Machine Learning Product Manager

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Product Manager based in Germany. As a Machine Learning Product Manager, you will lead the strategy, development, and optimization of intelligent decision‑making systems that drive meaningful business outcomes. Working at the intersection of product, data science, engineering, analytics, and commercial teams, you will transform complex challenges into scalable AI‑powered solutions. This role combines strategic thinking with technical product leadership, requiring a strong understanding of machine learning, experimentation, and data‑driven decision‑making. You will shape how automated systems support growth, improve operational efficiency, and balance human oversight with intelligent automation. Accountabilities Define and own the product vision, strategy, and roadmap for machine learning‑powered decisioning and optimization capabilities. Translate business objectives into clear product requirements, user stories, decision frameworks, and measurable success metrics. Collaborate closely with Data Science, Engineering, Analytics, Commercial, and Leadership teams to develop intelligent systems that support growth and operational efficiency. Identify, evaluate, and prioritize high‑impact use cases for machine learning and automated decision‑making across the business. Lead discovery initiatives to understand existing workflows, operational challenges, and opportunities for optimization through AI‑driven solutions. Partner with technical teams to define data requirements, model objectives, experimentation frameworks, monitoring strategies, and feedback mechanisms. Design and implement human‑in‑the‑loop processes that balance automation with transparency, control, and reliability. Drive experimentation and validation efforts to assess model performance, mitigate risk, and support data‑informed product decisions. Define, monitor, and optimize product KPIs and machine learning performance metrics to ensure measurable business impact. Communicate complex technical concepts, machine learning systems, and optimization strategies effectively to both technical and non‑technical stakeholders. Requirements Minimum of 5 years of product management experience, including several years working with machine learning, artificial intelligence, predictive systems, or algorithmic decision‑making products. Proven experience collaborating with Data Science and Engineering teams to deliver ML‑powered products and translate business needs into technical solutions. Strong analytical mindset with expertise in experimentation, hypothesis testing, performance measurement, and data‑driven decision‑making. Ability to evaluate complex business and commercial trade‑offs while balancing customer, operational, and organizational priorities. Solid technical fluency, including familiarity with data pipelines, model development lifecycles, model evaluation techniques, system constraints, and experimentation methodologies. Experience working in highly strategic, ambiguous, and cross‑functional product environments where solutions require significant discovery and iteration. Excellent stakeholder management and relationship‑building skills, with the ability to align diverse teams around common objectives. Structured and outcome‑oriented approach to product discovery, roadmap development, prioritization, and execution. Exceptional communication skills with the ability to simplify and explain complex systems to varied audiences. Experience with marketplaces, recommendation systems, ranking algorithms, pricing systems, advertising technology, or similar optimization‑focused domains is highly desirable. Passion for artificial intelligence, intelligent systems, sustainability, and creating measurable business value through technology. Benefits Fully remote work environment with flexibility to work from anywhere within eligible European locations. Flexible working hours and a high level of autonomy over work organization and schedule management. Dedicated learning and development budget to support professional growth through courses, certifications, conferences, and training opportunities. Access to professional coaching, personal development resources, and mental health support services. Regular internal workshops, knowledge‑sharing sessions, and cross‑functional learning opportunities. Opportunity to participate in company‑wide gatherings, team‑building events, workshops, and collaborative office weeks throughout the year. Inclusive, feedback‑driven culture that encourages innovation, experimentation, and continuous improvement. Collaborative and diverse international team environment with strong emphasis on personal ownership and impact. Optional access to modern office facilities for in‑person collaboration and networking. Strong commitment to work‑life balance and employee well‑being. #J-18808-Ljbffr Jobgether