Group Product Manager, High Performance Computing, Inbound, AI and Computing Infrastructure

The Google Cloud High Performance Computing (HPC) team builds, launches, and lands exceptional accelerated computing infrastructure and solutions for supercomputing workloads on Google Cloud Platform (GCP). We partner with core engineering teams across Cloud (including Compute, Storage, Networking, GKE) and broader Google (such as Core ML, Google Research, and Google DeepMind) to deliver exceptional software, hardware, and solution stacks.

The HPC Product Management team is the bridge between customer technical requirements and our engineering and solutions development teams. Our mission is to define, prioritize, and deliver the core technical solution capabilities, reference architectures, and blueprints that empower our customers to run complex, scale-out workloads seamlessly on Google Cloud.

As a Product Manager for High Performance Computing (HPC), Inbound, at Google Cloud, you will serve as a critical bridge between customer technical requirements and our engineering and solutions development teams. You will define, prioritize, and deliver the core technical solution capabilities, reference architectures, and blueprints that empower our worldwide customers to run complex, scale-out workloads seamlessly on Google Cloud. These workloads range from massive simulations used in design and manufacturing, molecular dynamics in life sciences, risk assessment and valuation in financial services, high-resolution analysis for weather and climate forecasting, seismic analysis for geophysics, and many more.

You will directly influence core Google Cloud services (compute, networking, storage, orchestration) to optimize them for advanced computing workloads across industry verticals, while driving innovation in future technologies like TPUs for accelerated computing, converged AI/HPC solutions, and quantum computing.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge 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.

Responsibilities:

• Define, prioritize, and build technical solutions, reference architectures, and cluster toolkit blueprints spanning multiple verticals.
• Serve as the customer’s technical voice, capturing field requirements and engaging trends to shape core Google Cloud HPC service roadmaps via PRDs.
• Lead advanced computing frontier initiatives, including TPUs for scientific workloads, agentic HPC, and quantum tech.
• Identify, prioritize, and enable high-value independent software vendor (ISV) solutions tailored to key domains.
• Develop and deliver deep-dive technical sales and Customer Engineering (CE) training programs, certifications, and badges.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 10 years of experience in product management or a related technical role.
• Experience with HPC applications and architectures, workload managers (e.g., Slurm, LSF), container orchestration (e.g., Kubernetes), or accelerator technologies (GPUs/TPUs).
• Experience building and maintaining open-source repositories, reference architectures, or automation blueprints (e.g., Terraform, Toolkit).
• Experience with artificial intelligence systems.

Preferred qualifications:

• Master's degree in a technology or business related field.
  
• Proven track record of influencing core infrastructure engineering roadmaps (Compute, Storage, Networking) based on workload-specific benchmarks and requirements.
• Deep understanding of scaling patterns for a range of HPC applications (e.g. tightly-coupled vs loosely-coupled, data-parallel vs pipeline-parallel).
• Excellent technical communication skills with the ability to build consensus across broad, cross-functional engineering and product organizations.