Manager of Solutions Architecture, Applied AI (Startups)

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>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.</p></div><h2><strong>About the role:</strong></h2> <p>As the Manager of Applied AI EMEA 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 several Enterprise segments. 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.</p> <p>You'll be responsible for leading growing the EMEA Applied AI, Solutions Architect team. You will establish processes and best practices for the region's technical 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.</p> <p>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.</p> <h2><strong>Responsibilities:</strong></h2> <ul> <li>Manage and mentor a team of Applied AI, Solutions Architect providing both technical guidance and career development</li> <li>Set goals and reviews for your team, promoting growth and output</li> <li>Work with a handful of highest-value enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution</li> <li>Partner closely with your aligned GTM leadership to understand customer requirements co-build GTM strategies to drive adoption for Digital Native enterprise customers</li> <li>Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products</li> <li>Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes</li> <li>Travel occasionally to customer sites for executive-level sessions, technical workshops, and building relationships</li> <li>Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products</li> <li>Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities for tech-forward use cases</li> <li>Contribute to thought leadership through conference presentations, webinars, and technical content creation</li> <li>Stay current with emerging AI/ML trends and competitive landscape in the enterprise tech sector</li> </ul> <h2><strong>You may be a good fit if you have:</strong></h2> <ul> <li>7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role</li> <li>3+ years of technical go-to-market management experience, specifically managing pre-sales teams</li> <li>3+ years of product management experience</li> <li>Have experience working with and selling to Digital Native focused customers (Vertical Enterprise SaaS, Horizontal Enterprise SaaS, Consumer Technology Companies, PaaS, etc.)</li> <li>Experience with the unique technical requirements and technica ... (truncated, view full listing at source)