- Full Time
- US
Nscale at a glance
nscale.com- Founded 2024
SEC filings mentioning "Nscale": 27 — search EDGAR
Source: Wikipedia
Nscale
This role is focused on building scalable operational systems that improve visibility, execution efficiency, reporting, governance, and operational consistency across GPU and AI infrastructure environments. The ideal candidate combines strong technical program management experience with a software engineering mindset and has expertise in analytics, automation, operational tooling, and process optimization.
You will play a key role in transforming how AI infrastructure programs are managed by leveraging data, AI agents, workflow automation, and scalable operational frameworks to improve execution quality and organizational scalability.
What You’ll Do
- Build and maintain operational dashboards, reporting systems, and program analytics that provide real-time visibility into AI infrastructure deployment activities
- Consolidate deployment schedules, vendor milestones, risks, and operational data into centralized program management workflows and tools
- Use data-driven insights to support forecasting, operational reviews, escalation management, and executive decision-making
- Leverage AI agents, automation platforms, and workflow tooling to improve reporting, coordination, documentation, and operational efficiency
- Generate standardized operational artifacts including readiness reviews, risk summaries, RACIs, status reporting, and deployment tracking metrics
- Define and improve scalable deployment processes, governance models, operational playbooks, and infrastructure delivery standards
- Identify operational bottlenecks and drive continuous improvement initiatives that improve execution consistency, scalability, and deployment efficiency
- Partner with engineering, deployment, and operations teams to improve systems integration, workflow automation, and operational effectiveness
What We’re Looking For
Required Qualifications
- 6–8+ years of experience in technical program management, software engineering, infrastructure operations, systems engineering, or related technical fields
- Strong background in operational analytics, automation, workflow optimization, and program management tooling
- Proven experience building dashboards, reporting systems, operational frameworks, or workflow automation platforms
- Strong analytical and problem-solving skills with the ability to translate operational data into actionable insights
- Experience working in complex, fast-paced, and highly cross-functional technical environments
- Familiarity with project and workflow management platforms such as Jira, Smartsheet, Asana, Monday.com, or ServiceNow
- Excellent communication and executive stakeholder management skills
Preferred Qualifications
- Experience with GPU, AI, HPC, cloud, or large-scale infrastructure environments
- Experience using AI agents, LLM workflows, or automation tooling in operational environments
- Familiarity with deployment orchestration, commissioning, and infrastructure lifecycle operations
- Experience with Python, SQL, APIs, scripting, or data analytics tooling
- Experience building operational governance models and scalable deployment frameworks
- Experience working with hyperscalers or enterprise-scale infrastructure organizations
What Success Looks Like
- Real-time operational visibility across deployment programs through scalable dashboards and reporting systems
- Highly automated operational workflows that reduce manual effort and improve execution efficiency
- Standardized deployment frameworks and governance models adopted consistently across programs
- Improved forecasting, operational decision-making, and executive reporting capabilities
- Reduced deployment risk through automation, analytics, and process standardization
- Increased operational scalability, repeatability, and execution quality across AI infrastructure deployment operations
Why Join Us
You will help shape the operational foundation behind next-generation AI infrastructure deployments. This is an opportunity to drive meaningful impact by building the systems, automation, analytics, and operational frameworks that enable scalable and efficient AI infrastructure operations at enterprise scale.
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.
For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.
To apply for this job please visit job-boards.eu.greenhouse.io.
Terms used in this posting
- equity
- Ownership stake in the company, usually in the form of stock options or RSUs, offered in addition to salary.
Explore Nscale online
What people say about Nscale
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Recent news
- Nvidia-Backed Startup Nscale Locks in $900 Million for Data-Center Buildout - WSJ
- Nscale Secures $900M For Data Center Expansion - Bisnow
- Nscale closes $900m revolving credit facility - Data Center Dynamics
- Nvidia-Backed Nscale Secures $900 Million Credit Facility for AI Expansion - Yahoo Finance
- NScale Lands $900 Million Credit Facility for Global AI Infrastructure Push - PYMNTS.com
Aggregated from public discussions and news; opinions are the authors’ own.
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