A company is looking for experienced project managers and account managers who can execute international campaigns on a hands-on basis. The role requires close collaboration with various markets and stakeholders to ensure campaigns are carried out effectively and on schedule. The position is ideal for candidates with extensive agency experience, especially in running traditional campaigns. Experience at well-known agencies like Media Monks or similar is a plus. Main responsibilities: - Planning, execution, and monitoring of international campaigns - Close collaboration with international markets and stakeholders - Ensuring adherence to timelines and budgets - Coordination of teams and resources - Reporting and analysis of campaign results

- Responsibility for coordinating and managing the entire production process of magazine publications - Planning and monitoring issue structure, deadlines, advertisements, and workflows - Close collaboration with editorial team, publishing management, marketing, sales, printers, technical, and service providers - Quality assurance of layouts, texts, and print approvals - Cost estimation and organization of additional products (e.g., inserts, posters, supplements) - Active role in strategic projects, conferences, and in launching new formats

- A company in the energy and energy services sector is looking for an experienced IT project manager for a ServiceNow project. - The project aims to lead and successfully implement an enterprise ServiceNow project focused on ITSM and Customer Service Management (CSM). - The role includes planning, controlling, and ensuring a stable project flow in close collaboration with internal and external stakeholders. - Operational & strategic service management of the ServiceNow platform - Process ownership for ITSM and CSM (B2B & B2C) - Process design, governance & continuous optimization - Management of external providers and vendors - Monitoring, KPI analysis & deriving improvements - Ensuring stable platform operations

An established company is looking for an experienced ERP Transformation Manager to take full responsibility for planning and steering a comprehensive ERP transformation program. The project's goal is harmonizing processes, implementing a new ERP system, and meeting IFRS requirements. The ERP Transformation Manager will analyze, redesign, and standardize the commercial core processes in civil and rail construction. This includes translating IFRS requirements into system structures and posting logic, closely coordinating with Finance, Controlling, Project Management, and IT departments. The role includes managing the ERP rollout, including fit-gap analysis, process design, test management, and migration. In addition, a unified reporting and KPI framework for group financial statements and project management will be established. The manager will act as the central interface between operational units, Finance, management, and the group, and will set up a sustainable change and training concept for users. - Planning and steering the ERP transformation program (IFRS transition, process harmonization, ERP rollout) - Analyzing, redesigning, and standardizing commercial core processes - Translating IFRS requirements into system structures and posting logic - Managing the ERP rollout, including fit-gap analysis, process design, test management, and migration - Building a unified reporting and KPI framework - Stakeholder management and ensuring smooth communication - Leading interdisciplinary project teams and managing external consultants and implementation partners - Establishing a sustainable change and training concept - Ensuring measurable process improvements after the ERP system goes live

For our client company in the financial services sector, we are looking for a Partner Sales Manager (m/f/d). The client has commissioned us to steer a cross-departmental sales project to acquire new software distribution partners. The focus is on developing a partner sales strategy and integrating it into existing financial services solutions. Tasks: - Steering the cross-departmental sales project to acquire new distribution partners in integrated software solutions (ISV – Independent Software Vendor) - Supporting the acquisition of these strategically important partners - Developing a comprehensive software partner sales strategy and defining relevant KPIs - Managing the integrated sales together with the client's financial services solutions - Supporting the design and implementation of the software partner sales strategy - Collaborating in the development and implementation of new processes and shaping the organization

- Independently marketing our brand portfolio through innovative licensing, branding, and lifestyle collaborations to create unique brand experiences - Responsible for defined sectors within the sales team, including strategic development, identifying and approaching target clients, and ongoing market and trend analyses - Building new partnerships by acquiring new license partners and managing and developing existing licensees - Planning, managing, and controlling the budget for the responsible sectors with a strategic focus - Participating in relevant industry trade shows to capture trends and acquire potential partners - Customizing marketing materials and proposals to tailor them to individual client needs - Acting as interface & primary contact for external sales partners, including evaluating and aligning sales potentials - Promoting effective collaboration between Sales and Brand Management - Maintaining and using the CRM system and potential overview reports

We are seeking an analytical and technically-minded professional to: - Evaluate AI outputs and processes - Ensure quality, accuracy, and reliability - Identify logical errors, risks, and structural inconsistencies - Provide actionable insights and recommendations to the team Ideal candidates: - Consultants, auditors, analysts, data researchers, or business/technical analysts with strong reasoning skills - Professionals curious about AI, process improvement, and quality evaluation - Problem-solvers who enjoy analyzing complex systems, logic, and scenarios Key Responsibilities: - Lead evaluation of AI outputs and related processes - Review tasks against expected/ideal scenarios; identify gaps and risks - Provide structured, actionable recommendations to engineers, domain experts, and managers - Maintain and improve evaluation guidelines, checklists, SOPs - Suggest new approaches, tools, and processes to enhance AI evaluation

- You are the main point of contact for our business clients, support them by phone, and advise them on their individual needs. - With negotiation skills, you secure strong deals and ensure our products reach our B2B customers in the best way. - From creating quotes to invoicing, you keep track of everything and drive your sales figures forward. - You seize opportunities, follow up on your deals consistently, and achieve measurable results. - Through smart acquisition and strategic networking, you continuously expand your client portfolio and strengthen long-term relationships.

An AI Lab is seeking professionals experienced in working with tests to join their innovative team as English AI Trainers. The role involves crafting and editing texts, as well as evaluating AI-generated replies to ensure quality and accuracy. This position is ideal for individuals with expertise in writing, editing, and analyzing content, particularly in the context of AI and language models. As part of a cutting-edge AI lab, you will contribute to the development and refinement of advanced AI systems. This is a remote part-time role that can be flexibly tailored to your availability – from just a few hours per week to full-time. Key responsibilities: - Craft and edit high-quality texts tailored to specific requirements. - Evaluate and analyze AI-generated replies for accuracy, relevance, and quality. - Collaborate with teams to improve AI language models and content generation processes. - Provide feedback and suggestions to enhance AI performance. - Conduct research to ensure content aligns with industry standards and user expectations.

A company is looking for an ethical AI expert to conduct an online workshop for works council employees in German. The goal of the workshop is to inform participants about the ethical aspects of AI, including topics such as bias, transparency and the EU AI Act. The expert will take on the role of shaping and presenting the workshop content to give participants a solid understanding of the ethical challenges and regulatory requirements in the field of AI. - Design and deliver an online workshop in German - Teach about ethical aspects of AI (bias, transparency, EU AI Act) - Adapt content to the needs of works council employees - Answer questions and discuss practical examples

We are looking for an Freelance Agent Evaluation Analyst to take ownership of quality, structure, and insight across the project. This role goes far beyond task-checking - it’s about critical thinking, systems-level analysis, and ensuring clarity, reliability, and consistency at scale. You’ll work as both a hands-on evaluator and an analyst, collaborating with domain experts, delivery managers, and engineers. Beyond reviewing outputs, you’ll be expected to understand the “why” behind the work, identify logical gaps or inconsistencies, and propose meaningful improvements. This is a flexible, impact-driven role where you’ll have space to grow, contribute ideas, and help shape how evaluation and quality are scaled across the project. This role is especially well-suited for: Analysts, researchers, or consultants with strong structuring and reasoning skills Junior product managers or strategists curious about AI and evaluation work Smart problem-solvers (students or early-career professionals) who enjoy digging into logic, systems, and edge cases You do not need a coding background. What matters most is curiosity, intellectual rigor, and the ability to evaluate complex setups with precision. What you’ll be doing - Fully own the QA pipeline for agent evaluation tasks; - Review and validate tasks and golden paths created by scenario writers and experts; - Spot logical inconsistencies, vague requirements, hidden risks, and unrealistic assumptions; - Provide structured feedback and ensure quality alignment across contributors; Train, onboard, and mentor new QA team members; - Collaborate with domain experts, delivery managers, and engineers to improve test clarity and coverage; - Maintain and improve QA checklists, SOPs, and review guidelines; - Contribute to test planning, prioritization, and quality benchmarks; - Take initiative to suggest new approaches, tools, and processes that help scale validation and analysis.

For an AI lab we are looking for Mechanical Engineer with python experience to train an AI model (Large Language Model - LLM). GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: - Content Creation & Refinement: Create and refine content to ensure accuracy and relevance across a variety of topics in Mechanical Engineering, while also developing references and examples of tasks. - Experts Acquisition: Assess the qualification tests of experts, ensuring their competency. - Chat Moderation: Provide support by addressing project-related questions from other experts in Discord chats, especially those related to project guidelines. - Auditing Work: Review and evaluate tasks completed by other experts, ensuring they align with project guidelines. Provide constructive feedback, verify expertise-related information, and edit content as necessary to improve quality.

To strengthen data-driven cross & upsell as well as retention campaigns, Customer Interaction runs a platform where campaign processes including a profiler are developed, orchestrated, and monitored. We are looking for support in the following areas: Analysis & Consulting - Functional and technical analysis of existing campaign processes - Advising on data flows, selections, and profiling strategies Development in PL/SQL - Implementing and optimizing data selection, transformation, and aggregation pipelines in Oracle PL/SQL - Mapping predefined business logic for customer segmentation Testing & Quality Assurance - Planning and executing unit, integration, and regression tests - Documenting test cases and results Operations & Monitoring - Monitoring running jobs and workflows (performance, error handling) - Tuning SQL queries and batch processes Communication Outputs - Connecting and supplying channels for email, SMS, outbound calls, and mail - Implementing data-driven personalization and targeting

We are seeking experienced data scientists to create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis and actionable business insights. What You'll Do - Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare) - Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn) - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks) - Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction - Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility - Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency - Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations) - Incorporate big data processing scenarios requiring scalable computational approaches - Verify solutions using Python with standard data science libraries and statistical methods - Document problem statements clearly with realistic business contexts and provide verified correct answers

The Digital Analytics department uses Adobe Experience Cloud to deliver personalized user experiences. The goal is to increase conversion rates and improve customer experience through targeted personalization and testing. The technical implementation is handled independently by specialized consultants. - A core part of the tasks includes maintaining the existing implementation within the Adobe Experience Platform. This particularly involves monitoring the data and troubleshooting source connectors. - As part of preparing new features for use in the Adobe Experience Platform, requirements and data are first translated into Adobe’s Experience Data Model. This includes creating entity-relationship diagrams (ERDs) and contextualizing the relevant data. - Based on that, the corresponding schemas are created within the platform and datasets are prepared for further use. - Further activities include designing and setting up both new activation channels and additional data sources. - In addition, new business-relevant use cases are developed across the various phases of the customer journey to specifically increase business value. - Creating segments and performing error analyses using targeted SQL queries. - Consulting on all newly introduced processing activities, covering compliance with applicable data protection regulations, the required internal approval processes, as well as documenting legal and technical specifics.

The development and quality assurance of the data layer includes its complete provisioning through the respective web application. The data layer forms the central data foundation for analyzing user behavior and for personalized content during the website visit. To increase reliability and stability, automated tests should be used to significantly reduce manual regression tests. For this task, a Test Automation Engineer with a focus on Playwright (Elastic) is needed. - Development and implementation of automated end-to-end tests with the npm package @elastic/synthetics (Playwright) for data layer tests. - Analysis of existing test processes, identification and prioritization of automation potentials. - Creation, maintenance, and optimization of test scripts considering current best practices. - Integration of automated tests into existing CI/CD pipelines (e.g., Jenkins, GitHub Actions) to enable continuous test automation. - Documentation of test cases, test results, and test coverage in tools like Jira and Confluence. - Advising stakeholders on the selection and introduction of appropriate test strategies, test tools, and frameworks. - Conducting code reviews for test automation scripts to improve quality and maintainability. - Preparing decision templates and recommendations for action to further develop test automation. - Providing advice on error analysis and resolution within test automation. - Consulting on setting up reports and alerting with Elastic Observability. - Promoting traceability and reproducibility of test results.

The Digital Analytics department uses the Adobe Experience Cloud to implement personalized user experiences. The goal is to increase conversion rates and improve the customer experience through targeted personalization and testing. The technical implementation is carried out independently by specialized consultants. - Design and technical implementation of personalized user experiences with Adobe Target - Implementation of A/B and multivariate tests, including quality assurance in live environments - Integration of Adobe Target into complex system landscapes, including Adobe Experience Platform and Adobe Experience Manager - Development of targeting logic based on segments, real-time data, and user behavior - Advice on new features and best practices within the Adobe Experience Cloud - Preparation of technical decision templates for the development of the personalization strategy - Documentation and handover of developed solutions in Confluence and similar tools - Preparation of technical materials for data protection, especially data flow diagrams - Advice on GDPR-compliant use of Adobe Target and related systems - Conducting workshops to introduce Adobe Target

A company is looking for a freelance Civil engineering experts to evaluate AI models. The goal of the project is to assess the performance, accuracy, and reliability of AI models applied in civil engineering contexts. The role involves working closely with the development team to ensure the models meet industry standards and provide actionable insights. Key responsibilities: - Evaluate AI models for civil engineering applications. - Analyze model outputs and provide feedback for improvement. - Collaborate with the development team to ensure alignment with industry standards. - Document findings and recommendations for model optimization. - Conduct tests to validate model performance and reliability.

- You develop modern, high-performance web frontends with React, TypeScript, HTML and CSS - You implement responsive designs with attention to accessibility and performance - You plan and execute unit and integration tests (for example with Playwright) - Troubleshooting in development, test, or live environments

- Product and web development in the data-driven area - Shaping the software architecture for new data products - Collaboration in interdisciplinary teams (e.g. with data scientists and business developers)