Manager Applied AI Architecture, Healthcare & Life Sciences

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

En corto

▸Liderar un equipo de arquitectos de soluciones pre-ventas en salud y ciencias de la vida.
▸Trabajar con clientes técnicos y ejecutivos para implementar IA avanzada con seguridad y beneficio social.
▸Destaca por liderar crecimiento rápido en un entorno dinámico con enfoque en IA confiable y escalable.

Fluent English required

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓7+ años como arquitecto de soluciones o rol técnico pre-ventas.
✓3+ años liderando equipos de pre-ventas técnicas.
✓Experiencia vendiendo productos técnicos complejos en salud y ciencias de la vida.
✓Proficiencia técnica en casos de uso de IA empresarial y APIs.
✓Capacidad para escalar equipos y procesos en entornos ambiguos y rápidos.
✓Presencia ejecutiva y habilidades de coaching y colaboración.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

Claude CodeCoworkClaude ScienceClaude Development PlatformAPILLMsenterprise AIAPI integrationsenterprise solution rolloutsconsumption business model

¿A quién escribirle en Anthropic?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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 manager of the Healthcare and Life Sciences Solutions Architect team within Applied AI at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. We work with customers that include companies across payers, providers, life sciences, medtech, and other healthcare verticals. 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 Code, Cowork, Claude Science, and the Claude Development Platform (our 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 that establish baseline expectations for performance in collaboration with sales and other cross-functional teams. • Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or top use case scoping and deployment. • Partner closely with sales leadership to identify new strategies to drive adoption of Anthropic products within specific verticals or horizontal 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 trends and the evolving ecosystem. 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 sold complex technical products to Healthcare and Life Sciences companies. • Have deep technical proficiency with enterprise AI use cases and API integrations or enterprise solution rollouts. • Understand how to contribute to running a GTM organization anchored on a consumption business model, not SaaS sales cycles. • 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. • 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 : • Enterprise pre-sales leadership at scale : 5+ years leading solution architect teams through hypergrowth (ideally 10 to 50+ people), with direct experience managing senior individ

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