Infra Deployment TPM for AI Hardware & Cloud

Google LLC

Sunnyvale (CA)

Presencial

USD 192.000 - 278.000

Jornada completa

Hace 2 días
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Descripción de la vacante

Google is seeking a Technical Program Manager for Infrastructure Deployment Software in Sunnyvale, CA. You will lead cross-disciplinary engineering programs, plan requirements with internal customers, and shepherd projects through the full lifecycle.

You will communicate risks to stakeholders and guide technical trade-offs with engineers, while identifying future opportunities and improving processes across AI infrastructure.

Formación

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 8 years of experience in program management.
  • Experience with launching NPI products in the ML, Compute, Networking, and Infrastructure areas.
  • Experience in product management, software engineering, hardware engineering, and computer hardware.

Responsabilidades

  • Drive roadmap planning, milestone definition, resource allocation, and risk management across multi-quarter programs.
  • Build clear reporting rhythms, tracking deliverables, dependencies, and capacity risks for leadership.
  • Translate technical constraints and design choices into business narratives for stakeholders.
  • Identify bottlenecks, promote scalable delivery frameworks, and prioritize features for reliability and velocity.
  • Drive quality and efficiency, catalyzing program support and delivery.

Conocimientos

Program management
NPI product launches
Cross-functional coordination
Domain experience (product/software/hw

Educación

Bachelor's degree in a technical field

Descripción del empleo

Google is seeking a Technical Program Manager for Infrastructure Deployment Software in Sunnyvale, CA. You will lead cross-disciplinary engineering programs, plan requirements with internal customers, and shepherd projects through the full lifecycle.

You will communicate risks to stakeholders and guide technical trade-offs with engineers, while identifying future opportunities and improving processes across AI infrastructure.

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