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Anthropic

Full Stack Engineer (Education Labs)

Posted Updated
Discussion
  • 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 is a new kind of role: part researcher, part product builder, part interaction designer. You’ll be the second technical builder on a small team studying how AI transforms human capability—and shipping features based on what we discover
  • You’ll have significant creative license to define what “good” looks like, exploring new interaction patterns rather than optimizing existing ones
  • We’re skeptical of tutorials, onboarding flows, and engagement metrics. We care about experiences that make users progressively more capable, curious, and empowered over time
  • This means integrating skill development into product design, using Claude itself as a capability-building partner, and measuring success by how users actually grow
  • You’ll operate as a one-person technical shop: prototyping new ideas, establishing technical direction, and shipping production-quality features to millions of users
  • You’ll need strong product instincts and clean interface design sensibilities, balanced with comfort in ambiguity and frontier thinking
  • 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, with particular attention to the front-of-the-frontend: motion, polish, and interaction feel
  • Define technical direction for the team—establish patterns others can follow
  • 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 the highest-leverage opportunities and build conviction across stakeholders
  • Translate research insights about skill development and human-AI collaboration into shipped product through close collaboration with researchers
  • Document and share your work through clear writing, prototypes, and presentations that influence thinking across the organization
  • This is a hands-on technical role building product features, embedded within a research team
  • You’ll provide technical guidance and help set direction, but this role doesn’t involve people management off the bat

Benefits

  • Comprehensive health, dental, and vision insurance for you and your dependents
  • Inclusive fertility benefits via Carrot Fertility
  • 22 weeks of paid parental leave
  • Flexible paid time off and absence policies
  • Mental health support for you and your dependents
  • Competitive salary and equity packages
  • Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
  • Retirement plans with competitive matching
  • Life and income protection plans
  • $500/month flexible wellness and time saver stipend
  • Commuter benefits
  • Annual education stipend
  • Home office stipends
  • Relocation support for those moving for Anthropic
  • Daily meals and snacks in the office
  • Strong full-stack engineering with design sensibility
  • Track record of influencing roadmaps and decisions beyond your immediate team
  • Ability to build productive relationships with Product, Design, Research, and Engineering teams—especially when your team isn’t the owner
  • 6+ years building and shipping web products, with deep expertise across the stack
  • Strong sense of prioritization—knowing what to build now, what to defer, and what to cut
  • A portfolio showcasing innovative interaction designs and high-quality implementations
  • Strategic leadership and coalition building
  • Track record of independently driving features from prototype to production
  • Strong front-end craft: TypeScript/JavaScript, React, CSS—with an eye for interaction design, motion, and visual detail
  • Ability to rapidly prototype, test with users, and iterate toward production
  • Experience setting vision, shaping team strategy, and building conviction across cross-functional stakeholders
  • Research mindset with product execution
  • Strong instincts for product design and user experience, even without formal design training
  • Solid back-end and data pipeline experience: Python, API design, analytics infrastructure
  • 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
  • Comfort with ambiguity and exploring undefined problem spaces
  • Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
  • Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
  • Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices
  • We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed
  • Experience in developer tools, creative tools, learning platforms, or other products where user skill development and mastery matter more than time-on-site
  • Background in learning sciences, cognitive science, HCI, skill acquisition research, or educational psychology (formal or self-directed)
  • 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
  • Experience building AI-native product experiences or working with LLMs in production contexts
  • 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
  • Background in learning sciences, cognitive science, HCI, or educational psychology
  • Experience in developer tools, creative tools, or learning platforms where mastery matters more than engagement
  • Published writing, talks, or open-source work on skill development or human-AI interaction

Skills

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