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

• 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.

• 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.