Job Overview
Location
Las Vegas, Nevada
Job Type
Full-time
Category
Product Management
Date Posted
May 22, 2026
Full Job Description
đź“‹ Description
- • Own end-to-end program management for data center operations across multiple sites, covering hardware lifecycle, capacity planning, change management, incident response, and operational readiness
- • Serve as the primary coordination point across facilities, networking, hardware, and software teams to drive accountability to operational SLAs, program schedules, and customer commitments
- • Define and track program milestones, critical path dependencies, and resource requirements across concurrent multi-site operational programs
- • Translate operational status and risk into clear reporting for engineering, product, and executive leadership audiences
- • Identify, escalate, and mitigate risks to site reliability, capacity availability, and customer-facing uptime before they become incidents
- • Coordinate hardware deployment, node lifecycle, and maintenance sequencing across sites in alignment with capacity and customer commitments
- • Partner with network, power, facilities, and infrastructure engineering teams to drive operational readiness for high-density GPU compute clusters
- • Own post-incident retrospectives and corrective action tracking, driving lessons learned into durable process improvements
- • Maintain program documentation including operational runbooks, risk registers, vendor trackers, capacity plans, and change management records
- • Manage operational programs for AMD-powered AI clusters to ensure delivery on customer commitments at scale with zero tolerance for preventable downtime
- • Act as the operational spine connecting facilities engineers, network teams, hardware teams, DevOps, and SRE teams to ensure seamless execution in a high-growth environment
- • Ensure operational discipline and structured execution under pressure in fast-moving, complex infrastructure environments
- • Translate technical operational needs into clear communication for both field teams and executive stakeholders
- • Utilize Jira or equivalent program management tooling for milestone tracking, incident management, and cross-team coordination
- • Support the scaling of next-generation AI infrastructure by aligning data center operations with customer demands and infrastructure growth
- • Maintain compliance with operational standards and drive continuous reliability improvement across all data center sites
- • Coordinate with vendor teams and track infrastructure dependencies including power distribution, cooling, and structured cabling
- • Ensure operational readiness for high-density GPU compute deployments through proactive planning and cross-functional alignment
- • Track and report on capacity availability and hardware deployment timelines to support customer-facing uptime commitments
- • Lead incident response coordination and post-mortem analysis to institutionalize process improvements and prevent recurrence
- • Maintain accurate and up-to-date operational documentation including runbooks, risk registers, and change management records
- • Drive accountability for operational SLAs across multiple teams and sites in a high-visibility, high-impact role
🎯 Requirements
- • Bachelor’s degree in Computer Science, Electrical/Mechanical Engineering, Information Technology (or a related technical field or equivalent practical experience)
- • 5+ years of technical program management experience, with at least 3 years directly managing data center operations, infrastructure programs, or critical facilities at scale
- • Demonstrated experience coordinating across facilities, network, and hardware engineering teams in a live production environment
- • Familiarity with data center operational systems and infrastructure: power distribution, cooling, structured cabling, and physical layer dependencies
- • Proven track record managing complex, multi-site operational programs on compressed timelines in a high-growth environment
- • Strong technical communication skills: able to translate operational status and risk to both field teams and executive stakeholders
- • Experience with Jira or equivalent program management tooling for milestone tracking, incident management, and cross-team coordination
🏖️ 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
- • Parental Leave
- • Other In-Office Perks
Skills & Technologies
Node.js
Fiber
Prometheus
Grafana
Onsite
Degree Required
About TensorWave, Inc.
TensorWave develops and operates an AI accelerator cloud built on AMD Instinct GPUs, targeting large-scale model training and inference. The platform offers on-demand and reserved compute with high-bandwidth memory, InfiniBand networking, and container orchestration, delivered through a web console and API. Designed for generative AI, LLM fine-tuning, and HPC workloads, the service emphasizes AMD performance at competitive pricing, supported by 24/7 operations teams. Based in Las Vegas, Nevada, the company serves hyperscalers, research labs, and enterprises needing GPU capacity beyond NVIDIA ecosystems.
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