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Anthropic

Senior Human-AI Collaboration Research Engineer, Education Labs

Anthropic, San Francisco, California, United States, 94199

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. 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 Education Labs is a research-driven team with a product mandate: we study how AI transforms human capability development, and we build new product paradigms based on what we discover. As a Senior Product Research Engineer, you'll be the second technical builder on this small, mission-driven team—operating with research-level autonomy while shipping features that reach millions of users.

This role sits at the intersection of research exploration and product execution. You'll work alongside researchers studying the societal impacts of AI, while building and shipping features that help people develop skills—both in working with AI itself and in their broader capabilities. You'll have significant creative license to define what “good” looks like, exploring new interaction paradigms rather than optimizing existing patterns.

Our team believes that developing skill with AI is fundamental to human agency and flourishing in an AI-enabled world. We're building experiences that make users more capable, more thoughtful, and more empowered—not just more engaged. This means integrating skill development principles into product design, leveraging Claude itself as part of the capability-building journey, and measuring success by how users grow in their ability to work with AI and apply those skills to their own goals.

You will be something of a one-person technical shop with full-stack ownership, prototyping new ideas, establishing technical direction, and shipping production-quality features. You'll need strong product instincts and clean interface design sensibilities, balanced with comfort in ambiguity and frontier thinking.

Responsibilities

Build and ship features

that help users develop skills in working with AI and translate those skills into their own capability growth—measuring success by skill development and product mastery, not just engagement

Architect and implement end-to-end prototypes

(front-end and back-end) that test new interaction paradigms for skill development with AI, including novel uses of Claude as a skill-building partner

Define technical direction and quality standards

for capability-focused product work in a research context—you'll establish patterns others can follow

Collaborate with researchers

to translate insights about skill development and human-AI collaboration into shipped product experiences

Work closely with product, design, and research teams

across Anthropic to influence how skill development principles shape our broader product strategy

Analyze product data and user behavior

using quantitative and qualitative methods to understand how users develop skills with AI and what actually helps them become more capable

Document and share your work

through clear technical writing, prototypes, and presentations that influence thinking across the organization

Elevate team craft

through thoughtful code reviews, technical discussions, and knowledge sharing—helping others grow their skills

Influence research priorities and team strategy

while mentoring through technical leadership—establishing patterns, stakeholder coordination, reviewing code, and sharing expertise

You may be a good fit if you have

Strong full-stack engineering experience

6+ years building and shipping web products, with deep expertise across the stack

Strong front-end skills: TypeScript/JavaScript, React, HTML/CSS, with an eye for clean, intuitive interface design

Solid back-end and data pipeline experience: Python, API design, data analysis infrastructure

Track record of independently driving features from prototype to production quality

Comfort working as a technical "one-person shop" with full ownership

Deep conviction about human capability and agency

Strong perspective on how technology should enhance human capabilities rather than diminish them

Experience or genuine passion for skill development, human-computer interaction, developer tools, or products that help people become more capable

Understanding that skill development isn't tutorials or onboarding flows—it's experiences that make users progressively more capable, curious, and empowered over time

Interest in how people develop mastery of AI itself and how that translates to broader capability growth

Skepticism of purely engagement-driven metrics; interest in measuring skill development and capability outcomes

Research mindset with product execution skills

Comfort with ambiguity and exploring undefined problem spaces—you define what good looks like

Experience working in research contexts or highly exploratory product environments

Ability to rapidly prototype new ideas, test them with users, and iterate toward production

Strong instincts for product design and user experience, even without formal design training

Excitement about frontier thinking and new paradigms, not just optimization

Strategic thinking and focus

Experience setting vision for product projects, defining roadmaps with clear milestones, and maintaining team focus in exploratory environments

Ability to balance research exploration with concrete deliverables and timelines

Strong sense of prioritization—knowing what to build now, what to defer, and what to cut

Track record of translating ambiguous opportunities into actionable plans

Technical leadership and communication

Experience providing technical direction, particularly in small or early-stage teams

Ability to work effectively alongside researchers, translating between research insights and product implementation

Strong written and verbal communication—you make complex technical and conceptual ideas accessible

Track record of elevating team output through code quality, documentation, and knowledge sharing

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

What this role is not This is a hands-on technical role building product features that ship to users, embedded within a research team. While you’ll provide technical guidance and help set direction, this role doesn’t involve people management or traditional team leadership responsibilities. If you’re looking to transition into engineering management or lead a large team, this likely isn’t the right fit.

Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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.

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.

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