About TensorWave
Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.
About the Role
We’re looking for a Senior Program Manager to join our team during an exciting phase of growth. In this role, you’ll be the program owner for compute deployment: the BOMs, vendor and contractor agreements, budgets and global contractor workforce that turn delivered racks and power into running GPU capacity.
You will sit in the Infrastructure organization as the right hand to its leader and supply the compute-side plan that the EVP of Cluster Deployment’s forecast depends on. You will also work as a peer partner to the Network Design team so compute build and fabric designs land together. This is a program role, not a project or TPM role: you own the operating model, the commercials, and the outcomes across many concurrent deployments.
What You’ll Do
Compute BOMs and Build Standards
Build, own and manage per-cluster BOMs built around fully integrated AMD Instinct racks: rack elevations, configurations, servers, NICs and spares, for current generations and upcoming rack-scale platforms.
Rack cabling and optics are co-led with the Network and DC Build teams.
Keep BOMs versioned by platform generation and aligned with engineering's reference architecture.
Compute Inputs to the Deployment Forecast
Supply the EVP of Cluster Deployment with compute costs, lead times, labor estimates and spares requirements for each planned build.
Track compute readiness against that forecast and raise risks early.
Vendor and Contractor Agreements
Lead the RFQ/RFP process, vendor identification, selection and negotiation for deployment integrators, smart-hands and managed-service providers.
Own MSAs, SOWs, rate cards and SLAs with Legal and Finance.
Global Contractor Program
Create and lead a multi-regional contractor program for integrated rack receiving, placement, turn-up, burn-in, break/fix and RMA handling.
Develop and lead the vendor and contractor lifecycle: identification, management and performance evaluation, through project acceptance criteria, work and deliverable audits, vendor scorecards and replacing underperformers.
Deployment Operations
Run concurrent site deployments from hardware arrival through handoff to the deployment engineering team.
Own program reporting, risk register and budget tracking for compute deployment.
Steady-State Fleet Operations
Own the contractor and vendor model for ongoing hardware operations: spares depots, field replacement SLAs and cost per rack.
Who You Are
Required Qualifications
12+ years in infrastructure, datacenter or technology operations, including 5+ years leading multi-site
datacenter programs.
Experience owning a multi-eight-figure budget, with measurable savings from vendor negotiation and
capacity planning.
End-to-end datacenter buildouts: scoping, building and managing the hardware BOM, procurement,
staffing and turn-up.
Leading distributed, international teams and contractors across multiple sites.
Hands-on RFQ/RFP, vendor selection and contract negotiation.
Program management background across Agile and Waterfall environments; industry certifications such
as PMP, PgMP or PfMP preferred.
Preferred Qualifications
GPU, HPC or other high-density compute deployments; we will teach the AMD Instinct specifics.
DC modeling for rack, power and capacity planning, plus reporting tools (NetBox, Grafana, Looker or
similar).
International deployments, including import/export and in-country labor rules.
Prior work at a cloud provider, neocloud or large device or server farm
What We Offer
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
Parental Leave
Other In-Office Perks
Equal Employment Opportunity
TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.
Reasonable Accommodations
TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact [email protected].
Employment Eligibility
All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.
Background Checks
Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.
Data Privacy Notice
By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.
Skills Required
- 12+ years of experience in infrastructure, data center, or technology operations
- 5+ years leading multi-site data center programs
- Experience owning a multi-eight-figure budget
- Demonstrated savings from vendor negotiation and capacity planning
- End-to-end data center buildout experience, including scoping, hardware BOMs, procurement, staffing, and turn-up
- Experience leading distributed international teams and contractors across multiple sites
- Hands-on RFQ/RFP experience
- Experience with vendor selection and contract negotiation
- Program management experience across Agile and Waterfall environments
- PMP, PgMP, or PfMP certification
- Experience with GPU, HPC, or other high-density compute deployments
- Data center modeling for rack, power, and capacity planning
- Experience with NetBox, Grafana, Looker, or similar reporting tools
- Experience with international deployments, including import/export and in-country labor rules
- Prior experience at a cloud provider, neocloud, or large device or server farm
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What We Do
TensorWave is a cutting-edge cloud platform designed specifically for AI workloads. Offering AMD MI300X accelerators and a best-in-class inference engine, TensorWave is a top-choice for training, fine-tuning, and inference. Visit tensorwave.com to learn more. Send us a message to try it for free.









