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.

As a Strategic Account Executive at Anthropic, you'll expand and deepen partnerships with our most innovative AI-native customers in EMEA, working directly with founding teams to accelerate AI adoption and unlock new use cases. Leveraging your consultative sales expertise, you'll drive strategic commercial discussions and foster strong engagement between these pioneering companies and Anthropic's executive team.

The ideal candidate will have a passion for discovering innovative AI use cases, identifying expansion opportunities within strategic accounts, and executing plans to realize them. By partnering deeply with our most strategic customers, you will help them shape the future of AI while ensuring responsible development and deployment of these emerging capabilities.

Responsibilities:

Own and deepen relationships with founder/CEO-level executives at the fastest-growing AI companies, serving as their primary strategic partner for AI infrastructure decisions
Lead complex, high-stakes commercial negotiations spanning multiple stakeholders, including founders, operators, and venture capital firms
Drive strategic alignment between customer roadmaps and Anthropic's product vision, advocating for customer needs at the highest levels of our organization
Partner closely with technical counterparts to ensure seamless execution and customer success
Identify emerging market trends and opportunities based on deep understanding of how leading AI companies are building and scaling
Develop and execute account strategies that support customers through various growth stages, from early startup to category leader
Navigate complex organizational dynamics while maintaining strong relationships across both customer and internal stakeholders

Must Have Qualifications:

10-15 years of experience in strategic sales or account management, with proven success managing high-complexity, strategic customer relationships
Track record of leading and closing sophisticated commercial deals with multiple stakeholders
Experience working directly with founders and C-level executives at high-growth technology companies
Strong business acumen and ability to understand technical concepts sufficiently to engage in strategic discussions about AI implementation
Proven ability to influence product direction and strategy based on customer needs
Excellence in stakeholder management across multiple levels, from technical teams to C-suite
Outstanding communication and presentation skills, with ability to articulate complex value propositions to various audiences

Preferred Qualifications:

Experience working with venture capital firms or understanding of the venture ecosystem
Background in consumption-based/usage-based pricing models
Experience supporting customers through hyper growth phases
Understanding of the AI/ML landscape and key trends
Track record of helping define commercial frameworks for emerging technology markets

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.

Annual Salary:

€205.000—€255.000 EUR

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. 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.

How we're different

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.

Come work with us!

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

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