Manager of Applied AI Architecture, Enterprise Tech (Cyber)

Responsibilities

• Manage and mentor a team of Applied AI Architects, Enterprise Tech (Cyber) providing both technical guidance and career development
• Set goals and reviews for your team, promoting growth and output
• Work with a handful of highest-value Enterprise Tech customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution
• Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for Enterprise Tech (Cyber) customers
• Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products
• Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes
• Travel occasionally to customer sites for executive-level sessions, technical workshops, and building relationships
• Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products
• Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities for tech-forward use cases
• Contribute to thought leadership through conference presentations, webinars, and technical content creation
• Stay current with emerging AI/ML trends and competitive landscape in the enterprise tech sector

Requirements

• 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
• 3+ years of technical go-to-market management experience, specifically managing pre-sales teams
• Experience working with and selling to Digital Native focused customers (Vertical Enterprise SaaS, Horizontal Enterprise SaaS, Consumer Technology Companies, PaaS, etc.)
• Experience with the unique technical requirements and technical procurement process of enterprise tech companies
• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
• Organizational mindset and enjoy building foundational teams in a relatively unstructured environment
• Excellent communication, collaboration, and coaching abilities
• Comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry
• Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
• At least a high level familiarity with the architecture and operation of large language models and/or ML in general
• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
• Make ambiguous problems clear and identify core principles that can translate across scenarios
• Passion for making powerful technology safe and societally beneficial
• Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
• Stay up-to-date and informed by taking an active interest in emerging research and industry trends
• Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies

Nice-to-Haves

• 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
• 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