Hybrid Program Manager, MBA
TLDR
Govern third-party delivery partners and lead in-house execution as operations are insourced, owning end-to-end AI infrastructure deployments.
Nscale is building the AI infrastructure that powers next-generation compute at scale. We're looking for a Hybrid PM who can govern our third-party delivery partners today and lead our in-house execution teams as we insource operations over the next 6–12 months. This is a rare role that requires equal strength in vendor accountability and floor-level delivery leadership, and you will own one or more active deployments end to end. We're opening this role for high-potential MBA candidates who can develop into that ownership quickly under direct mentorship.
What You Will Do
- Own end-to-end delivery of AI infrastructure deployments — from customer acceptance criteria definition through site commissioning and operational handover
- Govern third-party vendors — holding them accountable to schedule, quality, and scope through structured weekly governance, data-led escalation, and formal review cadences
- Own Nscale's 30% delivery scope on every site — WAN availability, FE network availability, network device configuration, and customer acceptance validation
- Build and maintain the integrated 100% delivery picture across vendor scope and Nscale scope — and communicate it clearly to leadership weekly
- Manage customer relationships through the full deployment lifecycle — extracting acceptance criteria, setting expectations, and representing Nscale confidently at the executive level
- Transition into direct management of in-house trades and field teams as Nscale insources execution — building daily coordination cadences, trade accountability, and site governance from the ground up
- Identify risks and dependencies across cross-functional teams including Supply Chain, GPU PM, Networking PM, and Deployment Engineering — and drive resolution before they hit the schedule
- Contribute to the development of repeatable deployment playbooks, governance frameworks, and site acceptance standards
Minimum Qualifications
- MBA, ideally with coursework or prior experience touching operations, infrastructure, or program management
- 3–5 years of total professional experience (pre- and/or post-MBA) spanning some combination of technical program or project management with full deployment lifecycle ownership
- Demonstrated interest in developing both vendor governance and hands-on field/operations skills
- Comfort with ambiguity and a fast-changing environment, as you'll be asked to contribute in a boardroom one week and on a site floor the next
- Strong analytical and executive communication skills, with the ability to translate operational detail into a clear leadership narrative
- Network and infrastructure literacy — comfortable owning WAN availability, FE network, and network device configuration without needing a translator
- Willingness to travel and spend meaningful time on active deployment sites as part of your development
- A track record (academic, internship, or early career) of building trust quickly with people outside your immediate team
Preferred Qualifications
- Professional experience managing a vendor-to-insource transition — you have been on both sides of a delivery model change
- Background in AI or GPU infrastructure specifically — NVIDIA-class hardware, InfiniBand, liquid cooling, or high-density power
- PMP, PgMP, or equivalent program management certification
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.
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Benefits
Health Insurance
medical, dental, vision
Retirement plan participation
Paid Parental Leave
parental 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.