Manager, Applied AI Architect, Enterprise Tech (AI)

Location: San Francisco, California, or New York City, New York; hybrid attendance in an Anthropic office at least 25% of the time

Annual OTE: $315,000–$380,000 USD, including base salary and target sales commissions or bonuses.

Company

Anthropic is a public benefit corporation building reliable, interpretable, steerable, and safe AI systems.

What you will do

• Hire, manage, coach, and develop a team of pre-sales Solutions Architects.
• Set team goals and performance expectations in partnership with sales and other functions.
• Advise strategic enterprise customers on AI adoption strategies, use-case scoping, and proof-of-concept execution.
• Partner with Enterprise Tech sales leadership to increase adoption of Claude for Enterprise, Claude Code, and the API.
• Work with product and engineering teams to incorporate customer feedback and remove adoption blockers.
• Represent Anthropic at executive customer sessions, technical workshops, conferences, webinars, and technical content initiatives.

Requirements

• 7+ years of experience in Solutions Architecture, Sales Engineering, or a similar technical pre-sales role.
• 3+ years of experience managing technical pre-sales teams.
• Deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments.
• Familiarity with LLM architecture and operation, as well as emerging AI research and industry trends.
• Strong communication, collaboration, coaching, executive presence, and relationship-building skills.
• Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.

Nice to have

• 5+ years of enterprise pre-sales leadership at scale, including experience growing Solutions Architect teams from 10 to 50+ people.
• Experience managing senior individual contributors and developing junior talent in complex enterprise software sales environments.
• Hands-on experience with AI platforms and enterprise integration patterns, including C-level engagement in $10M+ technical evaluations and sales cycles.
• Experience adapting technical go-to-market approaches across commercial and Fortune 100 customer segments.

Culture & Benefits

• Collaborative work across research, engineering, policy, and business functions.
• Flexible working hours and a hybrid office environment.
• Generous vacation and parental leave.
• Competitive compensation, benefits, and optional equity donation matching.
• Opportunities to contribute to research discussions and the development of safe, beneficial AI.