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Internal Enablement Lead

San Francisco, CA | New York City, NY | Seattle, WA

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

Anthropic is pioneering safe and reliable AI assistants. As Claude continues to transform how work gets done, we're seeking an exceptional learning and development professional to ensure every Anthropic employee can harness Claude's full potential in their daily work.

We are looking for an Internal Claude Enablement Lead to design, deliver, and scale educational programs that empower all Anthropic employees—technical and non-technical alike—to effectively use Claude. You will be responsible for creating a comprehensive internal education ecosystem that accelerates productivity and innovation across the company. This role sits at the intersection of learning design, program management, and internal advocacy, requiring someone who can translate Claude's capabilities into practical, role-specific applications that drive measurable adoption and impact.

Responsibilities:

  • Design and maintain a comprehensive internal Claude education program, including scheduling, curriculum development, and delivery of training sessions

  • Adapt external-facing Claude educational materials for internal use, enriching them with Anthropic-specific workflows, use cases, and best practices

  • Deliver engaging training sessions that cater to diverse audiences, from engineers to operations teams, ensuring all employees can leverage Claude effectively in their roles

  • Build and maintain a centralized repository of internal enablement content, making Claude education easily accessible and searchable for all employees

  • Gather continuous feedback from participants to iterate on content and delivery methods, ensuring programs meet evolving needs

  • Partner with team leads and subject matter experts across the organization to identify Claude use cases and integration opportunities

  • Coordinate with project leads to schedule specialized sessions on frontier capabilities and technical implementations when needed

  • Track and measure internal Claude adoption metrics, identifying gaps and opportunities to increase usage

  • Create role-specific Claude playbooks that demonstrate practical applications for different functions

  • Champion Claude adoption by showcasing success stories and building an internal community of power users

You may be a good fit if you:

  • Have 5+ years of experience in learning and development, technical training, or enablement roles

  • Excel at translating technical concepts into accessible, practical learning experiences for diverse audiences

  • Have successfully designed and scaled internal education programs that drive measurable behavior change

  • Can confidently deliver training sessions on AI tools and demonstrate proficiency with Claude or similar AI assistants

  • Possess strong program management skills and can juggle multiple training initiatives simultaneously

  • Are data-driven and comfortable tracking adoption metrics to measure program impact

  • Have experience building and maintaining knowledge repositories or learning management systems

  • Can partner effectively with stakeholders at all levels to understand their needs and customize learning solutions

  • Are curious about AI capabilities and excited to help others discover new ways to work with Claude

  • Understand how to create feedback loops that continuously improve educational content and delivery

  • Can balance standardized curriculum with customized, team-specific training needs

The expected salary range for this position is:

Annual Salary:

$250,000 - $290,000 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 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.

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