Full Stack Engineer, Education Labs

How they work

• Annual Salary: $300,000—$405,000 USD Logistics 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 Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: 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 offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Eligibility

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How to apply

• 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, 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 You may be a good fit if you have: Strong full-stack engineering with design sensibility 6+ years building and shipping web products, with deep expertise across the stack Strong front-end craft: TypeScript/JavaScript, React, CSS—with an eye for interaction design, motion, and visual detail Solid back-end and data pipeline experience: Python, API design, analytics infrastructure A 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 building conviction across cross-functional stakeholders 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 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 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 contexts Strong candidates may also have 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 Experience building AI-native product experiences or working with LLMs in production What this role is not This is a hands-on technical role building product features, embedded within a research team.
• We encourage you to apply even if you do not believe you meet every single qualification.