Founding Designer
Overview
kapa.ai makes technical knowledge instantly accessible through AI assistants. 200+ leading companies including OpenAI, Docker, Mixpanel, n8n, Monday.com, Grafana, Logitech, Deepgram, and Nokia already use Kapa on their websites or internally for their teams.
Job Description
We’re looking for a Founding Designer to work directly with our founders and take end-to-end ownership of design at Kapa. This is a rare opportunity to join a fast-growing AI company and design state-of-the-art AI experiences used by millions of users every month. You’ll be the first dedicated design hire, shaping everything from core product UX to brand identity, website, and collateral.
Responsibilities
- - Own end-to-end product design for Kapa''s core experiences (UX, UI, flows, interaction design)
- - Design and evolve Kapa''s brand identity across website, docs, and marketing collateral
- - Work closely with founders and engineers to quickly turn ideas into high-fidelity designs and interactive prototypes.
Required Skills
- - Exceptionally strong product and brand design skills
- - Based in Copenhagen (or EU and willing to travel at least once a quarter to Copenhagen)
- - Technical chops to implement small front-end changes yourself, with strong front-end engineers available to support you
- - Strong affinity for cutting-edge AI tooling
Benefits
- - High ownership and high standards
- - Work directly with founders
- - Collaborate with a team of 25+ stacked with former founders and operators from NASA, McKinsey, BCG, Airbnb, Uber, CERN, and Goldman Sachs
- - Backed by Initialized Capital, Replit, Contextual AI, OpenAI engineers, and Y Combinator (S23)
About the company
Kapa.ai provides automated answers to developer questions by leveraging technical resources to power an LLM-based chatbot. The platform is designed with a singular focus: delivering the most accurate answers about a product. This system is known as the Answer Engine. Kapa.ai follows a philosophy of Evaluation-Driven Development, recognizing that academic benchmarks and leaderboards have limitations. Aligning AI models requires custom evaluations, and the company’s mission is to help organizations deploy reliable AI assistants capable of addressing technical product questions.
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