Design Engineer, AI Capability Development (Education Labs)
$300k - $405kAnthropic
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We believe skill with AI is fundamental to human agency. Education Labs builds the paradigms that help people become genuinely more capable—not just more engaged. This role blends research, product building, and interaction design. You will prototype ideas, define technical direction, and ship production‑quality features that help users develop real skill with AI. You will have significant creative license to explore new interaction patterns rather than optimizing existing ones. Responsibilities Ship features that help users develop real skill with AI—measuring success by capability growth, not time‑on‑site Architect end‑to‑end prototypes (front‑end and back‑end) that test new interaction paradigms, focusing on motion, polish, and interaction feel Define technical direction for the team and establish reusable patterns Build relationships across Product, Design, and Research to influence how skill development principles shape Anthropic’s broader product strategy Shape team strategy and roadmap—identify high‑leverage opportunities and build conviction across stakeholders Translate research insights about skill development and human‑AI collaboration into shipped product through collaboration with researchers Document and share your work through clear writing, prototypes, and presentations that influence thinking across the organization Qualifications Strong full‑stack engineering with design sensibility 6+ years building and shipping web products, with deep expertise across the stack Solid back‑end and data pipeline experience: Python, API design, analytics infrastructure Portfolio showcasing innovative interaction designs and high‑quality implementations Track record of independently driving features from prototype to production Deep conviction about human capability Strong perspective on how technology should enhance human capabilities rather than diminish them Experience or genuine passion for skill development, HCI, developer tools, or products that help people become more capable Skepticism of purely engagement‑driven metrics; interest in measuring capability outcomes Research mindset with product execution Comfort with ambiguity and exploring undefined problem spaces Ability to rapidly prototype, test with users, and iterate toward production Strong instincts for product design and user experience, even without formal design training Strategic leadership and coalition building Experience setting vision, shaping team strategy, and influencing roadmaps beyond the immediate team Ability to build productive relationships with Product, Design, Research, and Engineering teams—especially when your team isn’t the owner Strong sense of prioritization—knowing what to build now, what to defer, and what to cut Track record of influencing roadmaps and decisions beyond your immediate team Strong candidates may also have: experience in developer tools, creative tools, learning platforms, or other products where skill development and mastery matter more than time‑on‑site; background in learning sciences, cognitive science, HCI, skill acquisition research, or educational psychology; experience with experimentation frameworks, A/B testing, or analytics that measure capability development in production; previous experience in research labs, frontier tech companies, or startups with high autonomy and ambiguity; published writing, talks, or open‑source work on skill development, human‑AI interaction, or product philosophy; experience building AI‑native product experiences or working with LLMs in production. Compensation
$300,000 - $405,000 USD
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