Munich, Bavaria, Germany · Hybrid
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 co…
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Munich, Bavaria, Germany · On-site
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Munich, Bavaria, Germany · On-site
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Munich, Bavaria, Germany · On-site
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Munich, Bavaria, Germany · Hybrid
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Munich, Bavaria, Germany · On-site
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Munich, Bavaria, Germany · Hybrid
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Munich, Bavaria, Germany · Hybrid
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Munich, Bavaria, Germany · On-site
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Munich, Bavaria, Germany · Hybrid
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Munich, Bavaria, Germany · Hybrid
Become Junior Product Consultant (m/f/d) – Business Process Solution at Retarus. Retarus is a worldwide provider of cloud-based messaging solutions at enterprise scale. We serve over 40% of the companies listed on the S&…
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Munich, Bavaria, Germany · On-site
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Munich, Bavaria, Germany · Remote OK
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Munich, Bavaria, Germany · Remote OK
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Munich, Bavaria, Germany · On-site
The Software Build Reliability Engineering team is at the core of Apple's software development process. We are responsible for delivering the state-of-the-art operating systems, applications, and firmware to Apple custom…
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Munich, Bavaria, Germany · On-site
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Munich, Bavaria, Germany · Remote OK
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Munich, Bavaria, Germany · Hybrid
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Munich, Bavaria, Germany · Hybrid
Dein Einflussbereich Als Principal Cloud & Systems Architect (m/w/d) gestaltest Du mit uns zukunftsfähige Architekturen – von der strategischen Vision bis zur operativen Umsetzung. Dein Know-how sorgt dafür, dass unsere …
Skills: Cloud Architecture, AWS, Azure, Kubernetes, Docker
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Drive revenue growth and adoption of AI productivity solutions within the enterprise sector across the DACH region. Manage the full sales cycle from outbound prospecting to closing strategic deals with major corporations and institutions.
Requires 8+ years of B2B enterprise technology sales experience and native-level fluency in German and English. Must have a proven track record of managing complex sales cycles and navigating procurement processes within the DACH market.
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.
As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the DACH market.
Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close
Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns
Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications
Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices
Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the DACH enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers
Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency
Native German speaker with excellent written and verbal communication skills in German and English
8+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies
Specialised sales industries experience: Telco, Manufacturing, Retail, Energy and Utilities
A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases
Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments
Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies
Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process
Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives
Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the DACH market
A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities
A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use
Competitive base salary and commission structure
Equity participation in Anthropic's growth
Comprehensive benefits package
Opportunity to shape the AI industry in DACH and EMEA
Professional development and career growth opportunities
Location: Munich, Germany
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.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems.
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
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