This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

We’re hiring a Senior Project Manager to help us build the future of iGaming.

Qualifications

• English proficiency at B2 (Upper-Intermediate) level or higher.
• Minimum 3 years of proven project management experience.
• Hands-on experience with project management tools (Jira, Confluence).
• Solid understanding of CRISP-DM, Agile, Scrum, Kanban, and Waterfall practices.
• Familiarity with MLOps principles is a strong plus.
• Ability to lead, motivate, and guide cross-functional teams.
• Understanding of fundamental AI/ML concepts (e.g., classification, regression, Generative AI) and the data science lifecycle.
• Ability to translate complex technical ML jargon into business value for stakeholders.
• Skilled in task delegation, team dynamics management, and conflict resolution.
• Excellent written and verbal communication skills for effective collaboration with stakeholders, partners, and team members.
• Strong ability to analyze project data, identify risks, and make informed decisions.
• Exceptional organizational and time-management skills.
• Proactive in resolving issues and making sound decisions under pressure.
• Comfortable working with cross-functional, distributed, and cross-team environments.

Requirements

• Own end-to-end project delivery - from initiation through to production release.
• Define project scope (backoffice systems, reporting system, operator management, and compliance requirements), goals, data requirements, and deliverables.
• Ensure alignment on model success criteria (e.g., accuracy, latency, ROI) alongside standard business objective and compliance requirements.
• Develop and maintain a detailed project plan that accommodates the iterative and often uncertain nature of the ML lifecycle.
• Organize and lead project ceremonies (daily stand-ups, sprint reviews, retrospectives) to ensure progress and transparency.
• Track team performance and provide sprint reporting to stakeholders (Product, CTO, PM, BA, IT and others) for transparency and continuous improvement.
• Track project performance through KPIs, proactively addressing risks, blockers, and deviations from the plan.
• Facilitate effective communication and collaboration between AI Engineers, product, design, business analysts, IT, development, QA and release teams, third-party vendors, and cross-functional departments.
• Motivate, coach, and support team members, fostering a collaborative and high-performing environment.
• Resolve conflicts and issues within the team to maintain delivery focus.
• Provide stakeholders with regular updates on project progress, risks, and key milestones.
• Identify potential risks early and implement contingency plans where necessary.
• Ensure the quality of deliverables by defining and enforcing appropriate standards and processes.
• Manage changes to scope and schedule through a structured change control process.
• Conduct post-project reviews to capture lessons learned and drive continuous improvement.
• Monitor AI-Specific Risks & KPIs. Track post-production AI performance, proactively addressing AI-specific risks such as data drift, model degradation, bias.

Benefits

• Generous paid time off: Enjoy 26 business days of paid vacation annually, plus 7 days off.
• Top-tier equipment: We provide and deliver all necessary corporate hardware.
• Health & wellness support: Medical insurance.
• Celebrating your moments: We recognize and celebrate your birthdays and work anniversaries with thoughtful gifts.
• Global team events: Twice a year we host unforgettable corporate events in exciting cities.