At a Glance
- Tasks: Lead the EMEA Applied AI Solutions Architecture team and drive AI adoption in enterprise tech.
- Company: Join Anthropic, a mission-driven company focused on safe and beneficial AI systems.
- Benefits: Competitive salary, equity options, flexible hours, and generous leave policies.
- Why this job: Make a real impact in AI while collaborating with top talent in a dynamic environment.
- Qualifications: 7+ years in solutions architecture or similar roles, with strong technical and leadership skills.
- Other info: Diverse perspectives are valued; we encourage all candidates to apply.
The predicted salary is between 48000 - 72000 £ per year.
Manager of Solutions Architecture, Applied AI
London, UK
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 Solutions Architecture 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 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 EMEA Applied AI Solutions Architecture 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.
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.
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
- 3+ years of technical go-to-market management experience, specifically managing pre-sales teams
- 3+ years of product management experience
- Experience with Digital Native focused customers (Vertical Enterprise SaaS, Horizontal Enterprise SaaS, Consumer Technology Companies, PaaS, etc.)
- Experience with the unique technical requirements and procurement processes of enterprise tech companies
- Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
- Strong organizational mindset and ability to build foundational teams in a relatively unstructured environment
- Excellent communication, collaboration, and coaching abilities
- Comfort with uncertain, ambiguous, and fast-moving environments
- Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
- 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 make ambiguous problems clear and identify core principles transferable across scenarios
- Passion for making powerful technology safe and societally beneficial
- Creative thinking about risks and benefits of new technologies beyond past checklists
- Active interest in emerging research and industry trends
- Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.
Logistics
Education requirements: We require at least a Bachelor\\\’s degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices.
Visa sponsorship: We sponsor visas. 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.
We encourage you to apply even if you do not meet every single qualification. Not all strong candidates will meet every qualification as listed. We value diverse perspectives and strive to include a range of backgrounds on our team.
How we\\\’re different
We believe that the highest-impact AI research is big science. At Anthropic we work as a single cohesive team on a few large-scale research efforts and value impact — advancing our long-term goals of steerable, trustworthy AI — rather than focusing on smaller tasks. We are highly collaborative and value clear, effective communication.
Come work with us!
Anthropic is a public benefit corporation. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office environment.
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Manager of Solutions Architecture, Applied AI employer: Anthropic
Contact Detail:
Anthropic Recruiting Team
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We think this is how you could land Manager of Solutions Architecture, Applied AI
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
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Show off your skills! Create a portfolio or a personal website showcasing your projects and achievements. This gives potential employers a taste of what you can bring to the table.
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Prepare for interviews by practising common questions and scenarios related to the role. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
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We think you need these skills to ace Manager of Solutions Architecture, Applied AI
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Manager of Solutions Architecture role. Highlight your relevant experience in AI deployments and team management, showing us how you fit into our mission at Anthropic.
Showcase Your Technical Skills: We want to see your deep technical proficiency! Include specific examples of your work with enterprise AI systems, API integrations, and any successful projects that demonstrate your ability to drive positive AI transformation.
Communicate Clearly: Your communication skills are key! Use clear and concise language in your application to explain complex concepts. Remember, we value the ability to convey ideas to both technical and non-technical audiences.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at Anthropic.
How to prepare for a job interview at Anthropic
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially large language models and their applications. Be ready to discuss how you've successfully implemented AI solutions in previous roles, as this will show your technical proficiency and understanding of the field.
✨Showcase Your Leadership Skills
As a Manager of Solutions Architecture, you'll need to demonstrate your ability to lead and grow teams. Prepare examples of how you've coached team members to success and established best practices in past positions. This will highlight your leadership style and effectiveness.
✨Communicate Clearly
You’ll be explaining complex solutions to both technical and non-technical audiences, so practice articulating your thoughts clearly. Use simple language to explain intricate concepts, and prepare to answer questions that may arise during the discussion.
✨Be Ready for Ambiguity
The role involves navigating uncertain and fast-moving environments. Think of examples from your experience where you've thrived in ambiguity, showcasing your problem-solving skills and ability to make clear decisions under pressure.