At HolidayCheck, we pursue our purpose of making vacations better together. We not only enable our Urlaubers to have the best time of the year, but also create a unique working atmosphere for our HolidayCheckers in our office in the beautiful Berg am Laim in Munich or in Bottighofen, Switzerland directly at lake Constance! To take this to the next level, we are looking for YOU!
We live our corporate values every day, are #TeamHolidayCheck, create trust, take responsibility, make well-founded decisions, love what we do and move HolidayCheck forward. 

Do you want to help us redefine the online travel business with the help of Machine Learning? At HolidayCheck, we are redefining how our customers discover their dream hotel and the perfect offer by leveraging data-informed insights and innovative Machine Learning features to fit their needs.

This role goes beyond traditional product management—you’ll dive deeper into technical aspects, translate business problems into ML requirements, and align cross-functional teams. You’ll work closely with data scientists, ML engineers, and business teams to prioritize high-impact features, navigate technical ambiguity, and ensure ML models are customer-focused and add real business value.

If you’re passionate about applying ML to real-world challenges and thrive at the intersection of AI, business, and engineering, we’d love to hear from you!

• You define and drive the machine learning product roadmap, identifying opportunities for AI/ML-driven solutions that align with business goals.
• You collaborate with stakeholders to establish a clear product vision for our AI and personalization efforts.
• You partner with data scientists, ML and software engineers, UX designers, and business teams to ensure successful product development.
• You conduct competitor analysis and market research to uncover trends and position ML innovations as a competitive advantage in the travel e-commerce space.
• You translate high-level business requirements into technical specifications for machine learning models.
• You oversee the lifecycle of ML initiatives, from ideation and development to deployment and continuous improvement.
• You ensure timely delivery of ML-powered features by managing sprint planning, prioritization, and milestone tracking.
• You define and monitor key performance metrics for ML products, ensuring data-driven decision-making and continuous optimization.
• You present technical concepts and project updates to non-technical stakeholders, ensuring alignment across teams.
• You collaborate with legal and compliance teams to address concerns related to data usage, model bias, data privacy and ethical

Our team

• We are an international team of data scientists and machine learning engineers passionate about integrating machine learning features that create meaningful impact, and we are eager to continue driving innovation
• We embrace a data-informed approach, ensuring our decisions are grounded in insights that help us deliver value to our customers and business
• We work collaboratively with stakeholders across the company, aligning ML initiatives with broader goals
• We focus on moving the needle on the most relevant business metrics, using machine learning to address high-impact challenges and opportunities
• Our team thrives in a diverse and supportive environment where collaboration and continuous improvement are at the heart of everything we do