Applied AI – Enterprise
Company | Anthropic |
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Location | Seattle, WA, USA, San Francisco, CA, USA, New York, NY, USA |
Salary | $240000 – $270000 |
Type | Full-Time |
Degrees | |
Experience Level | Senior |
Requirements
- 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
- Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
- Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
- Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
- Experience designing scalable cloud architectures and integrating with enterprise systems
- Comfortable with python
- Familiarity with common LLM frameworks and tools or a background in machine learning or data science
- Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders.
Responsibilities
- Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
- Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
- Support customers building with both the Claude API and Claude for Work
- Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
- Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
- Help customers develop evaluation frameworks to measure Claude’s performance for their specific use cases
- Identify common integration patterns and contribute insights back to our Product and Engineering teams
- Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
- Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns.
Preferred Qualifications
- Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
- A love of teaching, mentoring, and helping others succeed
- Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems.