Junior Produktmanager (m/w/d) für KI, UX & Automatisierung

📍 Job Overview

Job Title: Junior Produktmanager (m/w/d) für KI, UX & Automatisierung

Company: CHECK24

Location: Hamburg, Germany

Job Type: Vollzeit (Full-time)

Category: Product Management, AI, UX, Automation, InsurTech

Date Posted: March 04, 2026

Experience Level: Junior (0-2 years)

Remote Status: Hybrid

🚀 Role Summary

• Drive the digitalization of InsurTech products by focusing on AI, UX, and automation initiatives within the health insurance comparison portal.

• Take a central role in evolving automated customer communication and implementing innovative features, leveraging generative AI and Large Language Models (LLMs).

• Enhance the overall customer experience through strategic product development and the integration of AI-driven solutions.

• Analyze data to identify automation potentials and evaluate AI-based approaches for both frontend and backend systems.

• Stay abreast of the latest AI trends and best practices, proactively assessing their applicability to product enhancements and process optimization.

📝 Enhancement Note: This role is positioned as a Junior Product Manager with a strong emphasis on the intersection of Artificial Intelligence (AI), User Experience (UX), and automation within the InsurTech sector. The focus on "KI, UX & Automatisierung" and the specific mention of "generativer KI / Large Language Models (LLMs)" indicate a forward-thinking product strategy aimed at improving customer journeys and operational efficiency. The hybrid work model, with specific days on-site, suggests a collaborative environment requiring in-person interaction for strategy and development.

📈 Primary Responsibilities

• Lead the product development lifecycle for new features, with a specific focus on integrating generative AI and Large Language Models (LLMs).

• Collaborate closely with senior management to define and execute innovative product strategies and new feature roadmaps.

• Drive User Experience (UX) improvements by leveraging AI tools and working hand-in-hand with software development teams.

• Conduct thorough data analysis to pinpoint opportunities for automation and define requirements for AI-based solutions across frontend and backend applications.

• Continuously monitor industry best practices and emerging trends in artificial intelligence, assessing their potential for application within CHECK24's product portfolio.

• Support the definition and optimization of new business processes driven by automation and AI technologies.

• Evaluate and propose AI-based solutions to enhance existing product functionalities and customer interactions.

📝 Enhancement Note: The responsibilities highlight a hands-on product management role with a significant technical component. The emphasis on "Koordination der Implementierung" and "Evaluierung KI-basierter Lösungsansätze" suggests direct involvement in the execution and technical assessment phases. Collaboration with "Geschäftsführung" indicates a high-visibility role with direct impact on strategic decisions.

🎓 Skills & Qualifications

Education:

Experience:

Required Skills:

• Strong analytical and conceptual capabilities, essential for understanding complex data and formulating strategic product decisions.

• High affinity and a deep interest in Artificial Intelligence (AI) and Large Language Models (LLMs), with the ability to grasp their potential applications.

• Proficiency in Agile working methodologies, enabling adaptability and efficient iteration in a fast-paced development cycle.

• A hands-on mentality and the flexibility to adapt to new requirements and challenges with a proactive approach.

Preferred Skills:

• Experience in programming or implementing AI-based solution approaches, which would provide a significant advantage in understanding technical feasibility and guiding development.

• Familiarity with UX design principles and tools to effectively contribute to user-centric product development.

📝 Enhancement Note: The qualifications emphasize a blend of academic background, practical digital experience, and a specific aptitude for AI and agile methodologies. The preference for programming experience suggests a role that bridges the gap between product strategy and technical execution, particularly in the context of AI development.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase examples of product development processes managed, detailing the stages from ideation to launch, with a focus on AI-driven features.

• Present case studies demonstrating successful implementation of new features, particularly those involving generative AI or LLMs, and their impact on user experience or efficiency.

• Provide evidence of process optimization initiatives, highlighting how data analysis led to the definition and implementation of automated workflows.

Process Documentation:

• Documented workflows for managing product backlogs, feature prioritization, and sprint planning within an agile framework.

• Evidence of process mapping for customer communication flows, detailing how automation or AI has been introduced to improve efficiency and user interaction.

• Frameworks for evaluating the performance of AI models and automated processes, including metrics for success and continuous improvement strategies.

📝 Enhancement Note: While a formal portfolio isn't explicitly requested in the provided text, the nature of the role heavily implies its importance. Candidates should be prepared to demonstrate their product development process, analytical skills, and understanding of AI implementation through concrete examples, potentially in a case study format during interviews.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Attractive voucher package for a variety of CHECK24 products.

• Generous support for company pension schemes.

• Very good cost contribution towards the EGYM Wellpass.

• 28 days of paid vacation per year.

• Opportunity to take up to 10 days of unpaid leave.

• Individual development and continuous training opportunities through a broad catalog offered by the HR department.

• Free breakfast with a selection of muesli options.

• Free office lunch provided daily.

• Access to fresh fruit, hot, and cold beverages throughout the day.

• A flexible health budget for personal well-being.

• Participation in organized sports activities (e.g., football, Alster runs, back fitness).

• Ergonomic workstation equipped with modern hardware (e.g., MacBook, additional monitors) and a height-adjustable desk.

Working Hours:

• Standard 40-hour work week.

📝 Enhancement Note: The salary range is an estimation based on market data for similar roles in Hamburg, Germany. The extensive list of benefits provided in the job description highlights CHECK24's commitment to employee well-being, professional development, and work-life balance, which are strong attractors for operations and product roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: InsurTech, Comparison Portal, E-commerce (specifically in the insurance sector).

Company Size: CHECK24 is a large, established company with a significant employee base, operating in a competitive digital market. This size offers stability and resources while the mention of "Startup-Flair" suggests an agile and innovative internal culture.

Founded: CHECK24 was founded in 1999, indicating a long-standing presence and extensive experience in the online comparison market.

Team Structure:

• The role involves close collaboration with the "Geschäftsführung" (management), implying direct access to leadership and strategic decision-makers.

• The team likely comprises product managers, software developers, UX designers, and AI specialists, forming a cross-functional unit focused on product innovation.

Methodology:

• Emphasis on an agile working methodology, facilitating iterative development and rapid response to market changes.

• Data-driven decision-making, with a focus on analyzing data to identify automation potentials and evaluate AI solutions.

• Continuous improvement of the customer experience (CX) as a core objective.

• A blend of established company processes and a dynamic, "startup-like" approach to innovation and product development.

Company Website: https://www.check24.de/

📝 Enhancement Note: CHECK24's culture appears to balance the stability and resources of a large, established company with the dynamism and innovation often found in startups. The focus on "Digitalisierung," "KI," and "Automatisierung" suggests a forward-thinking environment that values technological advancement and customer-centric product development.

📈 Career & Growth Analysis

Operations Career Level: This role is at the Junior Product Manager level, serving as an entry point into specialized product management within the digital and AI space. It offers a foundational understanding of product lifecycle management, AI integration, and UX principles.

Reporting Structure:

Operations Impact:

• The role has a direct impact on enhancing the customer experience of CHECK24's health insurance comparison portal through AI-driven features and automation.

• Successfully implementing AI and automation initiatives can lead to increased operational efficiency, improved customer satisfaction, and a stronger competitive position in the InsurTech market.

Growth Opportunities:

• Product Management Specialization: Progression to Product Manager, Senior Product Manager, or Product Owner roles, with increasing responsibility for product strategy and team leadership.

• AI & Automation Expertise: Development into a specialized AI Product Manager, focusing on advanced AI initiatives, machine learning operations (MLOps), or AI strategy.

• Technical Leadership: Opportunities to deepen technical understanding and potentially move into roles overseeing technical product development or AI implementation teams.

• Cross-functional Mobility: Potential to move into related areas like Business Development, Project Management, or Data Science within CHECK24.

📝 Enhancement Note: The Junior Product Manager role at CHECK24 offers a clear path for growth, particularly for individuals interested in the intersection of technology, product, and AI. The company's size and focus on innovation provide ample opportunities for skill development and career advancement within the product management discipline.

🌐 Work Environment

Office Type: The role is based in Hamburg, Germany, at a central location with a view of the Alster. The company emphasizes a "Präsenzkultur" (on-site presence culture) combined with "Startup-Flair," suggesting a dynamic, collaborative, and modern office environment.

Office Location(s):

Workspace Context:

• Collaborative atmosphere with a "Du-Kultur" (informal address culture) and regular team events.

• On-site amenities include a table tennis table, foosball table, grill on the rooftop terrace, and a view over the Outer Alster.

• Modern equipment provided, including MacBooks, additional monitors, and height-adjustable desks, ensuring an ergonomic and productive workspace.

Work Schedule:

• Monday to Thursday are dedicated to on-site work, fostering team collaboration and in-person strategy sessions.

• Fridays offer the flexibility of mobile working, allowing for focused individual work.

📝 Enhancement Note: The work environment is designed to foster collaboration, innovation, and employee well-being. The hybrid model, with specific days for on-site presence, aims to balance team synergy with individual flexibility, which is beneficial for roles involving complex problem-solving and strategic planning.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a brief call with HR to assess basic qualifications, motivation, and cultural fit.

• Technical/Product Interview: In-depth discussion focusing on product management principles, AI/LLM understanding, UX concepts, and analytical capabilities. This may involve hypothetical scenarios or discussions of past projects.

• Case Study/Challenge: A practical exercise to evaluate problem-solving skills, analytical thinking, and approach to AI/automation implementation. This could involve analyzing a dataset, proposing a feature, or outlining a process improvement.

• Team/Manager Interview: Meeting with the hiring manager and potential team members to assess team fit, communication style, and alignment with company values.

• Final Interview: Potentially with senior leadership to discuss strategic alignment and overall fit for the role and CHECK24.

Portfolio Review Tips:

• Focus on Impact: For any projects presented, clearly articulate the problem, your role, the solution implemented (especially AI/automation aspects), and the measurable results (e.g., improved UX, increased conversion, efficiency gains).

• Showcase AI/UX Integration: Highlight specific examples where you've applied AI, LLMs, or UX principles to solve problems or enhance products. Detail your thought process and the tools/methodologies used.

• Process Optimization Examples: If you have examples of defining or improving processes, particularly those involving automation, present them clearly. Use flowcharts or diagrams if helpful.

• Agile Experience: Be prepared to discuss your experience with agile methodologies, including your role in sprints, backlog management, and collaboration with development teams.

• Tailor to Role: Emphasize projects and skills most relevant to AI, UX, and automation in a product management context.

Challenge Preparation:

• Understand AI Fundamentals: Brush up on key concepts of generative AI, LLMs, their capabilities, limitations, and common applications in product development.

• UX Principles: Review core UX principles and how they translate into actionable product improvements, especially when informed by AI.

• Data Analysis & Automation: Practice thinking through how to identify automation opportunities from data and how to define requirements for AI solutions.

• Strategic Thinking: Prepare to articulate your thought process for product strategy, feature prioritization, and problem-solving in a digital, AI-focused context.

• Communication: Practice clearly and concisely explaining technical concepts and project outcomes to both technical and non-technical audiences.

📝 Enhancement Note: Given the role's focus on AI, UX, and automation, candidates should be prepared for technical discussions and practical exercises. A portfolio or a well-prepared set of case studies demonstrating relevant experience will be crucial for showcasing capabilities beyond a resume.

🛠 Tools & Technology Stack

Primary Tools:

• Product Management Tools: Likely Jira, Confluence, or similar platforms for agile project management, backlog grooming, and documentation.

• AI/ML Platforms: Familiarity with AI development environments, cloud-based ML services (e.g., AWS SageMaker, Google AI Platform, Azure ML), and potentially specific LLM APIs (e.g., OpenAI, Hugging Face).

• UX/Design Tools: Experience with tools like Figma, Sketch, Adobe XD, or similar for wireframing, prototyping, and user flow design.

Analytics & Reporting:

• Web Analytics: Google Analytics, Adobe Analytics, or similar for tracking user behavior and feature performance.

• Business Intelligence Tools: Tableau, Power BI, Looker, or internal CHECK24 BI tools for data analysis and dashboard creation.

• Data Querying: SQL for extracting and manipulating data from databases.

CRM & Automation:

• CRM Systems: Potentially Salesforce or a similar CRM for managing customer data and interactions, though less central to this product role than development tools.

• Automation Platforms: Experience with workflow automation tools or understanding of how to integrate AI models into automated processes.

📝 Enhancement Note: While specific tools are not listed, the role's description implies a need for proficiency in agile development tools, AI/ML platforms, UX design software, and data analytics tools. Candidates with experience in any of these areas, especially those related to AI and LLMs, will be well-positioned.

👥 Team Culture & Values

Operations Values:

• Customer Centricity: A strong focus on improving the customer experience through user-friendly interfaces and efficient, AI-powered services.

• Innovation & Continuous Improvement: A commitment to exploring and implementing cutting-edge technologies like AI and automation to drive product evolution and efficiency.

• Data-Driven Decision Making: Utilizing data analysis to identify opportunities, validate hypotheses, and measure the impact of product changes.

• Agility & Adaptability: Embracing agile methodologies to respond quickly to market changes and evolving customer needs.

• Collaboration: Fostering a team-oriented environment where cross-functional collaboration between product, development, and management is key to success.

Collaboration Style:

• Cross-functional Integration: Expect close collaboration with software developers, UX designers, data analysts, and potentially AI researchers.

• Open Communication: A "Du-Kultur" and direct communication channels with management suggest an environment where ideas are openly shared and feedback is encouraged.

• Hands-on Approach: Team members are expected to be proactive and contribute directly to problem-solving and implementation.

• Process-Oriented: A focus on defining, documenting, and optimizing processes, especially those involving AI and automation.

📝 Enhancement Note: CHECK24's culture appears to value a proactive, data-informed, and collaborative approach to product development, with a strong emphasis on leveraging new technologies to enhance customer experience and operational efficiency.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Staying current with the fast-paced advancements in AI and LLMs and determining their practical application for CHECK24's products.

• Balancing Innovation with Stability: Integrating novel AI features into a large, established platform while ensuring reliability, scalability, and compliance.

• Data Integration & Quality: Ensuring access to high-quality data for training AI models and driving automation effectively.

• Cross-functional Alignment: Effectively communicating technical concepts and product strategies to diverse stakeholders, including management and development teams.

Learning & Development Opportunities:

• AI & LLM Specialization: Deepen expertise in generative AI, prompt engineering, and the ethical implications of AI in product development.

• Product Management Best Practices: Gain hands-on experience in agile product management, roadmap planning, and feature prioritization within a leading InsurTech company.

• UX Design Principles: Enhance understanding of user-centered design methodologies and how to apply them to AI-driven interfaces.

• Industry Exposure: Learn about the InsurTech market, competitive landscape, and the strategic use of technology in financial services.

• Mentorship: Benefit from guidance from experienced product managers and leadership within CHECK24.

📝 Enhancement Note: This role presents a significant opportunity to grow within the burgeoning field of AI in product management. The challenges are directly tied to the cutting-edge nature of the work, offering substantial learning potential for motivated individuals.

💡 Interview Preparation

Strategy Questions:

• "How would you approach defining the product roadmap for AI-driven features in our health insurance comparison portal over the next 12-18 months?" (Focus on process: research, prioritization, stakeholder alignment, AI feasibility).

• "Describe a situation where you used data analysis to identify an automation opportunity. What was the process, and what was the outcome?" (Prepare a specific, quantifiable example).

Company & Culture Questions:

• "What interests you specifically about CHECK24 and our InsurTech products?" (Research CHECK24's market position, recent news, and company values).

• "How do you see AI impacting the future of insurance comparison and customer service?" (Demonstrate foresight and alignment with industry trends).

Portfolio Presentation Strategy:

• Structure: For each project, clearly outline the Problem, Your Role, Solution (emphasizing AI/UX/automation), and Results (quantifiable metrics).

• AI/UX Focus: Dedicate significant time to explaining how AI and UX principles were integrated. Show examples of user flows, AI outputs, or interface designs if possible.

• Process Clarity: Detail the product development process you followed, including any challenges and how you overcame them.

• Conciseness: Be prepared to present key information efficiently, allowing time for Q&A. Aim for 5-10 minutes per case study.

📝 Enhancement Note: Interview preparation should strongly emphasize practical application of AI and UX concepts within a product management context. Candidates should be ready to articulate their thought processes, demonstrate analytical skills, and showcase how they can drive innovation and efficiency.

📌 Application Steps

To apply for this operations position:

• Submit your application through the CHECK24 careers portal via the provided link.

• Tailor Your Resume: Highlight experience and skills relevant to product management, AI, UX, and automation. Use keywords from the job description (e.g., "Generative AI," "LLMs," "UX," "Agile," "Data Analysis"). Quantify achievements wherever possible.

• Prepare Your Portfolio/Case Studies: Select 2-3 strong examples that showcase your product development process, analytical skills, and experience with AI/automation or UX improvements. Be ready to present these clearly and concisely.

• Research CHECK24: Understand their business model, key products (especially in health insurance), and their stated values regarding digitalization and customer experience.

• Practice Interview Questions: Prepare answers for strategy, technical, and behavioral questions, focusing on demonstrating your problem-solving approach and suitability for the role and company culture.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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