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Middle+/Senior Project Manager (AI Team)
Location
United States + 171 moreAll locations: United States | Canada | Brazil | Colombia | Argentina | Chile | Venezuela | Bolivia | Ecuador | French Guiana | Guyana | Paraguay | Peru | Suriname | Uruguay | Mexico | Costa Rica | El Salvador | Guatemala | Honduras | Nicaragua | Panama | Dominican Republic | Puerto Rico | Bahamas | Guadeloupe | Haiti | Jamaica | Martinique | Montserrat | United Kingdom | Germany | France | Estonia | Portugal | Hungary | Poland | Ukraine | Romania | Bulgaria | Czechia | Slovakia | Belarus | Moldova | Sweden | Greece | Belgium | Italy | Ireland | Switzerland | Netherlands | Finland | Malta | Denmark | Lithuania | Croatia | Spain | Austria | Bosnia And Herzegovina | Iceland | Luxembourg | North Macedonia | Montenegro | Norway | Serbia | Slovenia | Albania | Cyprus | Latvia | Monaco | South Africa | Egypt | Algeria | Angola | Benin | Botswana | Burkina Faso | Burundi | Cameroon | Cabo Verde | Central African Republic | Chad | Congo | Côte D'ivoire | Democratic Republic of the Congo | Equatorial Guinea | Eritrea | Ethiopia | Gabon | Gambia | Ghana | Guinea | Guinea-bissau | Kenya | Lesotho | Liberia | Libya | Madagascar | Malawi | Mali | Mauritania | Mauritius | Mayotte | Morocco | Mozambique | Namibia | Niger | Nigeria | Réunion | Rwanda | Senegal | Seychelles | Sierra Leone | Somalia | Sudan | Eswatini | Tanzania | Togo | Tunisia | Uganda | Zambia | Zimbabwe | Georgia | Turkey | Israel | United Arab Emirates | Armenia | Azerbaijan | Bahrain | Iraq | Jordan | Kuwait | Lebanon | Oman | Qatar | Saudi Arabia | Palestine | Yemen | India | Japan | Philippines | Pakistan | Thailand | Singapore | Vietnam | Taiwan | Indonesia | Cambodia | Laos | Malaysia | Myanmar | South Korea | China | Afghanistan | Bangladesh | Bhutan | Kazakhstan | Kyrgyzstan | Maldives | Mongolia | Nepal | Sri Lanka | Tajikistan | Turkmenistan | Uzbekistan | Australia | Papua New Guinea | Kiribati | Palau | French Polynesia | Tuvalu | New Zealand
Posted
97 days ago
Salary
0
Job Description
Middle+/Senior Project Manager (AI Team)
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.
Job Requirements
- 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.
- 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.
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