Technical Program Manager, ML Fleet Planning and Operations

About the Job

As a Technical Program Manager, ML Fleet Planning and Operations at Google, you will leverage your technical expertise to spearhead complex, multi-disciplinary projects from inception to completion. You'll collaborate with various stakeholders to define requirements, identify potential risks, meticulously manage project schedules, and ensure transparent communication with cross-functional partners across the company. You are adept at presenting your team's analyses and recommendations to executives while also engaging in detailed technical discussions on product development tradeoffs with engineers.

The ML Fleet Demand Planning team serves as the authoritative source for Machine Learning (ML) infrastructure demand forecasting and allocation. This enables proactive, data-driven decisions that maximize the return on investment for Alphabet's AI Accelerators and their supporting auxiliary resources. Our ambition is to establish industry-leading planning methodologies that are adaptable, transparent, and seamlessly integrated across the entire ML Fleet ecosystem.

Responsibilities

• Drive demand planning and forecasting for the rapidly evolving needs of Google's ML infrastructure.
• Develop and maintain sophisticated demand models, analyzing trends, and collaborating with a wide array of stakeholders across Product Areas (PAs), research, and engineering to gather inputs and validate assumptions.
• Influence multi-billion dollar investment decisions, ensuring that Google's capacity planning and supply chain strategies are perfectly aligned with its overarching AI objectives.
• Organize and lead new workstreams, processes, and automation initiatives necessary to scale operations globally.
• Work cross-functionally to effectively communicate demand details and insights, drive continuous improvements in demand processes, and create first-class documentation.

Minimum Qualifications

• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in program management.

Preferred Qualifications

• Experience with data center, network, or machine learning infrastructure planning and deployment.
• Ability to identify, break down, and solve ambiguous processes and technical problems that span across many teams and organizations.
• Excellent communication and presentation skills, with the ability to represent projects from business, product, and technical perspectives to the highest levels of the company.

Benefits Package

Google offers a comprehensive benefits package to all eligible US-based employees. Highlights include:

• Health, dental, vision, life, and disability insurance.
• Retirement Benefits: 401(k) with company match.
• Paid Time Off: 20 days of vacation per year, accruing at 6.15 hours per pay period for the first five years.
• Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary).
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks.
• Baby Bonding Leave: 18 weeks.
• Holidays: 13 paid days per year.

Key Skills/Competency

• Program Management
• Machine Learning Infrastructure
• Demand Forecasting
• Capacity Planning
• Stakeholder Management
• Data Analysis
• Process Improvement
• Cross-functional Collaboration
• Technical Leadership
• Strategic Planning