Principal Data Product Manager - Machine Learning /​ AI

About the Role

It’s an exciting time to join us! We’re entering new markets, developing new technologies, and moving step by step towards our goal of exciting the world. As our business grows, the number of exciting people initiatives grows with it, and we’re looking for a new colleague to partner with our team to bring these to life. As a Principal Data Product Manager – Machine Learning / AI, you will own the vision, strategy, and roadmap of our internal Machine Learning and AI initiatives, focusing on the “what” and “why” behind data-driven solutions. You’ll partner closely with our Director of Engineering/Research – Machine Learning and their engineering teams to translate business problems into technical capabilities that will generate clear business outcomes. Your work will streamline how we ideate, develop, and deploy machine learning models—ranging from predictive analytics, personalization, and fraud detection to real-time recommendations—ensuring our customers benefit from cutting-edge, scalable, and reliable AI-powered features.

What You'll Do

• Own the long-term product vision and roadmap for ML/AI solutions, in alignment with Superbet’s strategic objectives.
• Gather and synthesize stakeholder requirements into clear problem statements, business impact, and success metrics.
• Own and maintain a prioritized ML/AI product roadmap, aligning it with company goals, resource availability, and technical constraints.
• Partner closely with the Director of ML/AI to transform product requirements into robust, scalable, and efficient ML pipelines.
• Communicate product requirements, user stories, and acceptance criteria to engineering teams; ensure clarity of priorities and iterative delivery.
• Define KPIs and success metrics for ML/AI solutions, analyzing performance data to derive actionable insights.
• Stay current with the latest trends in machine learning, AI research, and MLOps best practices.
• Serve as an internal ambassador for ML/AI, presenting product updates and vision statements to cross-functional teams.

Requirements

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 5–7+ years of product management experience, ideally focusing on data or AI/ML products.
• Familiarity with machine learning pipelines, model lifecycle management, and popular ML frameworks (e.g., TensorFlow, PyTorch).
• Understanding of cloud computing platforms (AWS preferred), containerization (Docker/Kubernetes), and modern data stacks.
• Track record of delivering data/AI-based products from concept to launch, with clear metrics for success.

Nice to Have

• Experience in gaming, sports betting, or entertainment industries, focusing on personalization, fraud detection, or predictive analytics use cases.
• Familiarity with training and fine-tuning large-scale foundation models (GPT, BERT, etc.) for various applications.
• Background in MLOps practices (e.g., MLflow, Airflow, Spark).

What We Offer

• Competitive salary in the range of $140,000 - $180,000.
• Remote work flexibility with a global team.
• Opportunities for professional growth and development.
• Work in a dynamic and innovative environment.
• Engage with cutting-edge technologies and methodologies.