Manager of Applied AI Architecture (Enterprise Tech - Cyber)

Join Anthropic, a leading AI safety and research company, as the Manager of Applied AI Architecture (Enterprise Tech - Cyber). In this role, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products across Enterprise Tech companies and digital-first organizations. You will lead and grow the Applied AI Architect team, establish processes and best practices for pre-sales engagements, and represent Anthropic as a technical lead on important partnerships. You will also collaborate with sales, product, and engineering teams to help enterprise tech partners incorporate leading-edge AI systems into their products and platforms.

• Driving the adoption of frontier AI by enabling the deployment of Anthropic's products across Enterprise Tech companies.
• Leading and growing the Applied AI Architect team, establishing processes and best practices for pre-sales engagements.
• Collaborating with Sales, Product, and Engineering teams to help enterprise tech partners incorporate leading-edge AI systems into their products.
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Have excellent communication, collaboration, and coaching abilities
• Make ambiguous problems clear and identify core principles that can translate across scenarios
• 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
• Stay up-to-date and informed by taking an active interest in emerging research and industry trends
• Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
• Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
• Have experience working with and selling to Digital Native focused customers (Vertical Enterprise SaaS, Horizontal Enterprise SaaS, Consumer Technology Companies, PaaS, etc.)
• Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies
• Experience with the unique technical requirements and technical procurement process of enterprise tech companies
• 3+ years of technical go-to-market management experience, specifically managing pre-sales teams
• Have a passion for making powerful technology safe and societally beneficial
• Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry
• Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment
• Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general
• Enterprise SA Leadership at Scale: 5+ years leading solution architect teams through hypergrowth (ideally 10→50+ people), with direct experience managing both senior SAs and developing junior talent in complex enterprise software environments
• We encourage you to apply even if you do not believe you meet every single qualification
• AI/ML Technical Depth + Executive Engagement: Hands-on experience with AI/ML platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in $10M+ technical evaluations and enterprise sales cycles
• Multi-Segment GTM Experience: Demonstrated success adapting technical approaches across customer segments (startup to Fortune 500), with experience spanning the full deal spectrum from $2M employee empowerment through $100M+ core business transformation initiatives