Technical Specialist, Claude Code
About the role
Drive end-user excitement inside enterprise accounts (primary focus)
Design and deliver customer-specific enablement programs — workshops, office hours, "build your first agent" labs, role-based curricula for engineering, data, platform, security, and knowledge-worker audiences
Enable and excite champions and AI Center of Excellence leads inside customer orgs, arming them to scale the motion without you in the room
Support strategic pilots with pre-sales technical enablement
Partner with Account Executives, Applied AI, and customer engineering leads on pilots for strategic accounts
Carry pilot context into post-sale engagement so the customer’s experience is seamless and deeply focused upon their unique needs
Run hackathons and builder events that create lasting momentum
Build the demos, content, and reference implementations that sell themselves
Build production-quality demo apps, reference architectures, and code samples on the Claude Developer Platform, Claude Code, and Claude Enterprise (including Cowork) — using the products daily yourself as core infrastructure
Create technical content — tutorials, blog posts, recorded walkthroughs, internal "cookbooks" — tailored to enterprise developer audiences and their real workflows (CI/CD, IDE integration, secure coding, agentic workflows, multi-agent orchestration)
Translate new product capabilities into field-ready content within days of release
Deliver keynotes, technical talks, and live-coded demos at customer all-hands, internal AI summits, and Anthropic-hosted builder events
Run "ask me anything" sessions with customer engineering organizations and engage credibly on architecture, prompting, agent design, evaluation, developer workflow, and the honest limitations of where AI coding tools are today
Represent Anthropic with our customers' engineering communities and, where appropriate, the broader developer ecosystem
Partner across GTM and back to product
Closely with Sales, Applied AI, and Customer Success to sequence engagements that compound (pilot → activation → adoption → value)
Responsibilities
Drive end-user excitement inside enterprise accounts (primary focus)
Design and deliver customer-specific enablement programs — workshops, office hours, "build your first agent" labs, role-based curricula for engineering, data, platform, security, and knowledge-worker audiences
Enable and excite champions and AI Center of Excellence leads inside customer orgs, arming them to scale the motion without you in the room
Support strategic pilots with pre-sales technical enablement
Partner with Account Executives, Applied AI, and customer engineering leads on pilots for strategic accounts
Carry pilot context into post-sale engagement so the customer’s experience is seamless and deeply focused upon their unique needs
Run hackathons and builder events that create lasting momentum
Build the demos, content, and reference implementations that sell themselves
Build production-quality demo apps, reference architectures, and code samples on the Claude Developer Platform, Claude Code, and Claude Enterprise (including Cowork) — using the products daily yourself as core infrastructure
Create technical content — tutorials, blog posts, recorded walkthroughs, internal "cookbooks" — tailored to enterprise developer audiences and their real workflows (CI/CD, IDE integration, secure coding, agentic workflows, multi-agent orchestration)
Translate new product capabilities into field-ready content within days of release
Deliver keynotes, technical talks, and live-coded demos at customer all-hands, internal AI summits, and Anthropic-hosted builder events
Run "ask me anything" sessions with customer engineering organizations and engage credibly on architecture, prompting, agent design, evaluation, developer workflow, and the honest limitations of where AI coding tools are today
Represent Anthropic with our customers' engineering communities and, where appropriate, the broader developer ecosystem
Partner across GTM and back to product
Closely with Sales, Applied AI, and Customer Success to sequence engagements that compound (pilot → activation → adoption → value)
Requirements
3–7+ years in a customer-facing technical role — Solutions Architecture, sales engineering, developer relations, or technical consulting.
A career that includes meaningful time as a software engineer, founder, solutions engineer, developer advocate, or Solutions Architect.
Use Claude Code, the Claude Developer Platform, and Cowork as core infrastructure in your own work.
Can ship a working demo over a weekend, steer an agent through a non-trivial task live, and have opinions about what's actually good.
Can hold a room of engineers.
Have delivered technical talks, workshops, or training to engineering audiences — platform engineers, ML/AI teams, security-minded enterprise architects — and know the difference between a session that creates awareness and one that creates champions.
Qualifications
Deep enthusiasm for AI with hands-on experience building with LLMs and an instinct for how this technology should be used responsibly inside large organizations.
Skills
Builder credibility.
Strong written and visual communication.
Project management instincts.
Willingness to travel.
Benefits
Annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Pay
$180,000—$365,000 USD
Schedule
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.
Logistics
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
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.
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!
Guidance on Candidates' AI Usage
We have a policy for using AI in our application process. Please review it here.