Anthropic
Manager, Applied AI Architecture, Enterprise Tech
San Francisco, CA +1 · Manager · Full-time · Posted Oct 7, 2026
- Location
- San Francisco, CA
San Francisco, California, United States - Experience
- 7+ years in a pre-sales technical role and 3+ years in technical pre-sales management. Minimum years otherwise correlate with internal job level requirements.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; field relevant to the role.
- Visa sponsorship
- Visa sponsorship is available, but not guaranteed for every role or candidate; the company says it will make every reasonable effort to obtain a visa after an offer.
About the job
Leads and scales Anthropic’s pre-sales Solutions Architect team, helping enterprise technology customers adopt its AI products and use cases.
What you'll do
- Hire, manage, and coach Solutions Architects; set team goals and scalable processes.
- Advise strategic customers on AI adoption, use-case scoping, and proof-of-concept execution.
- Partner with sales, product, and engineering to drive adoption and address customer feedback or blockers.
What they ask for
- 7+ years in a Solutions Architect, Sales Engineer, or similar pre-sales technical role.
- 3+ years of technical pre-sales management experience.
- Deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments.
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field of study.
Nice to have
- 5+ years leading Solutions Architect teams through hypergrowth.
- Hands-on AI platform and enterprise integration experience, including C-level engagement in $10M+ technical evaluations and enterprise sales cycles.
Pay
$1 — $2 USD (OTE; includes base salary and target sales commissions/bonuses)
Tools
Claude for Enterprise, Claude Code, API, LLMs
AI focus
Supports customer adoption of frontier AI, including advising on AI strategy, use cases, and deployments with attention to reliability and safety.
Model-written summary · the original posting is authoritative