Enterprise Account Executive, Digital Native Business Munich

About Anthropic

Anthropics 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 an Enterprise Account Executive at Anthropic youll drive adoption of safe frontier AI by securing strategic deals with top enterprises unlocking new value streams throughout their business. Youll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers helping them embed and deploy AI while uncovering its full range of collaboration with GTM product and marketing teams youll continuously refine our value proposition sales methodology and market positioning to ensure differentiated value across the landscape.

The ideal candidate will have a passion for developing new market segments pinpointing high-potential opportunities and executing strategies to capture them. By driving deployment of Anthropics emerging products you will help enterprises obtain new capabilities while also advancing the ethical development of AI.

Responsibilities:

• Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers educate them about LLMs and help them succeed with Anthropic. Youll own the full sales cycle from first outbound to launch

• Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes trends and dynamics to translate high-level plans into targeted sales activities partnerships and campaigns

• Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge

• Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience

• Continuously refine the sales methodology by incorporating learnings into playbooks templates and best practices. Identify process improvements that optimize sales productivity and consistency

You may be a good fit if you have:

• 5 years of enterprise sales experience driving adoption of emerging technologies with a consultative solutions-oriented sales approach

• A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions

• Demonstrated ability to navigate dynamic stakeholder ecosystems building consensus and providing innovative solutions to disparate groups

• Extensive experience negotiating highly complex customized commercial agreements with multiple stakeholders

• Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process

• Excellent communication skills and the ability to present confidently and build connections across all customer levels from ICs to C-level executives

• A knack for bringing order to chaos and an enthusiastic roll up your sleeves mentality. You are a true team player

• A strategic analytical approach to assessing markets combined with creative tactical execution to capture opportunities

• A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely

The annual compensation range for this role is listed below.

For sales roles the range provided is the roles On Target Earnings (OTE) range meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

205.000 - 255.000 EUR

Logistics

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were 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. Were 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 aboutour policy for using AI in our application process.

Required Experience:

IC

Employment Type : Full Time
Experience: years
Vacancy: 1
Monthly Salary Salary: 205 - 255