Manager of Applied AI Architecture, Enterprise Tech (Cyber)
New York City, NY; San Francisco, CA | New York City, NY; Seattle, WA
Posted 16d ago
Job Location
New York City, NY; San Francisco, CA | New York City, NY; Seattle, WA
Tech Stack
Remote Work Policy
On-site
Categories
Applied AI Engineer
About the job
As the manager of the Applied AI Architect, Enterprise Tech (Cyber) team at Anthropic, you will drive the adoption of frontier AI across the cybersecurity industry. You will enable leading security companies to build Claude into their detection, response, and security operations products via Anthropic's API, Claude Code, and Claude for Enterprise. Leveraging your technical skills and consultative sales experience, you will help security vendors ship AI-powered capabilities that meet the industry's exacting standards for reliability, accuracy, and safety. You will be responsible for leading and growing the team, establishing processes and best practices for pre-sales engagements, and representing Anthropic as a technical lead on important partnerships. In collaboration with Sales, Product, and Engineering, you will help enterprise tech partners incorporate leading-edge AI systems into their products, using your communication skills to explain complex solutions to both technical and non-technical audiences. 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, providing technical guidance and career development.
- Set goals and conduct reviews for the team, promoting growth and output.
- Work with high-value Enterprise Tech customers on AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution.
- Partner with GTM leadership to understand customer requirements and co-build GTM strategies for Enterprise Tech (Cyber) customers.
- Own the technical portions of pre-sales engagements, ensuring compelling demos and validating customer ROI from Anthropic products.
- Drive cross-functional team collaboration to unify stakeholders and achieve business outcomes.
- Travel occasionally to customer sites for executive sessions, technical workshops, and relationship building.
- 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 leveraging the 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 the 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 procurement process of enterprise tech companies.
- Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases.
- Organizational mindset and enjoyment in building foundational teams in unstructured environments.
- Excellent communication, collaboration, and coaching abilities.
- Comfort dealing with highly uncertain, ambiguous, and fast-moving environments.
- Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams.
- 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.
- Ability to clarify ambiguous problems and identify core principles that translate across scenarios.
- Passion for making powerful technology safe and societally beneficial.
- Creative thinking about the risks and benefits of new technologies, moving beyond past checklists and playbooks.
- Active interest in emerging research and industry trends.
- Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies.
- 5+ years leading solution architect teams through hypergrowth (ideally 10→50+ people), with direct experience managing senior SAs and developing junior talent.
- Hands-on experience with AI/ML platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders.