2 months ago
Base Salary
$270k - $310k/yr
Responsibilities
- Translate Claude Platform launches into demos, hands-on labs, quick-reference guides, and industry- and persona-specific scenarios.
- Deliver Claude Platform training for technical onboarding and ongoing enablement programs in small and large group settings.
- Coach technical sellers through practice sessions and office hours to improve demo delivery.
- Build self-service resources, experimental tools, demo environments, content-freshness automation, and self-service infrastructure.
- Stress-test platform features before launch and communicate field feedback to product and product marketing.
- Track content usage and session feedback to evaluate and retire enablement materials.
Requirements
- Experience in a customer-facing technical role such as solutions architecture, sales engineering, developer relations, or technical enablement.
- Experience writing production-quality code and building technical demos.
- Hands-on experience building with LLM APIs and agents, including tool use, MCP, or agent frameworks, beyond prompting alone.
- Experience using AI coding tools in daily engineering work.
- Experience delivering live technical training or talks to technical and non-technical audiences.
- Experience partnering directly with sales, solutions engineering, or other go-to-market teams.
- A portfolio of labs, courses, talks, or repositories built by the candidate is preferred.
- Experience with Claude Code or a comparable agentic coding tool is preferred.
- Experience building on the Claude Developer Platform through Amazon Bedrock, Google Vertex AI, or Microsoft Foundry is preferred.
- Experience as a technical founder, early startup employee, or 0-to-1 operator is preferred.
- Public speaking, conference presentation, or community-facing developer advocacy experience is preferred.
- Experience building enablement tooling such as demo environments, content-freshness automation, or self-service infrastructure is preferred.
- A bachelor’s degree or equivalent combination of education, training, and/or experience is required, with a relevant field of study demonstrated through coursework, training, or professional experience.
Benefits
- Hybrid policy requiring staff to work from an office at least 25% of the time, with some roles requiring more
- Visa sponsorship with immigration-lawyer support
- Competitive benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space
Categories
AI ApplicationsSolutions Engineering
About Anthropic
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.