Senior Platform Product Manager (AI Infrastructure)

Location: Santa Clara, United States; hybrid

Salary: $175,000–$225,000 per year

Company

hirify.global develops hirify.global Infinia, a software-defined data intelligence platform for AI, HPC, and enterprise workloads.

What you will do

• Define the long-term vision and roadmap for the Infinia hardware platform portfolio, including third-party and OEM hardware strategies.
• Drive product lifecycle management from concept through launch, adoption, and ongoing performance measurement.
• Partner with engineering to prioritize features, manage trade-offs, and ensure timely delivery.
• Gather customer and market insights, support strategic engagements, and represent the product at industry events.
• Develop positioning and go-to-market strategies with marketing while enabling sales and field teams.
• Drive performance, scalability, reliability, pricing, packaging, and profitability objectives.

Requirements

• 10+ years of product management experience, including at least 5 years in storage, data platforms, or infrastructure products.
• Experience owning hardware platform strategy for a software-defined or software-platform product.
• Track record of delivering complex, enterprise-grade products and solutions.
• Strong understanding of storage architecture, distributed systems, and data-intensive workloads.
• Hands-on knowledge of server and hardware platform design, NVMe/SSD/flash and HDD storage media, hardware bring-up and qualification, reference architectures, BOM and cost considerations, and supply chains.
• Bachelor’s degree in Computer Science, Engineering, or a related field.

Nice to have

• Competency with NVIDIA AI Enterprise Software.
• OEM/ODM partnership, hardware qualification, or hardware supply experience.
• MBA or an advanced degree.
• Familiarity with AI/ML, HPC, and cloud-native technologies.

Culture & Benefits

• Cross-functional collaboration with engineering, marketing, sales, and customer success.
• Opportunity to influence platform strategy for demanding AI, HPC, and enterprise workloads.
• Work in a hybrid environment.