AI Product Owner
Digitain is looking for an experienced and forward-thinking AI Product Owner to join its AI Lab and drive the development of next-generation Artificial Intelligence solutions across its iGaming ecosystem. The AI Product Owner acts as the bridge between business stakeholders, data scientists, machine learning engineers, software development teams, and product leaders to transform AI opportunities into scalable products that generate measurable business value.
This role requires a combination of product management expertise, data-driven decision making, AI/ML understanding, and strong stakeholder management skills. The successful candidate owns the AI product roadmap, prioritises initiatives, defines requirements, and ensures the successful delivery of AI-powered products that enhance customer experience, operational efficiency, responsible gaming, fraud prevention, CRM effectiveness, and business intelligence.
- Define and maintain the AI Lab product roadmap aligned with company objectives and strategic priorities.
- Identify and evaluate AI opportunities across sportsbook, casino, CRM, payments, fraud detection, risk management, customer support, and responsible gaming.
- Translate business challenges into AI product initiatives with measurable KPIs and ROI expectations.
- Conduct market research and competitive analysis on AI adoption within the iGaming industry.
- Build business cases for new AI solutions and prioritise initiatives based on impact, feasibility, and strategic value.
- Own the end-to-end lifecycle of AI products from ideation through deployment and continuous improvement.
- Create and manage product backlogs, user stories, acceptance criteria, and release plans.
- Work closely with Data Science, MLOps, Engineering, UX, and Business teams to ensure successful delivery.
- Prioritise features and experiments based on business objectives and data-driven insights.
- Define MVPs and phased delivery strategies for AI products.
- Collaborate with data scientists and ML engineers to understand model capabilities, limitations, and performance metrics.
- Define requirements for machine learning models, data pipelines, and AI-driven workflows.
- Ensure AI solutions are aligned with operational, compliance, and business requirements.
- Participate in model evaluation, validation, and production readiness reviews.
- Support MLOps and model governance processes.
- Act as the primary liaison between business stakeholders and technical AI teams.
- Gather requirements from executive leadership, product teams, operations, marketing, CRM, trading, and compliance departments.
- Present product vision, roadmap updates, and performance metrics to senior management.
- Facilitate workshops and discovery sessions to identify new AI use cases.
- Define product success metrics and monitor AI product performance.
- Measure model impact through business KPIs, including revenue uplift, customer retention, churn reduction, fraud prevention effectiveness, responsible gaming outcomes, and operational efficiency improvements.
- Drive continuous optimisation through experimentation and A/B testing.
- Bachelor's degree in Computer Science, Data Science, Engineering, Business Analytics, Mathematics, Economics, or a related field (required).
- Master's degree (preferred).
- 4+ years of Product Management or Product Ownership experience (required).
- 2+ years working directly with AI, Machine Learning, Data Science, or Analytics teams (required).
- Experience managing technical products with complex data and software components (required).
- Experience working in Agile/Scrum environments (required).
- Experience in iGaming, Sports Betting, FinTech, AdTech, or highly data-driven industries (preferred).
- Strong understanding of Machine Learning concepts (required).
- Strong understanding of Predictive analytics (required).
- Strong understanding of Recommendation systems (required).
- Strong understanding of Classification and regression models (required).
- Strong understanding of Generative AI and LLMs (required).
- Strong understanding of MLOps concepts (required).
- Strong understanding of Data warehousing and analytics platforms (required).
- Strong understanding of API-based product architectures (required).
- Strong understanding of Experimentation and A/B testing methodologies (required).
Digitain is a business-to-business provider of sportsbook and iGaming platform software, headquartered in Yerevan, Armenia. Founded in 1999, it offers a turnkey and standalone platform spanning sports betting, online and live casino, and games, alongside managed services for operators across regulated and emerging markets. Its portfolio includes the Imagine Live live-casino studios and the Galaxsys games studio, and the group employs a large engineering and operations workforce.