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About the Role
Technical Architects help customers get real work done with Claude Code, Claude Tag, and enterprise admin controls. You'll teach customers, partners, and Anthropic's field teams, as well as train the trainers who carry that knowledge. You will work alongside customer engineering organizations, teaching them about Claude Code and shepherding rollouts with advanced admin knowledge. This role involves frequent audience interaction, preparing materials, and contributing to a rapidly growing team where early members will shape its future.
Responsibilities
- Teach in every format, including public webinars, workshops, multi-day onsites, office hours, and multi-week cohorts.
- Run train-the-trainer programs for customer technologists and champions.
- Educate enterprise admins on technical requirements for successful rollouts, including SSO, permissions, connectors, spend controls, and data-handling policy.
- Build and deliver polished decks, demo repositories, or plugins within a day using Claude.
- Provide feedback to Claude Code, Claude Tag, and Cowork teams on customer issues.
- Partner with account executives, customer success managers, Applied AI Architects, support engineers, and partner leads.
- Travel 30-50% of the time, in bursts around onsites, workshops, and events.
Requirements
- 5+ years as a software engineer, solutions architect, developer advocate, or similar role.
- Proven experience shipping code that others depend on and the ability to engage deeply with senior engineers across the stack.
- Daily use of Claude Code or similar agentic tools with informed opinions.
- Experience presenting to large live audiences and adapting to last-minute material changes.
- Ability to transition between casual conversation and rigorous technical discussions.
- Demonstrated care for customers and a commitment to leaving no one behind.
- Proactive initiative in building and sharing ideas.
- Steadiness in shifting priorities, tight timelines, and high-pressure situations.
- Comfort with ambiguity in a fast-moving industry and product suite.
- A strong interest in safe AI and helping organizations deploy it responsibly.
- A desire to work at the frontier of AI and help define its future.
Skills
- Technical teaching
- Customer enablement
- Enterprise identity and security review (SAML, OIDC, SCIM, SOC 2, HIPAA)
- Running Claude on Amazon Bedrock or Google Cloud Vertex AI
- Working with regulated industries or systems integrators
- Public technical speaking, course development, video creation, or writing
- Communication skills
- AI systems
- Software engineering
- Solutions architecture
- Developer advocacy
- Agentic tools
Location
- San Francisco
Work Type
- Hybrid
Experience Level
- 5+ years
Education Level
- Bachelor's degree or equivalent combination of education, training, and/or experience
- Relevant field of study
Salary/Compensations
- $250,000—$365,000 USD
Benefits
- Competitive compensation
- Benefits
- Optional equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours
- Lovely office space
About the Company
- Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.
- The team is a quickly growing group of researchers, engineers, policy experts, and business leaders.
- Anthropic believes that high-impact AI research is big science, focusing on a few large-scale research efforts.
- The company values impact and advancing long-term goals of steerable, trustworthy AI.
- AI research is viewed as an empirical science with connections to physics and biology.
- The company is extremely collaborative, hosting frequent research discussions.
- Recent research directions include GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
- Anthropic is a public benefit corporation headquartered in San Francisco.
Equal Opportunity
- We encourage you to apply even if you do not believe you meet every single qualification.
- Not all strong candidates will meet every single qualification.
- We urge candidates from underrepresented groups not to exclude themselves prematurely.
- We strive to include a range of diverse perspectives on our team.
- We think AI systems have enormous social and ethical implications, making representation even more important.