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Working Student Sales – Marketing, AI, Data Platforms
Ailio GmbHBusiness Development Representative for AI and Data Platforms at Ailio GmbH. Focused on lead generation and outbound marketing strategies in tech solutions.
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
sales experiencebusiness developmentaccount managementcloud computingdata lakehousemachine learninggenerative AIMicrosoft ecosystemMicrosoft FabricCRM systems
Soft Skills
communication skillsresiliencepersistenceinitiativestructureempathylisteningorganizational skillsability to explain complex topicswillingness to learn
Tools & Technologies
PipedriveSalesforceHubSpotLinkedIn Sales NavigatorDatabricksAzure
Industry Keywords
B2BSaaSIT servicesData & AI servicesmid-marketlarge companiesGerman Mittelstanddata architecturecold outreachpipeline management
Tech Stack
Tools & technologiesAzureCloud
About the role
Key responsibilities & impact- Pipeline building: You identify decision-makers (CIOs, Heads of Data/AI, CDOs) at mid-market and large companies.
- Outbound excellence: You use social selling (LinkedIn), email and phone to make first contact and generate interest in our Data & AI services.
- Discovery: You pre-qualify leads and determine whether the customer needs a centralized Data Lakehouse (Databricks) or a modern analytics platform (Microsoft Fabric).
- Scheduling: You arrange discovery calls for our Account Executives and ensure a seamless handover.
- Brand ambassador: You represent Ailio and our philosophy: Together. Simple. Get things done. Over time, you will transition into an Account Executive (AE) role.
Requirements
What you’ll need- Sales experience: Initial experience in sales, business development or account management (ideally in a B2B environment or in SaaS/IT services).
- Technical understanding: You do not need to be a data scientist, but you should understand what terms like cloud computing, data lakehouse, machine learning and generative AI mean. Knowledge of the Microsoft ecosystem (Azure) is a major plus.
- Language skills: Business-fluent German (C2) for communication with the German Mittelstand and very good English for working in a tech environment.
- Tool stack: Confident use of CRM systems (e.g., Pipedrive, Salesforce or HubSpot) as well as research tools like LinkedIn Sales Navigator.
- Academic background: A degree in business administration, business informatics, marketing or a comparable qualification is advantageous, but not required if you have relevant experience.
- Communication skills: The ability to explain complex tech topics (e.g., “modernizing data architecture”) in simple, benefit-oriented sentences.
- Resilience & persistence: High tolerance for rejection in cold outreach — you see a “no” as a step toward the next “yes”.
- Initiative & structure: You can organize yourself, prioritize leads and manage your pipeline in a disciplined way.
- Empathy & listening: You ask the right questions to identify the customer’s pain points (e.g., data silos or inefficient processes) instead of just following a script.
- Willingness to learn: The AI world changes daily. You enjoy continuously learning new technologies like Microsoft Fabric or Databricks.
Benefits
Comp & perks- Flexibility: Modern ways of working, flat hierarchies and a crew that supports each other.
- Learning curve: Direct collaboration with our CEO and deep insights into the most exciting tech stacks of the decade.
- Premium positioning: You don’t sell standard software but high-end consulting and innovative solutions.