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Enterprise Account Executive, Digital Native Business

Anthropic

Enterprise Account Executive, Digital Native Business

Anthropic

Munich, Germany

·

On-site

·

Full-time

·

1mo ago

Compensation

€205,000 - €255,000

Benefits & Perks

Generous PTO

Sales training

Team trips

Stock options

Unlimited Pto

Equity

Required Skills

LinkedIn Sales Navigator

Salesforce

Zoom

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 an Enterprise Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with top enterprises, unlocking new value streams throughout their business. You’ll 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 capabilities. In collaboration with GTM, product, and marketing teams, you’ll 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 Anthropic's 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. You’ll 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 role’s 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 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 bu

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About Anthropic

Anthropic

Anthropic

Series F

An AI safety and research company that builds reliable, interpretable, and steerable AI systems.

1,001-5,000

Employees

San Francisco

Headquarters

$60B

Valuation

Reviews

4.5

20 reviews

Work Life Balance

3.0

Compensation

4.5

Culture

4.8

Career

4.2

Management

3.5

100%

Recommend to a Friend

Pros

Exceptional team quality and talent

Cutting-edge AI and technical work

Strong mission-driven culture

Cons

Long working hours

Opaque leadership and management

High learning curve and fast pace

Salary Ranges

31 data points

Senior/L5

Senior/L5 · Analytics Engineer

1 reports

$409,500

total / year

Base

$315,000

Stock

-

Bonus

-

$409,500

$409,500

Interview Experience

5 interviews

Difficulty

4.0

/ 5

Offer Rate

40%

Experience

Positive 40%

Neutral 40%

Negative 20%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Interview

5

System Design Round

6

Final Round/Onsite

7

Offer

Common Questions

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR

ML/AI Concepts