Consumer Education Lead

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.

Core responsibilities

• Design comprehensive learning pathways for different audience segments (higher education, professionals, general consumers)

• Create accessible frameworks that transform technical AI concepts into intuitive mental models

• Partner with marketing, comms, and GTM teams to develop multimedia educational content across formats (written guides, video tutorials, interactive modules)

• Develop content that addresses misconceptions, empowers users, and builds trust

• Build and manage learning management systems that deliver scalable education

• Create progressive learning journeys that build user confidence from "AI curious" to "confident Claude user"

• Design educational programs that can be delivered by ambassadors and evangelists

• Partner with our AI researchers to understand new features and create accessible explanations

• Collaborate with higher education partners to leverage their expertise to create impactful and engaging training curricula and educational content

• Establish metrics to evaluate the effectiveness of educational materials and iterate accordingly

You may be a good fit if you:

• Have 5+ years experience designing educational content for diverse audiences

• Demonstrate expertise in translating complex technical concepts into accessible learning materials

• Have designed progressive learning paths with measurable outcomes

• Have significant experience building and managing educational platforms & LMSs

• Have experience creating mental models that make complex ideas intuitive

• Can balance accuracy with clarity when simplifying sophisticated concepts

• Possess strong project management skills with attention to detail, particularly in building up programs and initiatives in the zero to one phase

• Have experience with higher education contexts, understanding faculty and student needs

• Can move comfortably between technical and non-technical conversations

• Have experience testing and iterating content based on user comprehension

• Are passionate about helping diverse audiences understand and leverage AI technology

• Confidence shifting between strategy & execution mindsets

Strong candidates will also have experience with:

• Experience developing content across multiple learning formats and mediums, such as educational video production or multimedia content creation

• Background in educational technology or instructional design

• Experience designing AI-related courses or integrating emerging technologies in educational contexts

• Tracking record of successful digital learning programs with measurable outcomes

• Familiarity with accessibility principles and inclusive design for learning

• Technical background in communicating AI/ML concepts to non-technical audiences

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 in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. 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.