Technical Enablement Lead, Claude Code

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.

Anthropic is looking for a Technical Enablement Lead to curate & deliver the technical curriculum that lets our go-to-market teams, partner, and customers demonstrate and support Claude Code with confidence. You'll own Claude Code enablement—building demos, labs, and content that help sellers showcase agentic coding. This is an ideal role for an engineer who loves teaching, loves developer tools, and wants to shape how field teams talk about the future of AI-assisted development.

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  Deliver Claude Code training for onboarding and ongoing enablement programs

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  Create and maintain training content: demo scripts, hands-on labs, use case libraries, quick-reference guides

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  Build compelling demo scenarios across industries and developer personas

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  Develop competitive positioning content—battlecards, differentiation guides, objection handling

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  Run demo coaching sessions and weekly office hours

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  Translate new Claude Code features into field-ready content rapidly

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  Gather field feedback and track content effectiveness to continuously improve programs

• 7+ years in a technical role (software engineering, solutions engineering, developer advocacy, or technical enablement)

• Strong programming skills—you've shipped real code recently, not just slideware

• You use AI coding tools (ideally Claude Code) extensively in your own work—not as a novelty, but as core infrastructure for how you build and ship

• Track record delivering live technical training or talks

• Experience partnering directly with sales, solutions engineering, or GTM teams

• Experience coaching others on demos or presentations

• Familiarity with enterprise developer workflows

• Public speaking, conference presentations, or community-facing developer advocacy

Location is flexible, with preference for proximity to a major hub (SF, NYC, DC, or Seattle). Regular travel is expected for in-person training delivery and field events.

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.

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.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

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.

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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process