Description SPRIBE

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.