Capacity Planning Specialist (AI Infrastructure)

Location: On-site in San Francisco, CA; Bellevue, WA; or Sunnyvale, CA, United States

Salary: $195,000–$235,000 annually plus bonus and Restricted Stock Units

Company

hirify.global is an AI infrastructure company operating energy, data center, cloud, and computing infrastructure to support large-scale AI workloads.

What you will do

• Own multi-quarter capacity plans and allocation models for CPUs and File, Object, and Block storage platforms.
• Analyze demand signals, workload history, customer usage, and product roadmaps to forecast resource consumption and guide hardware placement.
• Translate product forecasts into deployed hardware allocations while coordinating with engineering, finance, sales, product, and supply chain teams.
• Balance infrastructure costs, unit economics, depreciation, utilization targets, and technical availability cushions.
• Define planning metrics and baselines, and partner with software engineering to automate capacity workflows and build real-time dashboards.
• Mine and validate hardware usage, asset management, and billing data for capital efficiency models.

Requirements

• 3+ years of experience in infrastructure capacity planning, infrastructure systems engineering, or technical product management focused on compute and storage.
• Technical knowledge of enterprise server configurations, CPU sizing and benchmarking, and File, Object, and Block storage architectures.
• Experience in high-growth public cloud environments or massively distributed systems.
• Strong structured communication, documentation, and cross-functional negotiation skills.
• Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Operations Research, Mathematics, Data Science, or an equivalent quantitative field.
• On-site availability in San Francisco, Bellevue, or Sunnyvale is required.

Nice to have

• Experience defining product requirements for internal automation tools for machine-level monitoring, resource provisioning, or capacity modeling.
• Willingness to expand into specialized GPU clusters and accelerated AI computing fabrics.

Culture & Benefits

• Work on AI infrastructure spanning energy, manufacturing, data centers, and cloud services.
• Collaborate with cloud engineering, product management, finance, supply chain, sales, and hardware teams.
• Performance-based bonus and Restricted Stock Units included in offers.
• Equal opportunity employment environment.