- You are the central point of contact for our business clients, supporting them by phone and advising them on their individual needs. - With negotiation skills you secure strong deals and ensure that our products reach our B2B customers in the best possible way. - From creating offers to billing, you keep an overview and drive your sales figures forward in a targeted way. - You seize opportunities, follow up on your deals consistently, and achieve measurable results. - Through smart prospecting and strategic networking, you continuously expand your client portfolio and strengthen long-term relationships.

- Independent marketing of our brand portfolio through innovative licensing, brand, and lifestyle collaborations to create unique brand experiences - Responsibility for defined sectors in the sales team, including strategic development, identifying and approaching target customers, as well as ongoing market and trend analyses - Building new partnerships by winning new licensees and supporting and developing existing license partners - Planning, steering, and controlling the budget for the responsible sectors with a strategic focus - Participating in relevant industry trade shows to pick up trends and acquire potential partners - Adapting marketing materials and proposals to tailor them specifically to individual customer needs - Acting as the interface & primary contact for external sales partners, including assessing and coordinating sales potentials - Promoting effective collaboration between sales and brand management - Maintaining and using the CRM system as well as potential overviews

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

- A company is looking for an experienced business analyst to support the transformation from SAP ECC to S/4HANA Utilities. - The project aims to analyze, document, and optimize output and archiving processes, as well as create business concepts and specifications. - The analyst will work closely with product owners, IT, and business departments to align feasibility, effort, and prioritization of requirements.

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

A company is looking for an experienced product manager, ideally with a background in hospitality. The goal of this project is to develop innovative product solutions and optimize existing processes to improve customer experience and strengthen the company's market position. The product manager will play a key role in developing and implementing product strategies, working closely with internal teams and external stakeholders. Travel expenses are not covered, so the candidate should preferably be based in Berlin or be willing to cover costs themselves. - Lead and oversee the entire project lifecycle in the Cloud POS area - Develop and implement project plans, schedules, and budgets - Coordinate between different teams and stakeholders - Ensure project goals and requirements are met - Identify and manage risks and issues - Report to management and other relevant parties

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

A company is looking for experienced Project Managers and Account Managers who can deliver international campaigns on a hands-on basis. The role requires close collaboration with various markets and stakeholders to ensure campaigns are run effectively and on time. This position is ideal for candidates with extensive agency experience, especially in delivering classic 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 schedules and budgets - Coordinating teams and resources - Reporting and analyzing campaign results

A company is looking for support in the project to evaluate, implement, and further develop quality surveys in digital channels. The goal of the project is to increase customer satisfaction in digital channels, to evaluate, implement, and further develop survey methods, and to enable consistent measurement of customer satisfaction across all channels. Improvement potentials should be identified and implemented. The role includes advising, developing, and implementing measures to collect and improve customer satisfaction in digital channels. Main tasks: - Advising on survey methods for measuring customer experience and quality in digital channels, market standards, benchmarks, and future orientation. - Developing a future model for quality in digital channels, relevant KPIs and survey methods, as well as standard processes. - Implementing the decided measures, including interface management and coordination with technology partners and social partners. - Testing the implemented measures to collect data and ensure they meet the required criteria. - Consolidating and listing existing and missing customer survey methods/quality KPIs in all responsible digital channels. - Advising on the creation of decision proposals and implementing the necessary measures. - Identifying improvement potentials and developing a standard process for transparency and implementation.

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

We are the agentic data management platform for production and logistics, where AI Agents powered by a domain specific semantic layer clean, prepare and format data, so that ad-hoc business requests that usually take weeks are answered in seconds, enabling fast data-driven decision making. To further shape and scale this product, we are looking for a (senior) freelance Data & Semantic Layer Architect with a strong focus on conceptual and architectural work (not hands-on implementation in this first phase), who will: - design the overall product and solution architecture (semantic layer, data platform, knowledge base, multi-agent workflows, APIs) - define a feature list and solution roadmap for the first product versions - specify an MVP / prototype for the validation phase (scope, tech stack, integrations, risks) - create a high-level effort estimate and team setup (roles, skills, build-vs-buy) - design the core semantic layer (domains, KPIs, metrics logic, data catalog, business rules).

For an AI lab we are looking for Machine learning experts 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: - Design original computational STEM problems that simulate real scientific workflows - Create problems that require Python programming to solve - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks) - Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches - Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn) - Document problem statements clearly and provide verified correct answers

An AI Lab is looking for a AI Trainer for Vibe Coding. This role involves producing accurate, well-reasoned outputs across diverse domains, leveraging automation and AI tools. The position requires expertise in coding and optimizing Python scripts, handling large datasets, improving AI-generated content, and formatting and troubleshooting technical workflows. 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: - Conduct advanced web research and data mining using multiple tools to locate and extract information from official sources. Use LLMs and advanced prompts to refine search strategies and validate data accuracy by cross-referencing authoritative sources. - Perform web scraping and data extraction by navigating complex website structures and multi-level pages (regions → companies → detailed pages). Handle dynamic content, archived pages, and various HTML formats, and organize extracted data into clean, well-formatted CSV files. - Write and optimize Python scripts for data processing and analysis using libraries such as pandas, BeautifulSoup, Selenium, and matplotlib. Transform raw data into structured formats (CSV, JSON, tables) and create visualizations when required. - Carry out data processing and quality assurance by cleaning, validating, and structuring datasets. - - Ensure data integrity across multiple sources, apply formatting specifications, and run verification steps to maintain high output quality. - Apply strong problem-solving and task execution skills to break down complex workflows, troubleshoot technical issues independently, and adapt quickly between different domains and task types with minimal supervision. - Produce clear documentation and high-quality outputs that follow exact requirements for file formats, naming conventions, and data structure. Maintain reproducible workflows and well-organized code.

For an AI lab we are looking for Statistics Expert 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: - Generate prompts that challenge AI. - Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. - Correct the model’s responses based on your domain-specific knowledge.

- Identification and analysis of cyber risks arising from changes in the digital landscape and attackers’ growing capabilities. - Development and assignment of appropriate countermeasures and creation of roadmaps for effectively handling digital threats. - Translation of security incidents and threats into concrete, business-relevant risks with suitable countermeasures. - Continuous improvement of processes for managing the cyber risk lifecycle and increasing the maturity of the Cyber Risk Desk. - Preparation of project reports on status, impact, and required actions related to identified risks. - Creation of risk analyses and management processes that comply with applicable regulatory standards (SOX, PCI, data protection). - Conducting an initial risk assessment (likelihood, impact, risk level) including a precise description of risks, impacts, and probability of occurrence. - Assessment and detailed description of residual risk after the potential implementation of identified risk reduction measures.

A company is looking for an experienced E engineer who specializes in the design and construction of electric motors. The project aims to qualify an insulation system, analyze operating points, and optimize electric motors. Additionally, expertise in frequency converters (FC) is needed to run tests and support the tuning of the motor control. - Qualify an insulation system according to 60034-18-41 - Analyze electrical operating points with field weakening and efficiency - Optimize electric motor laminations in terms of cost and torque density - Supervise frequency converter tests to support motor control tuning

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

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.

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 the Adobe Experience Cloud to implement personalized user experiences. The goal is to increase conversion rates and improve customer experience through targeted personalization and testing. The technical implementation is carried out independently by specialized consultants. - A central part of the tasks includes maintaining the existing implementation within the Adobe Experience Platform. This particularly involves monitoring 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 relevant data. - Based on this, corresponding schemas are set up within the platform and data sets are prepared for further use. - Other tasks include designing and setting up both new activation channels and additional data sources. - Additionally, new business-relevant use cases are developed across the different phases of the customer journey to specifically increase business value. - Creating segments and performing error analyses using targeted SQL queries. - Advising on all newly introduced processing activities, ensuring compliance with applicable data protection regulations, the necessary internal approval processes, and documentation of legal and technical specifics.

The service is requested as part of the Brand Image Pool photoshoot project. The project includes: - Controlling sub-tasks throughout the image pool photoshoot project from Jan to June - Taking on Brand Guardianship tasks during the pool shoot project - Detailed service description without reference to persons: - Independent definition, control and execution of the project, from project management to creating roadmaps and project presentations - Developing ideas and concepts for measures - Active management of project risks - Active management of issues in the project, including technical advice on escalations - Preparation and follow-up of stakeholder and steering board meetings - Defining the project scope and higher-level project phases - Transparent and appropriate communication to the client regarding scope, quality, schedule, budget and status

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

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 focus on accessibility and performance - You plan and run unit and integration tests (for example with Playwright) - Troubleshooting in development, test, or live environments

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

- You create topic briefings, research and write well-founded (guide) texts in a sophisticated language style and edit the contributions of our freelance authors - The topic areas include the target group of hobby gardeners in the garden and plant sector, as well as living and furnishings, design and decor, do-it-yourself, and cooking and nutrition are also part of the spectrum - In close exchange with colleagues, readers and experts, you develop exciting topics and prepare them for the target group - Maintaining and expanding press contacts, as well as ordering photo material in the garden/home and decor sector, are also part of your tasks - Optionally, photo productions are organized and carried out, as well as press appointments and trade show visits

To replace the consent layers on the web that were previously provided by third-party CMPs for our international brands, these layers need to be newly implemented so they can be operated and delivered in-house. This requires solid knowledge of Typescript, Vue.js, and classic web technologies (HTML and CSS). The goal is to deliver executable code that implements all requirements and includes automated tests proving correct functionality. What exactly is the scope of the assignment: The main focus of the work is to develop the elements for decision-making on the approach and to implement measures along the designed project path. This specifically includes the following work packages: - Implementation of code - Implementation of executable tests that must pass for delivery, test coverage >= 80% - Creation of documentation for the code - Creation of brand-specific cmp-config files - Creation of a project (including asset management requirements) as a copy of the consent management platform - Removal of netID references - Creation of brand-specific settings and files for custom purposes/vendors - Addition of new brand-specific CSS themes (variable values, logos, etc.) - Inclusion of the required official IAB GVL translations (ES, FR) in the weekly sync with the GVL - Implementation of I18n and preparation of brand-specific data sources - Implementation of PMC2.0 backend usage modules - Implementation of the playout logic - Implementation of the layer initialization process (mode=default and mode=resurface) - CDN upload and release process - Project documentation Project implementation: - The desired result should be written in Typescript and Vue.js, built with Vite, tested with Vitest.

For an AI lab we are looking for German-speaking dentists to train an AI model (Large Language Model - LLM). As consultant, you may be invited to take part in online projects to train the model in your domain of expertise. This flexible role accommodates both experts seeking part-time engagement (minimum few hours/week) and those interested in full-time opportunities. Although every project is unique, you might typically: - Collaborate with the AI lab to provide domain-specific knowledge in dentistry. - Participate in online training sessions to enhance the AI model's understanding. - Review and validate AI-generated content for accuracy and relevance. - Offer insights and feedback to improve the model's performance. - Engage in flexible project-based work, adapting to unique project requirements.

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 the platform as an AI Tutor in Biology, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: - Generate prompts that challenge AI. - Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. - Correct the model’s responses based on your domain-specific knowledge.

For an AI lab we are looking for mathematicians with python experience to train an AI model (Large Language Model - LLM). As consultant, you may be invited to take part in online projects to train the model in your domain of expertise. This flexible role accommodates both experts seeking part-time engagement (minimum few hours/week) and those interested in full-time opportunities. Although every project is unique, you might typically: - Design original computational mathematics problems that simulate real mathematical research workflows. - Create problems requiring Python programming to solve (using numpy, scipy, sympy). - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks). - Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis. - Base problems on real research challenges or practical applications from mathematical practice. - Verify solutions using Python with standard mathematical libraries. - Document problem statements clearly and provide verified correct answers. Support in: - Number Theory: Prime factorization, Diophantine equations, modular arithmetic, cryptographic computations. - Combinatorics: Enumerations, partitions, generating functions, combinatorial optimization. - Graph Theory: Network analysis, path finding, graph coloring, spanning trees. - Numerical Analysis: Root finding, numerical integration, differential equations, matrix computations. - Discrete Mathematics: Recurrence relations, algorithmic complexity, discrete optimization. - Algebra: Polynomial computations, group theory calculations, matrix decompositions.