Group Product Manager, Data Center Software and Operations

Google•Sunnyvale, CA

7h•$240,000 - $333,000

About The Position

At Google, Product Managers guide products from conception to launch by connecting technical and business needs and breaking complex problems into steps that drive product development. The Product Management team works collaboratively with engineers, designers, marketers, and others to design and develop technologies that improve access to information, guiding products through execution and focusing on analysis, positioning, packaging, promotion, and tailoring solutions to users. As Product Management Lead for Data Center Software (DCSW) and Operations, you will lead and mentor Product Managers building foundational platforms for deploying, operating, and scaling Google’s planet-scale compute and AI fleet. You will partner with more than 300 engineers across Platforms Infrastructure Engineering, Global Data Center Operations, SRE, and Cloud. The role delivers software and operations platforms intended to accelerate capacity from dock to quota while maximizing uptime, power utilization, and operational efficiency. You will manage the end-to-end lifecycle of Google’s compute, ML accelerator (TPU/GPU), network, power, and cooling infrastructure. This includes hardware onboarding, dock-to-quota deployment, automated repairs, maintenance, and decommissioning. The work sits at the intersection of AI and Compute Enablement, Platforms Infrastructure Engineering, and Global Data Center Operations. Google Cloud provides enterprise-grade solutions built on Google technology to help organizations digitally transform and developers build more sustainably. Customers in more than 200 countries and territories use Google Cloud to support growth and address critical business problems. Individual pay is determined by job-related skills, experience, and relevant education or training. The listed U.S. compensation is $240,000–$333,000, plus a 25% bonus target, equity, and benefits.

Requirements

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

Nice To Haves

Experience partnering with engineering to adopt AI-first development practices, including AI-assisted prototyping, agentic workflows, and LLM-powered diagnostics, and delivering measurable operational impact.
Experience defining customer-centric SLIs/SLOs and reducing planned or unplanned downtime across mission-critical cloud or ML 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/cooling, fleet management, or Google’s Technical Infrastructure (PIE, GCE, CSCO).
Proven track record of modernizing complex enterprise or field-operations platforms similar to Talos and translating the journeys of technicians, logistics teams, and SREs into intuitive, high-velocity workflows.

Responsibilities

Manage a team of Product Managers and own the Data Center Software product strategy and roadmap across PIE, Data Center Operations (DC Ops), Google Compute Engine (GCE), and Site Reliability Engineering (SRE), accelerating dock-to-quota capacity, ensuring machine availability with optimized Mean Time To Repair (MTTR), and improving power utilization.
Modernize Talos and its supporting software ecosystem into a unified, next-generation data center operations platform for technicians, DCOps, logistics, and SREs.
Transform machine management operations, including maintenance windows, drains, and Aurora automated repairs, to maximize TPU/GPU pod and VM uptime.
Partner with DC 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 DCIM Engineering to establish an AI-first development model and ship agentic workflows and AI diagnostics with measurable progress.