As an Applied AI team member at Anthropic, you will act as a trusted technical advisor helping large enterprises understand Claude’s value and integration pathways. You’ll design and articulate scalable LLM solutions that meet business needs while upholding high safety and reliability standards. You will collaborate with Sales, Product, and Engineering to guide customers from discovery to deployment, developing evals and architectures that maximize AI value. This role combines deep technical expertise with customer-facing communication to influence enterprise adoption of Claude.
Pay / Benefits
competitive compensation and benefits
optional equity donation matching
generous vacation and parental leave
flexible working hours
hybrid working policy
office space for collaboration
Responsibilities
Partner with account executives to translate customer needs into technical solutions aligning business and technical goals
Serve as primary technical advisor through Claude adoption—from discovery to deployment
Coordinate with multiple internal teams to drive customer success
Support customers building with the Claude API and Claude for Work
Create and deliver technical content tailored to audiences from engineers to executives
Guide architectural decisions and integrate Claude into existing tech stacks
Help customers develop evaluation frameworks to measure Claude’s performance
Identify common integration patterns and relay insights to Product/Engineering
Travel to customer sites for workshops and technical deep dives
Maintain up-to-date knowledge of LLM developments and implementation patterns
Key requirements
5+ years in technical customer-facing roles (e.g., Solutions Architect, Sales Engineer, Technical Account Manager)
Native or C1 German and fluent English
Experience with enterprise customers and complex buying cycles
Strong ability to communicate technical concepts to diverse stakeholders including C-suite
Experience designing scalable cloud architectures and enterprise system integration
Comfortable with Python
Familiarity with common LLM frameworks and ML/data science background
Excitement for cross-organizational collaboration and balancing competing priorities
Love of teaching and helping others succeed
Excellent communication and interpersonal skills to explain complex topics clearly
strong communication
relationship building with diverse stakeholders
ability to translate technical concepts for business audiences
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