Senior Technical Program Manager, Network Infrastructure and Capacity Planning

About the role

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company.

Responsibilities

• Drive transition to intention-based planning and own WAN Core and Campus PORs by building AI agents to automate repetitive tasks.
• Employ AI models to translate Product Area/Cloud demands into L3 requirements, partnering with engineering to automate L3-to-L1 mapping for auto-validated, rejection-free plans.
• Embed modular Agentic Skills into planning pipelines to align PORs with Network Supply Plans (Geo-Expansion, Stockouts), bypassing legacy manual UI bottlenecks.
• Design next-generation planning pipelines (e.g., Goa) and track key performance metrics (throughput, SLA adherence) to proactively identify and eliminate operational bottlenecks.
• Serve as the primary liaison between Network Planning, GND, GNS, and business stakeholders to resolve ambiguities, set our technical strategy, and align network automation efforts.

Requirements

• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in technical program management with a focus on network infrastructure, network capacity planning, or WAN/Campus network design.

Preferred qualifications

• Experience directing cross-functional network planning and managing the lifecycle of ML/Large Language Model (LLM) systems.
• Agentic skills and automated workflows.
• Ability to analyze complex datasets, critically evaluate AI model outputs, and assess the financial impact of automated network expansions.
• Ability to prioritize deliverables and validate automated processes rather than manual ones within rapid, iterative weekly/monthly cycles.
• Meticulous attention to detail in auditing AI-generated network topologies, ensuring strict compliance with responsible AI principles.

Benefits

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits

Pay

US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits

Schedule

Not specified