[Remote] Deployment Program Manager
Note: The job is a remote job and is open to candidates in USA. Scout Global is a GPU/AI infrastructure startup scaling large-scale GPU compute deployments. The Deployment Program Manager will manage multiple concurrent deployments from contract signature through customer go-live, coordinating hardware, data center build-out, cluster provisioning, networking, vendors, risks, and executive reporting.
Responsibilities
- Hold the critical path across several live deployments at once, each with its own plan tracking hardware manufacturing and shipment, facility build-out, cluster provisioning, and connectivity dependencies
- Build project plans that make the dependencies visible, so a slip in one workstream surfaces its knock-on effects before they reach the go-live date
- Give clients a progress read pitched to their own go-live planning, not a raw technical status dump
- Give executive leadership and the Board a portfolio-level view of status, risk, and financial impact across every deployment in flight
- Catch risks, bottlenecks, and cross-workstream dependencies early, and own the mitigation and escalation to clear them fast
- Run the vendor coordination hands-on: shipment timing with hardware OEMs, build schedules with facility operators, and turn-up with connectivity providers
- Keep every workstream honestly reflected in the plan, working closely with the solutions architecture, data center operations, and supply chain teams
- Carry enough working knowledge of GPU architecture and the build lifecycle, from facility readiness through install, vendor coordination, and acceptance testing, to ask the questions that catch problems early
- Use that fluency to stay credible with technical stakeholders on every side of a deployment
Skills
- 7+ years of program or project management experience
- Experience running several complex deployments at once
- Grounded in infrastructure delivery specifically, whether that's data center, telecom, or large-scale technology build-outs
- Fluent in the GPU cluster lifecycle, facility readiness, hardware install, network turn-up, acceptance testing
- Practiced at reporting up and out for both client go-live teams and Board presentations
- Confident in vendor coordination, directly managing OEMs, facility operators, and connectivity providers
- Comfortable using tools for multi-workstream tracking such as Smartsheet, MS Project, Jira, Confluence, or Asana
- Ability to build dependency-aware plans spanning OEM hardware, data center build-out, cluster provisioning, and network turn-up
- Ability to catch risks, bottlenecks, and cross-workstream dependencies early and own the mitigation and escalation
- Ability to translate technical status into client-friendly progress updates
- PMP or equivalent
- Time at a neocloud, hyperscaler, or GPU infrastructure provider
- Familiarity with NVIDIA Reference Architecture and cluster acceptance testing standards
Benefits
- Bonus
- Equity
Company Overview