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United States Digital Space LLC in Munich is seeking an experienced Enterprise Account Executive to lead the full sales cycle for our AI productivity SaaS across the DACH region.
You will engage C-level and decision-makers, tailor value propositions, and collaborate with GTM, Product and Marketing to win strategic deals with major corporations and research institutions, driving revenue growth while promoting safe, ethical frontier AI in business.
the company’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 the company, 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 German market.
Munich, Germany (hybrid working available)
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:
€265.000—€310.000 EUR
LogisticsMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experienceRequired field of study:A field relevant to the role as demonstrated through coursework, training, or professional experienceMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the positionLocation-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 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.