Role Description For one of our partner companies, we are looking for a tech-savvy person who enjoys building practical AI solutions with Claude and other modern tools. In this role, you will turn business ideas into working digital solutions, focusing on building small but effective tools that help: - Process structured data - Check information - Improve workflows - Support internal decision-making You will work closely with a small professional team that knows the business processes very well. Your job is to understand what they want to achieve and then build smart, reliable, and easy-to-use solutions with the help of Claude and other suitable technologies. Your tasks will include: - Developing AI-supported tools and workflows based on real business needs - Using Claude to build, improve, and test practical automation solutions - Working with structured data from forms, documents, tables, or internal systems - Creating prototypes - Connecting tools, APIs, or databases where useful - Helping to transform manual processes into more efficient digital workflows Qualifications - Experience in programming, automation, or building digital tools - Good understanding of Claude, AI-assisted coding, and prompt-based development - Ability to work independently and find pragmatic solutions - Basic knowledge of APIs, data structures, and databases - Experience with Python, JavaScript, or similar technologies is a strong plus - Interest in business processes, data quality, and workflow optimization - Careful and reliable working style, especially when dealing with sensitive information - Good English skills are required - German skills would be a nice plus, but they are not a must Benefits - A fully remote position based in Greece - The opportunity to work on meaningful AI and automation projects - A practical environment where your solutions will actually be used - Close collaboration with experienced professionals - Flexible setup depending on your experience and availability - A friendly and supportive team at GRÜN smiles - A work environment where curiosity, practical thinking, and reliability matter more than formal titles

Role Description We are seeking an innovative and skilled AI Developer to design, build, and deploy artificial intelligence and machine learning solutions. This role requires a strong foundational expertise in AI development with the capacity to take on high-level technical challenges and guide project architecture. You will be instrumental in bridging the gap between raw data and intelligent, automated product features, working closely with our engineering and product teams to bring AI concepts into production. - Model Development: Design, train, and implement machine learning models and AI algorithms tailored to specific business needs. - Data Engineering: Assist in building and optimizing data pipelines, ensuring that data gathering, cleaning, and preprocessing are handled efficiently. - API Integration: Integrate both custom-built models and third-party AI APIs (such as Large Language Models) into existing software applications. - Deployment & Scaling: Deploy AI models into production environments, ensuring they are scalable, efficient, and reliable. - Testing & Optimization: Continuously monitor model performance, fine-tuning and retraining as necessary to maintain high accuracy and reduce bias. Qualifications - Experience: 3–5+ years of professional experience in software engineering, with a strong, proven focus on Artificial Intelligence and Machine Learning. - Programming Languages: Familiarity with other languages like Python, C++, Java, or JavaScript is a plus. - AI/ML Frameworks: Experience with industry-standard machine learning libraries and frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, Keras). - Cloud & MLOps: Familiarity with deploying models on cloud platforms (AWS, Google Cloud, or Azure) and understanding of MLOps best practices. - Analytical Skills: Strong foundation in mathematics, statistics, and complex algorithms. - Autonomy: Highly self-motivated with the ability to take a project from conceptualization to deployment, comfortably bridging mid-level execution and senior-level architectural decisions. Requirements - Employment Type: Full Time - Location: Remote - Working Hours: US Business Hours Benefits - Performance-based raises - Minimum 5 days of time off annually - Annual cost-of-living-adjustments at one-year anniversary

• Du unterstützt bei der Entwicklung produktiver AI-Use-Cases – von der Idee über den Prototypen bis zur Produktivsetzung. • Du entwickelst, testest und dokumentierst Prompts, Workflows und Automatisierungen mit modernen AI-Tools. • Du unterstützt bei der Entwicklung und Durchführung von Schulungen, Workshops und Trainings rund um AI. • Du erstellst praxisnahe Lernmaterialien, Prompt-Sammlungen und Use-Case-Bibliotheken. • Du hilfst dabei, den Erfolg unserer Use Cases anhand relevanter Kennzahlen messbar zu machen.

Role Description The Global Consolidated Customer Data & AI Lead is a strategic leadership role with a dual mandate: globally, shaping consolidated customer data as a critical enterprise asset, and locally, translating Data & AI strategy into scalable business impact across multiple priority markets, with the U.S. and Canada as core markets. This role is central to building a more connected, trusted, and insight-led commercial engine. The successful candidate will turn harmonized customer data from various sources into competitive advantage by enabling: - Analytics - AI - Omnichannel engagement - Customer segmentation - Decision-making at global scale By combining global domain ownership with multi-market execution, this role bridges strategy and delivery. It ensures that enterprise standards, data products, and governance frameworks are shaped by real market needs. As AI becomes a core operating layer for commercial decision-making, customer data is evolving into continuous commercial intelligence. This role will help shape that future by: - Strengthening data foundations - Improving governance - Resolving duplication - Enabling intelligent systems for faster insight generation - More personalized engagement - Better investment decisions - Scalable growth across markets, channels, and customer types Qualifications - Master’s degree in Business, Economics, Data Science, Information Management, or a related field, or a bachelor’s degree with equivalent experience. - Proven experience as a Business Data Domain Owner with end-to-end accountability for domain strategy, governance, quality, priorities, and business alignment, ideally in customer or account data. - Deep knowledge of customer data ecosystems, master data, retailer hierarchies, distributor records, identity resolution, matching and deduplication, and third-party enrichment sources. - Strong knowledge of data governance frameworks, master data management principles, and golden record logic. - Track record of enabling analytics and AI use cases through high-quality, well-structured, and compliant customer data. - AI-native mindset with strong curiosity, hands-on AI literacy and tool use. - Experience partnering with IT to integrate customer data into enterprise platforms. - Demonstrated success leading customer data consolidation or harmonization initiatives. - Proven experience working with IT teams on data strategy, governance, architecture, and compliance. - Strong knowledge of GDPR, US state privacy laws, and third-party data usage rights. - Experience with the Focus markets US and Canada commercial data landscape. - Strong leadership, communication, and stakeholder management skills. - Fluent English required; additional languages such as French or Spanish are an advantage. Requirements - Co-shaping in defining and executing the multiple markets with focus on US and Canada Data & AI strategy. - Translate global data domain strategies into effective execution in Focus markets US and Canada. - Support NA data governance, management, and quality for customer and procured data assets. - Collaborate with cross-functional stakeholders to translate data needs into actionable insights. - Work closely with IT to enable scalable, secure, and accessible data platforms. - Integrate process design, information architecture, data architecture, and user experience considerations. - Support cross-functional teams in Focus markets US and Canada by promoting a data-as-an-asset mindset. - Manage day-to-day Focus markets US and Canada data priorities. Benefits - Salary between $144160-216240. - Additional compensation may include a bonus or commission. - Health care, vision, dental, retirement, PTO, sick leave, etc.