Product Engineer & Researcher, Education Labs

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

As a Product Research Engineer on the Education Labs team, you'll join a small, mission-driven team with significant autonomy, focused on studying the impacts of AI on education and leveraging learning principles to improve our AI products. You'll combine technical prototyping, research, and product thinking to help millions of users learn more effectively with Claude.

Our team believes that learning and education are fundamental to human agency. We're working to ensure AI products are designed with learning principles in mind, creating experiences that empower users and enhance their capabilities. We also study the societal impacts of our technology and its effects on learning and education.

Responsibilities

• Design and build prototypes for new learning-oriented product features that enhance user experience and capabilities

• Conduct empirical research on how users learn with and through AI, using both quantitative metrics and qualitative methods

• Collaborate closely with product, design, and engineering teams to translate learning science insights into shipped features

• Analyze product metrics and user behavior to understand learning patterns and identify opportunities for improvement

• Partner with the Societal Impacts team to study how AI affects education and human learning more broadly

• Write clear research and product docs and present findings to stakeholders across the organization

• As you grow in the role, potentially take on expanded responsibilities including strategy setting, project prioritization, and mentoring

You May Be a Good Fit If You Have

• Technical expertise

  • Experience in a technical role, with strong web development skills (JavaScript, React, HTML/CSS)

  • Experience with Python and data analysis for research purposes

  • Demonstrated ability to rapidly prototype and iterate on product ideas

• Education focus

  • Background or strong interest in education, learning science, or edtech - this could be through formal education, industry experience, or personal projects

  • A well-developed point of view on how AI should enhance human learning and agency

• Team collaboration

  • Experience working cross-functionally with product managers, designers, and engineers

  • Strong communication skills and ability to translate complex ideas for diverse audiences

  • Comfort with ambiguity and ability to define direction for exploratory projects

Strong Candidates May Also Have

• Experience with user research, A/B testing, or learning analytics

• Previous experience in a startup or fast-paced product environment

• Published research or writing on education, learning, or human-AI interaction

• Experience building educational products or tools

• Familiarity with learning sciences research and pedagogical frameworks

The expected salary range for this position is:

Annual Salary:$300,000—$320,000 USD

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.

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.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested