Note: The job is a remote job and is open to candidates in USA. Scout Global is hiring a Deployment Program Manager to lead multiple concurrent GPU cluster deployments for a fast-scaling GPU compute business. The role owns deployment planning and execution from contract signature through customer go-live, coordinating hardware, data center, 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
- Someone who's run several complex deployments at once and kept them all on the rails, with 7+ years of program or project management behind you
- Grounded in infrastructure delivery specifically, whether that's data center, telecom, or large-scale technology build-outs
- Fluent enough in the GPU cluster lifecycle, facility readiness, hardware install, network turn-up, acceptance testing, to spot schedule risk before it lands
- Practiced at reporting up and out: the same portfolio pitched one way for a client's go-live team and another for a Board
- A confident hand with the vendors, coordinating OEMs, facility operators, and connectivity providers directly rather than through intermediaries
- Comfortable living in the tooling that runs multi-workstream tracking, whether that's Smartsheet, MS Project, Jira, Confluence, or Asana
- Some travel likely
- Bonus points for PMP or equivalent, time at a neocloud, hyperscaler, or GPU infrastructure provider, or familiarity with NVIDIA Reference Architecture and cluster acceptance testing standards
Benefits
- Bonus
- Equity
Company Overview