Business Development Sales

vor 3 Monaten

Berlin, Deutschland dida Datenschmiede GmbH Vollzeit

**Your mission**:
Are you excited about reshaping the business landscape with the power of AI?
dida is one of the leading machine learning agencies with contracts and projects in academia, the public sector and the industry. Our team, consisting mostly of Machine Learning Scientists, contributes to developments and innovations in the field of Artificial Intelligence. Additionally, we have launched our first AI startup, smartextract, which is changing how companies handle business documents. We are seeking an enthusiastic and driven Business Development Working Student (w/m/d) to join our dynamic team at dida and support us in our mission.

**Your Role**:

- You will establish dida and smartextract as authorities in their respective industries by supporting us in our business development, technical sales and marketing activities,
- You will work closely with our head of marketing and sales regarding our machine learning services and the product owner of smartextract,
- You will support them in the creation and testing of new technical sales processes
- And with the evaluation, optimization and data-driven decision making, regarding our sales activities.
- And you will carry out market research and competitive analyses, for example by identifying touchpoints and important stakeholders through LinkedIn, within the pool of our potential partners and customers.

**Your Profile**:

- ** Student Status**: You are currently enrolled as a student in a technical or business-related field (business, economics, marketing, computer science, engineering, physics,...) with at least 12 months (preferably more) remaining in your academic program.
- ** Previous Experience**: While not mandatory, hands-on experience in business development, sales or marketing, for example with LinkedIn’s Sales Navigator are a plus, as well as having some knowledge of machine learning (conceptual knowledge suffices).
- ** Analytical Thinking**: You are an analytical thinker who can clearly structure and present ideas and concepts, both in the form of spreadsheets, graphically and in text form.
- ** Working Hours**: You can commit to 20 hours per week and reside in Berlin.
- ** Language Proficiency**: German and English are essential - communicating in German is easy for you (German at a level of B2 or higher).

**Why us?**:

- ** Become part of a highly qualified team** that designs and implements innovative Machine Learning solutions for a broad range of customers:

- Our solutions help people to spot errors in their rental contracts.
- We are able to automate the process of planning solar systems on roofs.
- Our team helps Deutsche Bahn, to detect anomalous objects on tracks.
- And we are an AI for Earth Award winner, for our solution to detect illegal mines from satellite images of the rainforest.
- ** Dive into Machine Learning**: So enter the exciting world of Machine Learning and explore its potential with us.
- ** Professional Growth**: Embrace the opportunity for rapid professional growth in a young company, where you can assume significant responsibilities.
- ** Ownership**: Shape the development of dida and smartextract as an active contributor, taking on meaningful responsibilities and making a real impact.
- ** Vibrant Culture**: Join our open, diverse, and international team, characterized by a positive and optimistic spirit.
- ** Flexible Work Hours**: Enjoy the flexibility of hybrid working hours, including remote work options, respecting your university workload.
- ** Convenient Location**: Our office is conveniently situated in Berlin Schöneberg (U-Bahn Kleistpark), providing excellent access to public transportation and many other perks of a city office.

**About us**:
dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing. Our team tackles applied problems for different customers by using latest scientific advancements (especially in deep learning) and therefore believes that research oriented thinking can help solving real-world problems more efficiently.

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