Anthropic· Applied AI· New York City, NY; San Francisco, CA | New York City, NY; Seattle, WA
Manager of Applied AI Architecture, Enterprise Tech (Cyber)
Classified Tasks (19)
Automate 0%Augment 53%Human-Only 47%
Augment (10)
AI assists, human decides
Drive adoption of frontier AI by enabling deployment of Claude for Enterprise, Claude Code, and API across enterprise tech companies and digital-first organizations
operational
Establish processes and best practices for the segment's pre-sales engagements
operational
Collaborate with Sales, Product, and Engineering teams to incorporate Anthropic AI systems into partners' products and platforms
technical
Apply technical and consultative sales expertise to design AI solutions that meet customers' business needs, technical requirements, and safety/reliability standards
technical
Lead pre-sales technical activities including use case scoping, technical champion building, and proof-of-concept (POC) execution for high-value enterprise tech customers
technical
Own the technical portions of pre-sales engagements by delivering compelling demos and validating enterprise customer ROI from Anthropic products
technical
Identify opportunities to innovate and differentiate Anthropic's AI systems while maintaining safety standards
creative
Explain and demonstrate complex solutions persuasively to technical and non-technical audiences
communication
Contribute to thought leadership by presenting at conferences, running webinars, and creating technical content
communication
Monitor and stay current with emerging AI/ML trends and the competitive landscape in the enterprise tech sector
analytical
Human-Only (9)
Requires human judgment
Lead and grow the Applied AI Architect, Enterprise Tech (Cyber) team by providing technical guidance and career development
leadership
Set goals and conduct performance reviews for team members to promote growth and output
leadership
Coach and mentor team members to achieve high productivity and career growth
leadership
Represent Anthropic as the technical lead on strategic partnerships
communication
Partner with GTM leadership to understand customer requirements and co-build go-to-market strategies to drive adoption
leadership
Drive cross-functional collaboration to influence and align stakeholders at all organizational levels to achieve business outcomes
leadership
Travel to customer sites for executive-level sessions, technical workshops, and relationship building
communication
Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products
leadership
Lead the vision, strategy, and execution of innovative solutions that leverage latest model capabilities for tech-forward use cases
leadership
Job description
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 Applied AI Architect, Enterprise Tech (Cyber) team at Anthropic, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across Enterprise Tech companies and digital-first organizations. 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'll be responsible for leading & growing the Applied AI Architect, Enterprise Tech (Cyber) team, establish processes and best practices for your segment's pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships. In collaboration with the Sales, Product, and Engineering teams, you'll help enterprise tech partners incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. 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 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 go-to-market management experience, specifically managing pre-sales teams Have experience working with and selling to Digital Native focused customers (Vertical Enterprise SaaS, Horizontal Enterprise SaaS, Consumer Technology Companies, PaaS, etc.) Experience wit