Supply Manager

Job summary

Plan and deploy resources across a large-scale AI training program, aligning contributor capacity with client demand and monitoring utilization, throughput, and operational risks. Maintain and improve resource tracking systems, lead process improvements, coordinate with stakeholders, and manage Supply Coordinators to support continuous operations.

Job details

Careerflow Human Data Labs partners with AI companies to bring real-world professional expertise into their products. About the role Own resource planning and deployment for a large-scale AI training program, managing 1,800+ contributors across multiple projects. You will align capacity with client demand, oversee resource tracking systems, identify supply risks, and lead a team of Supply Coordinators to ensure smooth 24/7 operations. Key Responsibilities * Make data-driven resource allocation and deployment decisions. * Forecast capacity gaps and guide recruiting and fulfillment teams. * Manage and improve centralized resource and throughput tracking systems. * Integrate data from recruiting, onboarding, performance, and project delivery. * Monitor utilization, throughput, and operational trends. * Identify bottlenecks and lead process improvements. * Collaborate with clients, Project Leads, PMO, and cross-functional teams. * Lead 1–3 Supply Coordinators and ensure operating coverage. Required Qualifications * Experience in large-scale operations or managed services, preferably AI training. * Hands-on experience with solutions architecture, systems integration, and workforce or resource management systems. * Strong analytical, decision-making, and communication skills. * Experience working with technical and business stakeholders. * Ability to manage fast-moving operations and work US Pacific Time hours. * AI training industry experience is preferred. Success Measures * Accurate and timely resource deployment. * Reduced turnaround time and capacity gaps. * Improved resource utilization and cross-skilling. * Strong stakeholder alignment and operational efficiency. Offer Details: 1. This is a project-based role involving a defined number of evaluation tasks. 2. Each task will involve comparing multiple chatbots and providing a final assessment. 3. Work Schedule: Five working days per week, including weekends as required, with two weekdays off. 4. Work Hours - 7am-4pm PST 5. Duration: 16 weeks.

What you’ll do

Plan and deploy resources across a large-scale AI training program, aligning contributor capacity with client demand and monitoring utilization, throughput, and operational risks. Maintain and improve resource tracking systems, lead process improvements, coordinate with stakeholders, and manage Supply Coordinators to support continuous operations.

Requirements

Candidates should have experience in large-scale operations or managed services, ideally in AI training, along with hands-on experience in solutions architecture, systems integration, and workforce or resource management systems. Strong analytical, decision-making, communication, and stakeholder collaboration skills are required, as is the ability to manage fast-moving operations during US Pacific Time hours.

Listed skills

• Data analysis · Preferred
• Team Leadership · Preferred
• Process Improvement · Preferred
• Stakeholder Management · Preferred
• Cross-Functional Collaboration · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Resource Planning
• Resource Allocation
• Capacity Forecasting
• Workforce Management
• Resource Management Systems
• Solutions Architecture
• Systems Integration
• Data Analysis
• Operational Tracking
• Process Improvement
• Risk Identification
• Stakeholder Management
• Team Leadership
• Cross-Functional Collaboration
• AI Training Operations
• Resource Deployment
• Operational Efficiency
• Talent Recruitment
• Project Delivery
• Decision Making
• Communication
• Managed Services
• Employee Onboarding
• Operations
• Solution Architecture
• Turnaround Time
• Chatbot
• Resource Utilization

Job areas

• Management & Leadership
• Logistics
• Data & Analytics
• Technology
• Supply Manager
• Unclassified Specialized Occupation

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