Technical Program Manager, AI Physical Deployment

• 3+ years of technical program management experience leading complex, large-scale infrastructure or physical deployment programs.
• Technical Domain Knowledge: Strong core understanding of data center physical infrastructure, networking, hardware architecture, and distributed systems.
• Program Rigor: Proven mastery of program management methodologies (PMP, Agile, or Scrum preferred) with exceptional stakeholder management and written/verbal communication skills.
• Execution in Ambiguity: Demonstrated ability to drive clarity and progress in fast-paced, high-growth environments while managing dynamic priorities.

• Direct experience managing programs related to data center infrastructure deployment, rack integration, and hardware commissioning.
• Background in hyperscale or public cloud environments supporting 24/7 mission-critical operations.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Willingness to travel periodically to data center project sites and deployment locations.
• Experience with AI-focused infrastructure, high-density compute environments, GPU clusters, or cloud region deployments.
• Familiarity with full-lifecycle data center deployment, including site development, procurement, construction, commissioning, and operational handoff.
• Understanding of power infrastructure, utility interconnections, substations, cooling systems, switchgear, and MEP dependencies.
• Proficiency with enterprise program tooling such as Smartsheet, Jira, Asana, MS Project, Primavera P6, or Power BI.
• Proven track record scaling a program management delivery framework within a rapidly growing technical organization.
• PMP, PgMP, Agile, Lean Six Sigma, or similar certification preferred but not required.

What We Can Offer You

At Nscale, you will thrive in a collaborative, innovative environment where high-impact work is recognized and rewarded. We are building the infrastructure foundation for the future of AI, and we offer: