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A leading machine learning agency in Berlin seeks an Account Executive to define sales strategy and secure partnerships, focusing on AI/ML solutions. Candidates should have 3+ years of sales experience and an academic degree in business or a technical field. Proficiency in German is required, and the role offers a hybrid work model with competitive compensation.
Permanent employee, Full or part-time · Berlin
dida is a leading machine learning agency with contracts and projects across academia, the public sector, and industry. Our team, primarily composed of Machine Learning Scientists, contributes to developments and innovations in the field of Artificial Intelligence.
We believe that research-driven thinking can help solve real-world problems more efficiently. We are committed to the conscious development and integration of machine learning in all areas of society, aiming to define and shape the Machine Learning industry and its products. To achieve this, we are constantly seeking new partners and identifying companies that can benefit from our cutting‑edge knowledge and services.
Become a central and hands‑on Account Executive (AI/ML) at dida. You will be responsible for defining the sales strategy, executing the day‑to‑day work to drive growth, and actively shaping the future direction of the company.
Consultative Sales & Execution: Manage and directly drive some of dida's key sales channels, focusing on securing new partnerships and contracts. You will act as a strategic advisor to our clients, understanding their challenges and proposing tailored AI/ML solutions. You will own the full sales cycle from initial engagement to close.
Identify and Build New Verticals: Actively identify promising new industry sectors for dida's services and take the lead in building up those markets from scratch.
Sales Strategy Development: Propose and develop new ideas, processes, or sales approaches to increase our brand visibility and positively influence our partners’ and customers’ buying behavior.
Technical Integration & Enablement: Integrate our ML Scientists into our sales activities. You will translate their technical achievements and performances into high‑quality, persuasive solution proposals and sales measures.
Experience: You have at least three (3) years of proven experience in Sales or a related field (e.g., Account Management, Business Development). Experience in Sales related to technical products or IT services is a strong bonus.
Education: You have an academic degree in business, marketing, or a related field (or a technical degree, e.g., in physics, mathematics, or computer science).
Technical Aptitude: You possess a foundational understanding of machine learning. More detailed knowledge is a plus and very helpful, but not strictly necessary for selling complex services, as you will be supported by our ML Scientists and have the opportunity to grow your expertise.
Mindset: You are a hands‑on person who can take complete responsibility for your sales channels and push them forward mid to long term. You thrive on autonomy and impact.
Quality & Motivation: You have high‑quality expectations and a high motivation to deliver excellent results.
Location & Office: You live in Berlin or plan to move here and want to come to the office at least 2x per week to really become part of dida and our team.
Language: Communicating in German is easy for you (German is your mother tongue or you are at a similar level). At the same time, you can communicate fluently with colleagues and the team in English.
Become part of a highly qualified team and company that pushes, designs and implements innovative AI solutions for the public sector, academia and the industry:
We are in an exciting phase where you can actively shape the development of dida and machine learning in general. You will market highly innovative services and products, offering the opportunity to develop a professional career in a field of cutting‑edge technology.
Compensation and Benefits:
At dida, we stand for equal opportunities, regardless of gender, nationality, ethnic background or disability. We encourage everyone, especially women, people of color, and people with disabilities to apply at dida.