Principal Technical Program Manager - GPU Demand Planning

Responsibilities

• Develop, iterate, and maintain end to end long-range demand planning models at the customer, initiative, SKU, and geo level.
• Bridge executive leadership, sales, and engineering to map customer requirements to datacenter capacity, requiring deep knowledge of GPU infrastructure, networking, and supply chain logistics.
• Build demand plans based on strategic goals, business trends, and inputs from stakeholders.
• Interact with engineering, customer management, product management, networking, datacenter, and finance to understand demand requirements.
• Socialize demand plans with senior leaders in capacity planning and operations, supply chain, engineering, customer management, and finance to achieve alignment.
• Identify demand forecast risks and develop prioritized, effective, flexible, and durable mitigation strategies.
• Facilitate healthy balance between long range planning and short-term execution.
• Understand end to end supply chain flow to help ensure customer demand is met.
• Collaborate with product management to understand product lifecycle, transition, and how that impacts forecasting.
• Provide direct inputs and analysis of demand data to management, finance, and operational teams in creating and maintaining the corporate S&OP process.
• Develop routine and ad-hoc demand analyses and reports for senior management.
• Maintain demand planning review processes to improve forecast accuracy.

Qualifications

• Bachelor’s degree in Business Administration, Supply Chain Management, Engineering or related fields.
• Requires 7+ years in large-scale AI/ML datacenter capacity planning and project management.
• Extensive experience in developing demand plans and forecasts for new and existing products.
• Understand impact of revenue goals, customer usage, overhead and buffer, data center space and power availability on capacity management.
• Experienced with forecasting and demand planning for server storage and networking.
• Advanced in Excel modeling and building complex forecasting models with multiple inputs to drive recommendations and decisions.
• Experienced with infrastructure hardware, memory, CPU, JBoDs, servers, etc.
• Ability to read and interpret product BOM and documentation.