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Ad title:
Middle+/Senior Project Manager - AI Team
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Spribe
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Published: 10 March
/ Deadline: 10 April
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SPRIBE is an innovative B2B iGaming software developer reshaping the industry with cutting-edge technology and a forward-thinking approach to game design. The company pioneered the crash-game format with its flagship title Aviator, setting a new standard in player engagement and paving the way for a wave of non-traditional content. With over 62+ million monthly active players, SPRIBE is now the most influential company in the market. Alongside Aviator, SPRIBE builds forward-thinking solutions like the Broadway Platform, enabling operators to launch and scale with exceptional speed and efficiency.
Strategic global partnerships with iconic brands such as UFC, WWE, and AC Milan, along with a roster of 12 global brand ambassadors, reflect the company`s bold vision for international growth and its commitment to expanding its presence across worldwide markets.
We`re hiring an Senior Project Manager to help us build the future of iGaming.
Requirements
** Language: English proficiency at B2 (Upper-Intermediate) level or higher.
** Experience: Minimum 3 years of proven project management experience.
** Tools: Hands-on experience with project management tools (Jira, Confluence).
** Methodologies: Solid understanding of CRISP-DM, Agile, Scrum, Kanban, and Waterfall practices. Familiarity with MLOps principles is a strong plus.
** Leadership: Ability to lead, motivate, and guide cross-functional teams.
** AI & Data: 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.
** Team Management: Skilled in task delegation, team dynamics management, and conflict resolution.
** Communication: Excellent written and verbal communication skills for effective collaboration with stakeholders, partners, and team members.
** Analytical Skills: Strong ability to analyze project data, identify risks, and make informed decisions.
** Organization: Exceptional organizational and time-management skills.
** Problem-Solving: Proactive in resolving issues and making sound decisions under pressure.
** Collaboration: Comfortable working with cross-functional, distributed, and cross-team environments, fostering alignment and effective cooperation across different groups.
Responsibilities:
** 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 (data collection, cleaning, exploratory data analysis, model training, evaluation, and deployment) covering timelines and resource allocation.
** Organize and lead project ceremonies (daily stand-ups, sprint reviews, retrospectives) to ensure progress and transparency. Coordination with cross-functional product teams and vendors.
** 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.
Would be a plus:
** Managing AI, ML or data-intensive projects.
** Previous technical background (e.g., AI/ML Engineer, Data Scientist, QA Engineer, Developer, Business Analyst) enabling better understanding of technical challenges and smoother communication with engineering teams.
** Experience in a product company or iGaming industry.
** Basic understanding of microservice architecture.
** Experience managing senior-level teams without a dedicated Technical Lead, ensuring delivery ownership and technical alignment.
Work conditions:
Why join SPRIBE
** Generous paid time off - Enjoy 26 business days of paid vacation annually, plus 7 days off— because we value your well-being and work-life balance.
** Top-tier equipment - We provide and deliver all necessary corporate hardware so you can start strong from day one.
** Health & wellness support
** Our benefits catalog lets you choose what matters most: Medical insurance
** Celebrating your moments - We recognize and celebrate your birthdays and work anniversaries with thoughtful gifts — because your milestones matter.
** Global team events - Twice a year we host unforgettable corporate events in some of the world`s most exciting cities — a unique blend of team spirit and adventure.
Apply here: https://spribe.hurma.work/public-vacancies/227
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