# Staff Operational Readiness Technical Program Manager, AI Infrastructure Deployment at Nscale

Nscale is hiring a Staff Operational Readiness Technical Program Manager, AI Infrastructure Deployment for a remote role open to applicants in United States. It pays $190k-$300k a year and Level rates it Works on AI ●●●○; you can [apply on Nscale](https://jobsbylevel.com/go/2fc295fa-abb5-412b-a165-b3d47e0dd1fa?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. Remote (Houston; New York; San Francisco; Seattle).

## Details

- Company: [Nscale](https://jobsbylevel.com/companies/nscale)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Remote (Houston; New York; San Francisco; Seattle)
- Salary: $190k-$300k
- Posted: November 3, 2026
- Apply: https://jobsbylevel.com/go/2fc295fa-abb5-412b-a165-b3d47e0dd1fa?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=staff-operational-readiness-technical-program-manager-ai-infrastructure-deployment-at-nscale-c3f69f

## Prepare for this job

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## Description

. About Nscale and the Deployment PMO Nscale builds and operates large-scale AI infrastructure, delivering GPU clusters for leading hyperscalers, AI labs and enterprises across North America, EMEA and APAC. The Deployment PMO turns signed contracts into live AI infrastructure, coordinating the many teams and partners involved in bringing large GPU clusters online. About the role The Deployment TPM owns the last mile of every deployment: the point where a validated cluster becomes a service that Nscale operates and the customer runs on. You make sure nothing reaches the customer or the operations team half-built, undocumented or unsupported. You track operational readiness for every cluster. That covers the core platform services that operations depends on, the handover package the customer signs, and the formal acceptance process through which the operations team takes the cluster into support. You turn dozens of owners, services and evidence folders into one clear answer: ready to hand off, or not yet, and why. This is an individual contributor role in the Deployment PMO. Expect to travel up to 50% of the time, primarily to data center sites. What you’ll do Drive operational readiness Own the operational readiness checklist for each cluster, from network edge and management connectivity through to managed Kubernetes, with a named owner for every service. Track bring-up in the right order: network edge and management, core services, cloud platform and storage, secrets management, remaining control planes, then application services. Chase the services operations cannot run without: DHCP/PXE, DNS, NTP, zero-touch provisioning, LDAP, TACACS+, PKI, secrets management, asset systems, artifact and OS image mirrors, fleet management, logging, telemetry and observability. Escalate early when a service or owner is blocking readiness, with evidence and a recovery date. Build the handover package Assemble the customer handover document for every cluster: executive summary, scope, available GPU capacity against plan, metadata, roles and contacts, solution and network overview, and bill of materials. Make capacity unambiguous: planned GPUs, GPUs available at handover, GPUs excluded and why, and open remediation tickets. Map every validation test to its evidence folder (health checks, system and network stress, interconnect and multi-node performance, fabric and firmware validation) so the customer can verify results without asking. Record every deviation, known issue and residual risk as an open item with an owner and a date. Nothing is accepted silently. Run the operations acceptance process Lead the formal acceptance process so the operations team accepts each cluster with full knowledge of what it is taking on. Confirm support paths are live before handoff: ticket routing, hardware returns and triage, log and diagnostic collection, spares and escalation contacts. Make sure the operations team understands the customer’s contractual hardware-failure terms, including repair windows and credit triggers, before the support clock starts. Close out and improve Brief the customer and leadership on handoff readiness, with an honest view of risk to the handoff date. Track open items after handoff until they are closed, and confirm the post-handoff support period ends on time. Turn every handoff into a better template: feed lessons into the handover document, the readiness checklist and the acceptance process. What success looks like in your first 6–12 months Every cluster has an operational readiness checklist with a named owner per service, reviewed weekly. Every handoff ships with a complete handover package, and the customer signs off without rework. The operations team formally accepts every cluster, with no surprise gaps after handoff. Open items at handoff are tracked to closure, and the post-handoff support period ends on time. The handover template and acceptance checklist are reused on every new cluster and get faster each time. What

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