Head of GPU Capacity Planning

The role

The Head of GPU Capacity Planning owns the capacity planning process and maintains a single view of the fleet. This person will manage capacity forecasting, partner with Sales to guide sellable capacity, and coordinate with Infrastructure Operations to align delivery timelines with demand.

What you will do

• Maintain a single source of truth for total, committed, reserved, and available-to-sell capacity across every site and GPU generation.
• Standardize how capacity is defined, measured, and reported.
• Own demand pipeline and track contracted ramp, consumption, expiries, renewal probability, and take or pay floors.
• Define and publish sellable capacity by site, GPU type, and timeframe.
• Partner with Sales and Deal Desk to validate feasibility before commitments are made.
• Own the multi-year capacity strategy and act as the connective tissue between Infrastructure Operations, Sales, Finance, and leadership.
• Anticipate capacity constraints and drive cross-functional decisions for deployments, reservations, and site expansion.
• Own the buffer and oversubscription policy in partnership with Operations and Finance.
• Translate sales pipeline and contracted growth into a rolling capacity forecast.
• Coordinate with Infrastructure Operations, Global Operations, and supply chain on incoming capacity.

Required qualifications

• 5+ years in capacity planning, supply and demand planning, S&OP, technical program management, or infrastructure operations.
• Working knowledge of data center and compute infrastructure fundamentals: racks, power and cooling constraints, servers and GPUs, and networking.
• Advanced modeling skills and comfort building forecasting and allocation models.
• A track record of working across Sales, Finance, and Operations.
• Excellent written communication and the discipline to run a recurring operating cadence and produce clear, trusted reporting.

Nice to have

• Experience in GPU cloud, HPC, hyperscale, colocation, or semiconductor capacity environments.
• Familiarity with Slurm and Kubernetes cluster capacity, GPU fleet management, and utilization metrics.
• Experience writing requirements for and standing up DCIM, capacity, or inventory tooling.
• Program management certification (PMP or equivalent).
• SQL and BI tools

Benefits

• Stock Options
• 100% paid Medical, Dental, and Vision insurance for Employees
• Company Health Savings Account Contributions
• 100% paid Short Term and Long Term Disability Insurance for Employees
• Life and Voluntary Supplemental Insurance Options
• Other Insurance Options, such as Pet & Legal Insurance
• Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
• Flexible Spending Account
• 401(k)
• Employee Assistance Program
• Flexible PTO
• Paid Holidays

Before you apply

• All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.
• Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.

About the company

TensorWave delivers seamless, secure, reliable, and resilient AI compute at scale through a versatile cloud platform. They operate AMD Instinct GPU clusters across multiple U.S. data center sites.