Your Responsibilities
- Product Vision & Strategy:
- Define and execute a roadmap for AI-driven products, emphasizing recommender systems and generative AI/LLM applications
- Establish clear success metrics and KPIs for each product initiative
- Cross-Functional Leadership:
- Collaborate with data scientists, engineers, and business stakeholders to prioritize features, manage the product backlog, and ensure timely delivery
- Project Management:
- Oversee the complete product lifecycle--from ideation through testing, deployment, and ongoing performance monitoring
- Coordinate resources, manage risks, and adjust plans based on user feedback and evolving business needs
- Use Case Identification & Evaluation:
- Identify high-impact ML use cases, lead pilot projects, and drive their transition into production
- Continuous Improvement:
- Monitor model performance (e.g., for drift), optimize existing data pipelines, and implement improvements based on data insights
- Staying Current:
- Keep up with emerging trends in generative AI and LLM technologies, evaluating their potential to further enhance our product offerings
Your Qualifications
- Educational Background:
- Bachelor's or Master's degree in Data Science, Computer Science, Analytics, Mathematics, or a related field
- Experience:
- 2-4 years of product management or technical project management experience in data-driven environments
- Hands-on exposure to machine learning projects, with a focus on recommender systems and generative AI/LLM applications
- Technical Skills:
- Working knowledge of Python and SQL
- Solid understanding of the machine learning lifecycle--from prototyping to production deployment--and familiarity with LLM techniques
- Agile & Stakeholder Management:
- Experience using agile or Scrum methodologies to manage product backlogs, sprint planning, and iterative development
- Excellent communication skills to translate business needs into technical requirements and to coordinate across cross-functional teams
- Analytical & Strategic Thinking:
- Ability to define clear KPIs, monitor product performance, and use data-driven insights to guide product enhancements
- Bonus (Optional):
- Experience with A/B testing or experimental design
Your Benefits
- We value your commitment: Look forward to an attractive salary package, vouchers for many CHECK24 products, and a subsidised company pension scheme
- Your working model, your choice: We love working together on site - but the choice is yours. Either be on site all week or enjoy the flexibility of working from home on Fridays
- Special successes pay off: Benefit from workations (up to 2 weeks of mobile working abroad), sabbaticals, and additional vacation days
- Personal growth: Our extensive training catalogue and tailored development programmes offer you individual opportunities to grow and shape your career
- Energised throughout the day: Free CHECKito lunch every day, plus a wide selection of drinks, a muesli bar, and fresh fruit - all part of our standard
- Your health matters: Enjoy 50% off the EGYM Wellpass and get unlimited access to fitness and wellness offers
- We equip you: From day one, you'll receive a well-equipped workstation with a MacBook, two additional screens, and a height-adjustable desk
- Good on the go: With the Deutschlandticket or a subsidised job bike/eBike and excellent transport links, you can easily reach our central locations
- We live the CHECK24 spirit: From sports activities to legendary company and team events - we also celebrate together outside of work!
Contact
Lydia.Kretschmer@check24.de
https://jobs.check24.de
Send us applications only through our online application form, please.
