Project details
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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:
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New
Product Manager POS / Cash Register Systems (m/f/d)
A company is looking for an experienced product manager, ideally with a background in hospitality. The goal of the project is to develop innovative product solutions and optimize existing processes to improve the customer experience and strengthen the company’s market position.
The product manager will play a key role in developing and implementing product strategies and will work 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 the costs themselves.
- Leading and overseeing the entire project lifecycle in the Cloud POS area
- Developing and implementing project plans, schedules, and budgets
- Coordinating between different teams and stakeholders
- Ensuring compliance with project goals and requirements
- Identifying and managing risks and issues
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AI Evaluation Consultant (m/w/d)
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
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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;
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CRM Manager (m/f/d)
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Freelance Civil Engineer with Python Experience (m/f/d)
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- Conduct tests to validate model performance and reliability.
Senior Web Developer (m/f/d)
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Account Manager B2B for a media company (m/f/d)
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Project implementation:
- The deliverable should be written in Typescript and Vue.js, built with Vite and tested with Vitest.
Frontend developer to HR platform with Angular experience
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Consultant - Digital Analytics & Data Management (m/w/d) (9334)
Industry
Telecommunication
Areas
Business Intelligence
Information Technology (IT)
Project Management
Project info
- Period01.04.2025 - 30.06.2025
- Capacityfrom 95%
- Daily rate750 - 800€
- LocationMunich, Germany
- Languages
- German(Advanced),
- English(Advanced)
- German
- Remotefrom 95%
Description
The focus is on coordination, data management, and expert consulting:
Consulting the Digital Analytics Team
Advising on all topics related to the Digital Analytics team.
Participating in program meetings and other project-related appointments.
Providing expert advice to ensure smooth information and communication flow among program stakeholders and the Digital Analytics team.
Conceptual consulting in data management
Further developing online tracking with Google Analytics 4 (GA4).
Creating and optimizing reports using Power BI.
Consulting and designing concepts for efficient data use within the program.
Process consulting for the DA team
Adapting the Digital Analytics organization to the new system landscape and processes during and after implementation.
Introducing new processes to optimize the DA organization within the RAITT environment.
Board-level services
Preparing and presenting current challenges to support board-level decision-making.
Developing and presenting solution options to aid decision making.
Requirements
Must-have Skills:
- Consulting skills: Experience advising Digital Analytics teams and program stakeholders.
- Project & stakeholder management: Ability to coordinate among various program stakeholders.
- Data management & analysis: Expertise in using and enhancing online tracking tools (especially Google Analytics 4).
- Reporting & visualization: Proficient with Power BI for creating and optimizing reports.
- Process optimization: Experience developing and implementing new processes to improve a Digital Analytics organization.
- Strategic communication: Ability to present complex issues for board-level decision-making.
- IT affinity: Understanding of new system landscapes and their impact on existing processes.
Nice-to-have Skills:
- Agile methodologies: Experience with agile practices and tools like Jira or Confluence.
- Change management: Ability to guide and steer organizational changes.
- Business understanding: Knowledge of business case development and financial evaluation of data strategies