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Principal Technical Program Manager, Network Delivery Engineering

Google
Atlanta, USA
Senior · 15+ years experience
Onsite
USD 240000-333000 / year
Discovered 2 days ago

Full Job Posting

Responsibilities

  • Apply systems thinking to map and re-engineer the end-to-end network delivery value stream across data centers, AI/ML fabrics, and WAN, unifying hardware design, planning, supply chain, software, and field execution.
  • Lead high-impact transformations using process engineering methodologies (e.g., Lean/Six Sigma) to compress Concept-to-GA cycle times, eliminating manual handoffs and systemic rework.
  • Re-architect onboarding for next-generation hardware, optical interconnects, and SDN software, embedding zero-touch automation and testability upstream into design phases (EVT/DVT/PVT).
  • Partner with engineering teams to translate processes into automated workflows and AI-enabled guardrails, while defining metrics and feedback loops to predict delivery risks and drive root-cause elimination.
  • Serve as an Executive Staff Advisor, resolving high-ambiguity technical deadlocks across Platform Engineering, Supply Chain, and Global Operations at the VP/Director level.

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 10 years of experience in program management.
  • Experience in technical program management or process engineering for physical products, hardware systems, network/data center infrastructure, or manufacturing/supply chain operations.

Preferred qualifications:

  • Master's degree or PhD in Engineering, Operations Research, or a related technical field.
  • 15 years of experience architecting hyperscale network deployment, hardware/software integration, or supply chain delivery systems.
  • Experience at a Principal (Senior Staff) level, synthesizing ambiguous, cross-organizational challenges into actionable roadmaps and influencing VP/Director-level stakeholders.
  • Deep expertise in systems thinking, with a proven ability to redesign complex, interdependent workflows to eliminate systemic bottlenecks and failure modes.
  • Track record of achieving step-function improvements (e.g., cycle-time reduction) in hyperscale data center or global telecom environments.

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