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 Netherlands.

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. Ideal for a product leader who enjoys navigating ambiguity and solving high-impact problems, this position offers the opportunity to influence core business performance through innovative technology and cross-functional collaboration.

• 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.