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"Simplicity is the ultimate sophistication."
— Leonardo da Vinci
The designer will contribute to the strategic direction of tools and craft user interfaces that build trust in AI technology. They will collaborate with cross-functional teams to define product vision and rapidly prototype ideas.
Responsibilities
- Contribute to the strategic direction of our tools, rooted in deep user empathy
- Define feature areas with exceptional attention to detail and polish, identifying opportunities to improve quality and consistency of broader flows
- Craft beautiful, polished, and delightful user interfaces that build trust and showcase the power of our AI technology
- Collaborate with product managers, engineers, AI researchers and other stakeholders to define product vision, strategy and roadmaps
- Rapidly prototype ideas using code and other methods to communicate concepts and build excitement
Requirements
- 8+ years of product design experience (experience designing complex workflows, enterprise/B2B SaaS, developer tools, or API products preferred)
- Strong portfolio showcasing user-centric design thinking, polished UI craftsmanship, and innovative interaction paradigms
- Proven track record of executing end-to-end on large and complex products or a series of products in ambiguous environments
- Excellent collaboration and communication skills to work effectively with cross-functional teams and influence without authority
- Passion for crafting scaled, highly impactful, safe and beneficial artificial intelligence technologies to enable new possibilities
Key Skills
- Product design
- UI craftsmanship
- Interaction paradigms
- Collaboration
- Communication
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Lovely office space in which to collaborate with colleagues
About Anthropic
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
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