impact in a fast-growing team.
Collaborate with engineers and AI researchers on advanced technology.
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