EveryMatrix

Product Manager

• Strategy execution — Translate the CPTO’s product strategy into clear priorities, product plans, and delivery outcomes.
• Roadmap ownership — Own the roadmap across CRM, communications, integrations, and analytics, ensuring alignment with strategic goals and operator needs.
• Internal CRM leadership — Own the evolution of segmentation, orchestration, real-time logic, and player-state understanding as core platform capabilities.
• Omnichannel communications — Lead product direction for email, SMS, push, onsite messaging, inbox, and emerging channels as part of the platform.
• Third‑party CRM partnership — Act as the primary product owner for external CRM providers, ensuring smooth integrations and consistent value delivery to operators.
• Insights & analytics products — Own operator dashboards and player‑level intelligence tools that support decision‑making across the platform.
• AI‑first product development — Embed AI into CRM, comms, and insights to improve efficiency, reduce errors, and unlock new capabilities; evaluate and integrate AI technologies that strengthen the platform.
• Cross‑functional alignment — Work with the Head of Engineering to align architecture, delivery plans, and technical constraints.
• Compliance‑safe product design — Ensure responsible play, regulatory rules, and data‑privacy requirements are embedded in all product decisions.
• Product process excellence — Maintain strong discovery, prioritisation, experimentation, and measurement practices.
• Team leadership — Coach and develop Product Managers and Designers into a high‑performing, autonomous team.

Head of Product

Director

• Define and execute the division’s technology roadmap, with a strong emphasis on AI, ML, and data platforms.
• Drive innovation in AI-powered customer capabilities (e.g., personalization, predictive analytics, automation).
• Evaluate and integrate emerging technologies (LLMs, generative AI, real-time decisioning systems) into the product ecosystem.
• Own the architecture, scalability, and reliability of the AI-driven customer platform.
• Ensure high availability, performance, and accuracy of ML models in production.
• Lead cross-functional teams across engineering, data science, and ML engineering.
• Establish best practices for AI development, including model validation, monitoring, and retraining.
• Oversee production environments, ensuring resilience, uptime, and efficient incident management.
• Ensure compliance with data privacy regulations and AI governance standards.
• Build and scale high-performing teams in engineering, AI, and data.
• Collaborate closely with Group CTO, other divisions, and shared services.

Head of Product

Technology Director