TensorWave
Operations
TechnicalProgramManager,DataCenterOperations
Neural analysis suggests this role is
optimal for Senior candidates.
“Technical Program Manager, Data Center Operations at TensorWave. Skills: technical program management, data center operations, cross-functional coordination, operational discipline, risk mitigation, continuous improvement. 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,”
What You'll Achieve.
deliver seamless, secure, reliable, and resilient AI compute at scale; keep our next-generation AI infrastructure running at peak performance; ensure our AMD-powered AI clusters deliver on customer commitments at scale, with zero tolerance for preventable downtime; driving accountability to operational SLAs, program schedules, and customer commitments
Industry & Context.
Identify, escalate, and mitigate risks to site reliability, capacity availability, and customer-facing uptime before they become incidents
What They're Looking For.
Must Have
5+ years of technical program management experience, 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, 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
Nice to Have
Experience with high-density GPU or AI compute deployments and their operational demands, Background managing colocation or multi-tenant infrastructure environments, Familiarity with network infrastructure in data center environments: top-of-rack switching, structured fiber, spine-leaf topology, Experience with observability tooling (Grafana, Prometheus, or equivalent) for operational visibility, Prior experience at a hyperscaler, cloud provider, or high-growth AI infrastructure company, PMP or equivalent project management certification
What You'll Do.
Own end-to-end program management for data center operations across multiple sites
covering hardware lifecycle
and operational readiness
Serve as the primary coordination point across facilities
and software teams: driving accountability to operational SLAs
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
and executive leadership audiences
and mitigate risks to site reliability
capacity availability
and customer-facing uptime before they become incidents
Coordinate hardware deployment
and maintenance sequencing across sites in alignment with capacity and customer commitments
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
and change management records
How You'll Work.
Team & Collaboration
Serve as the primary coordination point across facilities, networking, hardware, and software teams; Partner with network, power, facilities, and infrastructure engineering teams
Communication Scope
technical communication skills: able to translate operational status and risk to both field teams and executive stakeholders
Process & Methodology
program management, milestone tracking, incident management, cross-team coordination, critical path dependencies management, resource requirements planning, risk management, change management
Full Job Description
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 TensorWave is seeking an experienced Technical Program Manager with a strong data center operations background to lead and scale the operational programs that keep our next-generation AI infrastructure running at peak performance. In this role, you’ll own the full lifecycle of data center operations programs: from hardware deployment and capacity management through incident response, change management, and continuous reliability improvement. You’ll be the operational spine connecting facilities engineers, network, hardware, DevOps, and SRE teams, and executive leadership to ensure our AMD-powered AI clusters deliver on customer commitments at scale, with zero tolerance for preventable downtime. This is a high-visibility, high-impact role for someone who brings operational discipline to complex, fast-moving environments and maintains clear communication and structured execution under pressure. What You’ll Do - 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: driving 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
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