Supply Manager

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.