Group Product Manager, Data Center Software and Operations

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

As the Product Management Lead for Data Center Software (DCSW) and Operations, you will lead and mentor a team of Product Manager's building the foundational platforms that deploy, operate, and scale Google’s planet-scale compute and AI fleet, partnering across 300+ engineers in Platforms Infrastructure Engineering, Global Data Center Operations, SRE, and Cloud.

In this role, you will deliver intelligent software and operations platforms that power Google’s planet-scale data center fleet accelerating capacity from dock to quota while maximizing uptime, power utilization, and operational efficiency.

As a part of the Data Center Software Product team, you will build the foundational software and operations platforms that power Google’s planet-scale data centers. You will sit at the intersection of AI and Compute Enablement, Platforms Infrastructure Engineering, and Global Data Center Operations, manage the end-to-end life-cycle of Google’s compute, ML accelerator (TPU/GPU), network, power, and cooling infrastructure, from hardware onboarding and dock-to-quota deployment to automated repairs, maintenance, and decommissioning.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

• 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 Engineer (SRE) accelerating dock-to-quota capacity, ensuring machine avaialbility with optimized Mean Time To Repair (MTTR) and improving power utilization.
• Modernize Talos and supporting sofware ecosystem into a unified, next-generation data center operations platform for technicians, DCOps, logistics, and SREs.
• Transform machine management operations (maintenance windows, drains, and Aurora automated repairs) to maximize TPU/GPU pod and VM uptime.
• Partner with DC Robotics PM and Engineering teams to integrate physical automation and robotics into DC workflows, enabling sub-linear operational growth at scale.
• Partner with DCIM Engineering to set up an AI-first development model, shipping agentic workflows and AI diagnostics with measurable progress.

• 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 (e.g., ideation to execution, end-to-end, 0 to 1, etc).
• 5 years of experience developing or launching infrastructure products or technologies within networking, storage, compute hardware, databases, file systems, data analytics, cluster management, and other software infrastructure areas.
• 5 years of experience in people management, with technical leadership.

• Experience partnering with engineering to adopt AI-first development practices (AI-assisted prototyping, agentic workflows, LLM-powered diagnostics) and delivering measurable operational impact.
• Experience defining customer-centric SLIs/SLOs and reducing planned/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 (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), translating various persona journeys (technicians, logistics, SREs) into intuitive, high-velocity workflows.