G

Google

Runs Search and YouTube and builds Gemini AI

Group Product Manager - Data Center Software and Operations

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent practical experience.
  • At least 10 years of experience in technical Product Management or related technical leadership roles building and scaling software platforms or infrastructure products.
  • At least 5 years of experience taking technical products from conception to launch, such as through ideation to execution, end-to-end delivery, or 0-to-1 development.
  • At least 5 years of experience developing or launching infrastructure products or technologies in networking, storage, compute hardware, databases, file systems, data analytics, cluster management, or other software infrastructure areas.
  • At least 5 years of experience in people management, with technical leadership.

Responsibilities

  • Manage a team of Product Managers and own the Data Center Software product strategy and roadmap across PIE, Data Center Operations, Google Compute Engine, and Site Reliability Engineering, accelerating dock-to-quota capacity, ensuring machine availability with optimized Mean Time To Repair, and improving power utilization.
  • Modernize Talos and its supporting software ecosystem into a unified, next-generation data center operations platform for technicians, Data Center Operations, logistics, and Site Reliability Engineering teams.
  • Transform machine management operations, including maintenance windows, drains, and Aurora automated repairs, to maximize TPU/GPU pod and virtual machine uptime.
  • Partner with Data Center Robotics Product Management and Engineering teams to integrate physical automation and robotics into data center workflows, enabling sub-linear operational growth at scale.
  • Partner with Data Center Infrastructure Management Engineering to establish an AI-first development model, shipping agentic workflows and AI diagnostics with measurable progress.
  • Lead and mentor a team of Product Managers building foundational platforms to deploy, operate, and scale Google's compute and AI fleet, partnering across more than 300 engineers in Platforms Infrastructure Engineering, Global Data Center Operations, Site Reliability Engineering, and Cloud.
  • Deliver intelligent software and operations platforms for Google's data center fleet, accelerating capacity from dock to quota while maximizing uptime, power utilization, and operational efficiency.
  • Manage the end-to-end lifecycle of compute, machine-learning accelerator (TPU/GPU), network, power, and cooling infrastructure, from hardware onboarding and dock-to-quota deployment through automated repairs, maintenance, and decommissioning.
  • Guide products from conception to launch by connecting technical and business considerations, breaking down complex problems into steps that drive product development, and guiding products through execution, including analysis, positioning, packaging, promotion, and tailoring solutions to users.

Desired Qualifications

  • Experience partnering with engineering teams to adopt AI-first development practices, including AI-assisted prototyping, agentic workflows, and large language model-powered diagnostics, and delivering measurable operational impact.
  • Experience defining customer-centric service-level indicators and service-level objectives and reducing planned and unplanned downtime across mission-critical cloud or machine-learning fleets.
  • Experience integrating software orchestration with physical operations, supply chain workflows, or robotics to drive sub-linear operational scaling.
  • Deep familiarity with hyperscale data center infrastructure, including compute, TPU/GPU accelerators, networking, power, and cooling; fleet management; or Google's Technical Infrastructure, including PIE, GCE, and CSCO.
  • A proven track record of modernizing complex enterprise or field-operations platforms similar to Talos and translating technician, logistics, and Site Reliability Engineering user journeys into intuitive, high-velocity workflows.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

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