Sales Associate, Data & AI

Responsibilities

• Prospecting & lead generation identification: Research target companies that are an ideal fit for us (e.g., upper mid-market companies with a modernization backlog or large enterprises focused on cloud migration).
• Finding decision‑makers: Identify the right personas (CIOs, Head of Data, CDO, IT managers) using tools such as LinkedIn Sales Navigator.
• Multichannel outbound & social selling: Actively build relationships through valuable content and targeted networking.
• Lead qualification & discovery: Determine whether the customer has a real problem (pain point), whether there is a budget, and what the current IT landscape looks like.
• CRM management & feedback loop: Maintain clean documentation of all activities in the CRM so Account Executives are perfectly prepared for the discovery call.

Requirements

• Sales experience: Initial experience in sales, business development or account management (ideally in a B2B environment or in SaaS/IT services).
• Basic technical understanding: You don’t have to be a data scientist, but you should understand terms like Cloud Computing, Data Lakehouse, Machine Learning and Generative AI.
• Language skills: Business‑fluent German (C2) for communication with the German Mittelstand and strong English skills for working in a tech environment.
• Tool stack: Confident use of CRM systems (e.g., Pipedrive, Salesforce, or HubSpot) and research tools like LinkedIn Sales Navigator.
• Educational background: A degree in Business Administration, Business Informatics, Marketing or equivalent training is an advantage, but not required if you have relevant experience.

ATS Optimization Keywords

• Hard Skills: sales experience, business development, account management, cloud computing, data lakehouse, machine learning, generative AI
• Soft Skills: relationship building, networking, lead qualification, discovery