About the job
Anthropic launches products at lightning speed and many of them grow at an unprecedented pace, too. For no product is this more true than Claude Code, the fastest-growing software product in history. That said, speed of adoption is not the same as depth of adoption. We’re building a team of Technical Specialists to drive meaningful adoption breadth and depth in our most strategic customers. We’ll do this through delivery of high-quality technical engagement and enablement in the customer’s ~ 90 days before and after contract signature.
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
Drive deep adoption of proprietary Claude Code capabilities that make our tools sticky (subagents, hooks, MCP servers, headless mode, managed settings) tailored to the customer's stack, repos, and actual workflows (CI/CD, IDE integration, source control, secure coding, agentic pipelines)
Qualifications
Minimum
5–7+ years in a customer-facing technical role — Solutions Architecture, sales engineering, developer relations, or technical consulting.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Preferred
Pilot and evaluation experience. You've supported technical evaluations or pilots in an enterprise setting — scoping, enablement, handling the security/admin/scale conversations without escalating everything to product.
Strong written and visual communication. Tutorials, decks, code comments, and Slack threads that people actually read.
Project management instincts. You can run a multi-week activation plan — or a pilot against a defined success metric — without dropping the ball.
Willingness to travel. Regular travel for on-site enablement, pilots, hackathons, and customer events. Some evenings and weekends around major events.
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.