Fireworks AI is building the future of generative AI infrastructure, delivering the highest-quality models with the fastest inference in the industry. They are seeking a Product Designer to simplify complex AI infrastructure into intuitive experiences for developers, owning the design process from research to high-fidelity design and iteration. The role involves partnering with engineers and product managers to create cohesive and effortless developer experiences across the platform.
Responsibilities:
- Own design from zero to ship — research, prototyping, high-fidelity design, and iteration based on real usage
- Make AI infrastructure intuitive — translate complex technical workflows (model deployment, inference monitoring, agent orchestration) into clear, usable interfaces
- Build and evolve our design system — establish the visual language and component library that keeps our platform consistent as we scale
- Partner deeply with Engineering and PM — sit at the table where product decisions are made, not downstream of them
- Design with AI, not just for AI — use AI-powered design tools to accelerate your own workflow. We practice what we preach
- Simplify developer experience across the platform — from onboarding to production, every touchpoint should feel cohesive and effortless
Requirements:
- 5+ years of product design experience, ideally in developer tools, cloud platforms, infrastructure products, or complex B2B systems
- A strong portfolio that shows you can think in systems, not just screens — we want to see how you solve hard UX problems, not just visual polish
- Figma expert with fluency in supporting tools (FigJam, Framer, Principle, or similar)
- Startup-tested — you've owned product areas end-to-end and thrive with ambiguity
- Genuinely curious about AI — you use LLMs, you follow the space, you have opinions about where it's going. This isn't a checkbox; it's core to the role
- A strong communicator who can articulate design rationale to engineers, PMs, and leadership
- Experience designing for developer platforms, APIs, or cloud infrastructure (AWS, GCP, Azure, Vercel, or similar)
- Familiarity with front-end development or design-to-code workflows
- Exposure to agent-driven UX patterns — how humans interact with autonomous AI systems
- An eye for turning technical constraints into design opportunities rather than limitations