Staffing Plan

Executive Summary

This staffing plan outlines the team composition, expertise requirements, and cost structure for developing the HYROX computer vision-based squat tracking system from September 2025 to August 2026. The project requires specialized expertise in real-time computer vision, edge computing, and sports technology integration across 13 key roles.

The development will progress through five distinct phases (Alpha through Full Release), with team composition scaling based on project needs. The total estimated labor cost is \$3,075,000 over 52 weeks. This investment ensures we have the right expertise at each critical stage of development.

Our staffing strategy emphasizes early engagement of technical leadership, continuous quality assurance, and a phased approach that allows for risk mitigation and iterative improvement. The team structure supports both rapid prototyping in early phases and robust production deployment in later stages.

Roles

The project requires 13 specialized roles, each contributing critical expertise to different aspects of the system. These roles have been carefully selected to ensure comprehensive coverage of all technical, operational, and compliance requirements.

Strategist

The Strategist defines product vision and roadmap, aligning technology initiatives with business objectives and market opportunities. This role drives innovation throughout the project lifecycle, manages stakeholder expectations, and ensures the solution delivers measurable value to HYROX and its global community. The Strategist balances technical possibilities with business realities, creating a coherent strategy that guides development priorities and resource allocation. At \$9,500 per week, this position provides essential strategic leadership and business alignment.

Delivery Manager

The Delivery Manager ensures on-time delivery across all project phases, removing blockers and facilitating cross-functional collaboration between technical teams and stakeholders. This role tracks metrics, manages risks, and maintains project momentum while ensuring quality standards are met at every milestone. The manager coordinates sprint planning, facilitates retrospectives, and implements continuous improvement processes that enhance team productivity. At \$8,000 per week, this position drives execution excellence and operational efficiency.

Technical Lead

The Technical Lead is responsible for overall system architecture and technical vision, ensuring all components work together seamlessly across the entire platform. This position provides architectural governance and mentorship to the engineering team while serving as the primary technical liaison with HYROX stakeholders. The Technical Lead establishes coding standards, reviews critical design decisions, and ensures the system architecture can scale to support HYROX's global expansion plans. At \$11,000 per week, this role represents the senior-most technical position guiding the entire development effort.

Computer Vision Specialist

The Computer Vision Specialist drives the development of pose estimation algorithms and real-time motion tracking systems that form the core of the squat detection capability. This role is critical for achieving the required 95% accuracy in squat detection while handling complex scenarios like occlusion, lighting variations, and multi-athlete tracking. The specialist evaluates and implements state-of-the-art computer vision techniques, optimizes algorithms for real-time performance, and ensures robust operation across diverse venue conditions. This \$10,000 weekly position requires deep expertise in computer vision, pose estimation, and real-time video processing.

Full Stack Software Engineer

The Full Stack Software Engineer develops both backend systems and frontend interfaces that power the complete HYROX squat tracking ecosystem for judges, administrators, and event coordinators. This role combines API development, real-time data management, and intuitive user interface creation to deliver a seamless experience across all user touchpoints. The engineer builds responsive web applications, implements real-time communication systems, and ensures the platform scales efficiently to support multiple simultaneous events worldwide. At \$7,500 per week, this position requires expertise in modern web frameworks, API design, and user experience optimization.

Designer

The Designer creates intuitive user interfaces and compelling visual experiences that make complex tracking data accessible to judges and administrators. This role focuses on user-centered design principles, ensuring the system is easy to use under the pressure of live competition environments. The Designer develops comprehensive design systems, creates responsive layouts optimized for tablets, and ensures consistent branding across all touchpoints. At \$7,500 per week, this position combines UX research, visual design, and interaction design expertise.

Machine Learning Engineer

The Machine Learning Engineer focuses on model training, optimization, and deployment strategies to ensure the AI systems perform accurately and efficiently in production environments. This role ensures models are properly trained on diverse datasets, validated against rigorous testing protocols, and optimized for edge deployment while maintaining accuracy targets. The engineer implements continuous learning pipelines, manages training data quality, and optimizes models for the specific hardware constraints of edge computing devices. At \$9,000 per week, this role balances research capabilities with practical deployment experience.

Edge Computing Engineer

The Edge Computing Engineer specializes in deploying and optimizing the system on edge hardware platforms like NVIDIA Jetson to meet the demanding sub-200ms latency requirements. This role is crucial for achieving real-time performance while managing the resource constraints inherent in edge computing environments, including power consumption and thermal management. The engineer optimizes inference pipelines, implements efficient data processing workflows, and ensures the system maintains performance under the varying conditions of live events. This \$8,500 weekly position requires expertise in embedded systems, performance optimization, and edge AI deployment.

Platform Engineer

The Platform Engineer builds and maintains the infrastructure platform that enables development teams to deploy, monitor, and scale the system globally with reliability and efficiency. This role focuses on creating self-service infrastructure, automation tooling, and reliability engineering practices to support deployments across 60+ countries. The engineer implements CI/CD pipelines, monitoring systems, and disaster recovery procedures to ensure 99.9% uptime during critical competition events. This \$8,500 weekly position combines DevOps expertise with infrastructure automation and reliability engineering.

QA Engineer

The QA Engineer establishes comprehensive testing strategies and ensures system quality across all components, from individual algorithms to complete end-to-end workflows. This role validates accuracy, performance, and reliability through systematic testing protocols that simulate real-world competition conditions. The engineer develops automated testing frameworks, establishes quality metrics, and implements continuous validation processes that maintain system reliability as it evolves. At \$7,000 per week, this position requires expertise in test automation, performance testing, and quality assurance methodologies.

Hardware Engineer

The Hardware Engineer handles camera selection, mounting solutions, and field deployment procedures to ensure reliable operation across diverse venue configurations and environmental conditions. This role ensures hardware is properly configured, maintained, and optimized for varying venue layouts and operational requirements across global deployments. The engineer develops standardized deployment kits, creates installation procedures, and establishes maintenance protocols that enable consistent setup by local event staff. This \$8,500 weekly position requires expertise in computer vision hardware, mechanical engineering, and field deployment logistics.

Compliance Specialist

The Compliance Specialist ensures the system meets all privacy, data protection, and regulatory requirements across operating regions, navigating the complex landscape of international data protection laws. This role is critical for international deployment and athlete data protection, ensuring GDPR compliance in Europe and meeting emerging privacy regulations worldwide. The specialist develops privacy-by-design architectures, establishes data governance policies, and coordinates with legal teams to ensure compliant operations. At \$8,000 per week, this position requires expertise in international privacy law, data protection regulations, and compliance program development.

Data Engineer

The Data Engineer designs and implements scalable data pipelines that handle real-time processing and analytics for athlete performance tracking. This role creates robust data architectures that support both real-time decision making and historical analysis, enabling insights that improve athlete experience and system performance. The engineer implements streaming data processing, builds analytics infrastructure, and ensures data quality throughout the pipeline. At \$8,500 per week, this position requires expertise in data architecture, real-time processing, and scalable analytics systems.

Staffing Documents

• Staffing Plan - Detailed phase-by-phase team allocation
• RACI Matrix - Clear responsibility assignments across all roles
• Individual Role Descriptions - Comprehensive details for each position

Budget Summary

Phase	Duration	Weekly Cost	Total Cost
Alpha	10 weeks	\$35,275	\$352,750
Beta	12 weeks	\$66,125	\$793,500
Gamma	8 weeks	\$83,375	\$667,000
Delta	10 weeks	\$74,125	\$741,250
Full Release	12 weeks	\$43,375	\$520,500
Total	52 weeks	-	\$3,075,000

Key Considerations

Specialized Expertise: The project requires highly specialized skills in computer vision, edge computing, and real-time systems that command premium rates in the current market.

Phased Engagement: Team members are brought in based on project phase requirements, optimizing resource utilization while ensuring critical expertise is available when needed.

Knowledge Transfer: Overlap periods between phases ensure smooth knowledge transfer and maintain project continuity as team composition evolves.

Global Deployment: The staffing plan accounts for the complexities of deploying across 60+ countries with varying technical infrastructure and regulatory requirements.