What You'll Do
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)
- 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
- Design, scope, and run on-site and virtual hackathons inside customer organizations
- Bring the playbook: themes, judging rubrics, starter kits, prize structures, post-event follow-through that turns hackathon prototypes into shipped products
- Partner with Anthropic Marketing and Events to amplify the best work from customer hackathons externally where appropriate
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
Be the trusted technical voice in front of customers
- 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
- Partner closely with Sales, Applied AI, and Customer Success to sequence engagements that compound (pilot → activation → adoption → value)
- Bring back signal from the field: what enterprise developers are asking for, where they're getting stuck, what would unlock the next leap in adoption, and feed it to Product and Engineering
- Contribute to the playbook: capture what works in pilots and post-sale enablement, share with peers, raise the floor across the team
You may be a good fit if you have:
- 3–7+ years in a customer-facing technical role — Solutions Architecture, sales engineering, developer relations, or technical consulting.
- You build, and you build with our products. You use Claude Code, the Claude Developer Platform, and Cowork as core infrastructure in your own work. You 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.
- You can hold a room of engineers. You've delivered technical talks, workshops, or training to engineering audiences — platform engineers, ML/AI teams, security-minded enterprise architects — and you know the difference between a session that creates awareness and one that creates champions.
- Builder credibility. A career that includes meaningful time as a software engineer, founder, solutions engineer, developer advocate, or Solutions Architect. You've shipped code that other people have depended on.
- 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.
Annual Salary: $180,000—$365,000 USD (OTE for sales role)