Overview We are seeking a highly experienced and strategic Principal Product Manager - Data Science & Machine Learning to drive the vision, strategy, and execution of AI/ML-powered products. You will work closely with data scientists, engineers, and cross-functional teams to build scalable machine learning solutions that enhance user experience and drive business impact. Responsibilities * Define and own the product vision, strategy, and roadmap for machine learning and data science initiatives. * Collaborate with engineering and data science teams to develop and deploy scalable AI/ML models. * Identify customer and business problems that can be addressed through AI/ML solutions. * Work closely with stakeholders to translate business requirements into actionable ML-driven features and capabilities. * Drive experimentation, A/B testing, and iterative improvements to optimize model performance and product outcomes. * Partner with engineering teams to ensure seamless integration of machine learning models into production environments. * Develop success metrics and monitor the impact of machine learning initiatives on key business KPIs. * Stay informed on the latest advancements in AI/ML technologies and identify opportunities to incorporate them into our products. * Communicate effectively with executives and cross-functional teams to ensure alignment on product goals and priorities. Required Skills and Experience * Bachelor's degree in business, computer science, engineering, or a related field; MBA or relevant advanced degree is a plus. * 8+ years of experience in product management, with at least 3 years focused on AI/ML or data science products. * Strong understanding of machine learning concepts, data pipelines, and AI-driven applications. * Experience working closely with data science and engineering teams to bring ML models to production. * Proven ability to manage complex, technical projects with multiple stakeholders. * Strong analytical and problem-solving skills, with a data-driven approach to decision-making. * Excellent communication and stakeholder management skills. * Experience with cloud-based ML platforms (e.g., AWS, GCP, Azure) is a plus.