Site Program Manager, Early Career
TLDR
Own on-site delivery across the full deployment lifecycle—from civil to commissioning—with hands-on floor ownership and mentorship.
Nscale is building out AI infrastructure deployments across North America. As we transition from a vendor-led delivery model to in-house execution, we're hiring Site PMs who will own the physical delivery floor, coordinating trades, managing contractors, and driving daily site execution from civil through commissioning. This early-career track is for candidates who want to learn that floor ownership hands-on, under the mentorship of senior Site PMs.
What You Will Do
- Own on-site delivery execution across the full deployment lifecycle — from civil and structural through power, mechanical, cabling, hardware install, and commissioning
- Coordinate trades on site — electrical, mechanical, low voltage, and network — driving daily standup cadence, resolving trade conflicts, and holding contractors accountable to schedule
- Interface with General Contractors, subcontractors, and OEM vendors on site — managing RFIs, submittals, change orders, and daily progress
- Track site schedule against the master plan — identify variances early, escalate proactively, and work with Project Controls to reflect actuals
- Own site commissioning and acceptance testing process — coordinate power-on sequencing, thermal validation, network testing, and final sign-off against customer acceptance criteria
- Produce daily and weekly site status updates to the Head of E2E Delivery and Integration PM — structured, data-led, no surprises
- Enforce safety protocols on site — PPE compliance, LOTO procedures, hot-work permits, and change management controls
- Build and maintain relationships with trades crews, contractors, and site teams — trust and credibility on the floor is a core part of this role
Minimum Qualifications
- 0–2 years of experience or a recent college graduate, with a degree in construction management, civil/electrical engineering, or a related technical field preferred
- Internship, co-op, or academic project experience in construction, data center operations, or critical infrastructure is a strong plus but not required
- Basic ability to read or willingness to quickly learn construction drawings, RFIs, and submittals
- A genuine interest in spending significant time on an active construction or data center site, since this is a hands-on, on-site role
- Clear, organized communication, with the habit of taking good notes and surfacing what you saw without being asked
- Calm, steady demeanor, comfortable being on a busy site and asking questions to learn quickly
- Willingness to travel extensively and spend significant time on active deployment sites
Preferred Qualifications
- Coursework or certification related to construction management, OSHA 10/30, or project management
- Prior internship in data center, telecom infrastructure, or large-scale technology deployment
- Exposure to AI or GPU infrastructure (rack and stack, high-density power, cabling standards)
The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation.
Salary Range
$80,000—$100,000 USD
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Benefits
Equity Compensation
retirement plan participation
Health Insurance
medical, dental, and vision coverage
Paid Parental Leave
parentral leave
Paid Time Off
flexible paid time off
Nscale builds high-performance GPU cloud infrastructure specifically designed for AI applications, catering to both start-ups and large enterprises. Our platform simplifies AI development, enabling companies to achieve innovative results while managing costs and supporting environmental sustainability. Positioned at the forefront of the AI revolution, we are driving pivotal technological advancements to meet the global demand for efficient AI computing.