# Manager of Applied AI Architecture, Enterprise Tech (Cyber) **Company**: Anthropic **Location**: New York City, NY; San Francisco, CA | New York City, NY; Seattle, WA **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Salary**: $270,000-$345,000 USD **Category**: Engineering **Industry**: Technology **Wikidata**: https://www.wikidata.org/wiki/Q116758847 **Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5197538008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_e2504514-4bc ## Description 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 across Enterprise Tech companies and digital-first organisations. 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, establishing processes and best practices for your segment's pre-sales engagements based on your years of experience, helping each team member achieve success, high productivity, and career growth, and representing 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 organisation 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: Have 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role Have 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.) Have experience with the unique technical requirements and technical procurement process of enterprise tech companies Have deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases Have an organisational mindset and enjoy building foundational teams in a relatively unstructured environment Have excellent communication, collaboration, and coaching abilities Are 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 Have 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 Have a 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 Strong candidates may have: 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 ## Skills ### Required - Solutions Architect - Sales Engineer - Pre-sales technical role - Technical go-to-market management - Digital Native focused customers - Enterprise AI deployments - API integrations - Production LLM use cases - Large language models - ML in general - Prompt engineering - LLM evaluation - Architecting AI-powered systems --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5197538008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)