Manager, Applied AI Architect, Enterprise Tech

Anthropic · San Francisco, CA | New York City, NYlead

In short

▸Líder técnico de un equipo de arquitectos de soluciones pre-ventas en IA avanzada.
▸Colaboras con empresas tecnológicas líderes para implementar IA segura y escalable usando productos de Anthropic como Claude y su API.
▸Destaca por liderar transformación tecnológica con enfoque en seguridad, interpretabilidad y impacto positivo en la sociedad.

Fluency in English is required for customer and internal collaboration.

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What they ask for

✓7+ años como arquitecto de soluciones o ingeniero de ventas técnico.
✓3+ años de experiencia gestionando equipos técnicos de pre-ventas.
✓Experiencia profunda con casos de uso empresariales de IA, APIs y despliegues de LLM.
✓Capacidad para construir y escalar equipos en entornos ambiguos y rápidos.
✓Excelentes habilidades de comunicación, colaboración y mentoría.
✓Presencia ejecutiva y capacidad para construir relaciones con líderes técnicos de grandes empresas.

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LLMsAPIsenterprise AIClaude for EnterpriseClaude CodeAI adoption strategiesPOC executiontechnical workshopscross-functional collaborationthought leadership

Who should you write to at Anthropic?

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: As the manager of the Solutions Architect team within Applied AI Enterprise Tech at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. Our Enterprise Tech customers are some of the world's most sophisticated technology companies, deploying AI at the core of their products and operations.. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety. You will be responsible for leading and growing the pre-sales team that partners with account executives to help those companies understand and deploy Anthropic’s products, including Claude for Enterprise, Claude Code, and the API. This will include leveraging your technical skills and consultative sales experience to hire great people, establish processes for the team to scale, and represent Anthropic directly at strategic customer engagements. Responsibilities: • Hire, manage, and guide a team of pre-sales Solutions Architects by providing both technical guidance and career development. • Set goals for your team in collaboration with sales and other parts of the organization that establish baseline expectations for performance. • Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or use case scoping and POC execution. • Partner closely with Enterprise Tech sales leadership to identify new strategies to drive adoption of Anthropic products across customer use cases. • Work with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption. • Travel to customer sites or conferences for executive-level sessions, technical workshops, and relationship building. • Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products. • Contribute to thought leadership through conference presentations, webinars, and technical content creation. • Stay current with emerging AI/ML trends and the competitive landscape. You may be a good fit if you: • 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role. • 3+ years of technical pre-sales management experience. • Have deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments. • Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments. • Have excellent communication, collaboration, and coaching abilities. • Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams at leading enterprise technology companies. • Have at least a high level familiarity with the architecture and operation of LLMs. • Have a passion for making powerful technology safe and societally beneficial. • Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI. Strong candidates may have:</strong

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