You'll be responsible for leading and growing the DACH Applied AI Architect team, establishing processes and best practices for your segment's pre-sales engagements based on your depth of experience and knowledge of the market, 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 Sales, Product, and Engineering teams, you'll help large enterprise customers incorporate leading-edge AI systems into both internal business transformation initiatives and customer-facing products. You will also help build technical GTM plays for Anthropic’s products and define high-value industry solutions.

Responsibilities:

• Hire, manage and mentor a team of Applied AI Architects for DACH, 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 customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, architecture reviews, technical champion building, technical adoption workshops and POC execution
• Partner closely with your aligned GTM leadership to understand customer requirements and co-build GTM strategies to drive adoption across all industry verticals
• Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates customer ROI from Anthropic products
• Develop scalable technical engagement frameworks and reusable assets tailored for all non-tech sectors, including Financial Services & Insurance, Healthcare, Telco, Retail and others.
• Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes
• Travel 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
• Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities
• Contribute to thought leadership through conference presentations, webinars, and technical content creation
• Stay current with emerging AI/ML trends and competitive landscape across all major Industries verticals

You may be a good fit if you have:

• 7+ years of experience as an 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 large enterprise customers across multiple verticals
• Demonstrated ability to navigate and articulate complex technical, organisational and regulatory requirements of large enterprises, in particular in regulated industries (e.g FSI, Healthcare & Life Sciences)
• A proven knowledge of the DACH market and its local specificities (regulatory, cultural, technical…)
• Experience framing and delivering enterprise AI use cases (productivity, workflow transformation) and or scoping large enterprise adoption programs
• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
• Demonstrated ability to build scalable, repeatable processes and frameworks that work across diverse customer segments
• An organisational mindset and enjoy building foundational teams in a relatively unstructured environment
• 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 LLM and/or ML in general
• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
• Ability to make ambiguous problems clear and identify core principles that can translate across scenarios
• A passion for making powerful technology safe and societally beneficial
• Creative thinking about the risks and benefits of new technologies, beyond past checklists and playbooks
• A track record of staying current with emerging AI research and industry trends

Strong candidates may also have:

• 10+ years technical experience
• 5+ years managing AI technical teams in hypergrowth (ideally from 0 to 30+)
• Previous experience leading solutions architect or pre-sales teams through rapid growth
• Proven experience and understanding across all key non-tech industry verticals, in particular the regulated industries: Financial Services, Insurance, Healthcare, Life Sciences, Telco, Retail, Consumer Goods, Manufacturing, Oil & Gas, etc.
• In addition to English, native or fluency in a DACH language
• Demonstrated experience in defining and delivering enterprise AI use cases in regulated industries: e.g Banking, Insurance, Healthcare and Life sciences
• Track record building technical playbooks and assets that scale across diverse customer segments
• Understanding of both digital-native technical requirements (API integration, developer experience) and traditional enterprise needs (security, compliance, change management)
• Background at enterprise AI software or API-first companies serving large enterprise customers
• Proven experience building a DACH AI team

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

XML job scraping automation by YubHub

You will think strategically about the art of the possible for the user's business, and be able to clearly articulate that in a way that informs and builds confidence in Stripe's technology. You should be able to engage and motivate cross-functionally both internally and within our customer's organisations at all levels, from Cx to Product Engineering.

Responsibilities:

• Engage with Chief Technical Officers, engineering leads, and other technical leads at key users to share technology roadmaps, demonstrate the latest innovations, and define a solution strategy to solve problems
• Lead technical discussions and solution deep dives with users on the value Stripe can provide to them
• Serve as an advocate for your customers internally, to ensure their needs are represented with product engineering and to influence product direction and priorities
• Plan and participate in quarterly business reviews with your users, identify new opportunities and collaborate on detailed account planning with account teams
• Create technical content (reference architectures, demos, etc.) to share with users as well as speak as a thought leader at industry conferences

You are an experienced technologist with a blend of technical depth and strong business consulting skills. You can write code, but prefer to spend your time working with users to create Stripe solutions to support customer business objectives in complex, mission critical environments.

Minimum requirements:

• 4 years work experience or equivalent in any mixture of roles including pre-sales, technical architecture (application, technical, systems, integration), technical consulting, application delivery or technical engineering role, with at least 1 year in a customer-facing pre-sales role
• Possess strong technical knowledge in software architecture, have breadth across technology stacks with deep hands-on skills, and comfortable talking about technical concepts and explaining how they work, both from a product feature and API architecture perspective
• Ability to write code
• Experience with large enterprise customers
• Strong verbal and written communication abilities, including presenting to large audiences in both German and English

XML job scraping automation by YubHub