Sr. Manager, On-Demand Capacity Planning
Nscale is hiring a Sr. Manager, On-Demand Capacity Planning for a remote role open to applicants in United States. It pays $140k-$250k a year and Level rates it ; you can apply on Nscale.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- This is listed as a remote role.
- The posting mentions capacity planning, supply chain and financial modeling among its tools and skills.
- Level classes it as a senior role.
- Nscale has 299 other open roles on Level.
AI in this role
Design and optimize mathematical capacity models for large-scale physical GPU deployments and cloud infrastructure.
About the role: You are the commercial architect of our physical supply chain. Balancing long-lead and massive GPU deployments with explosive customer demand requires flawless yield management. You are a player-coach who will build the exact mathematical models dictating how we allocate our compute power. This is not a traditional software forecasting role; you are dealing with rigid physical hardware constraints. You will dive deeply into the ambiguity of our deployment schedules, build the foundational capacity allocation frameworks, and ensure we never leave a cluster unmonetized while strictly protecting our SLAs for existing enterprise commitments.
Responsibilities:
- Yield Management & Optimization: Design and manage the core capacity allocation frameworks, expertly balancing highly volatile on-demand spot instances with long-term, high-margin reserved customer commits.
- Supply-to-Sales Translation: Partner intimately with Nscale Engineering and Supply Chain to forecast exact cluster availability, and translate those physical deployment dates into viable, sellable inventory for the sales floor.
- Margin & Utilization Modeling: Build dynamic financial models that track the utilization of every megawatt. You will identify under-utilized compute pools and proactively partner with Deal Strategy to incentivize the sales team to move specific capacity.
- Cross-Functional Dispute Resolution: Act as the ultimate arbiter of capacity allocation when customer demand outstrips our physical supply, using high EQ and rigorous data to prioritize deployments based on strategic value and margin.
- Risk & Depreciation Modeling: Build models to account for hardware deprecation cycles, ensuring our pricing and capacity allocation strategies maximize ROI over the lifecycle of the GPU clusters.
You may be a good fit if you have:
- 7+ years of rigorous experience in capacity planning, supply chain finance, or cloud operations at a hyperscaler, heavy-infrastructure tech firm, or logistics-heavy enterprise.
- Exceptional analytical rigor and an advanced mastery of data modeling. You are incredibly comfortable digesting massive datasets regarding power costs, hardware depreciation, and network utilization.
- High agency and an innate ability to independently solve complex yield management problems under immense ambiguity.
- The ability to thrive in a high-pressure environment, pushing back on sales leaders when capacity simply does not exist, while maintaining a collaborative, solution-oriented relationship.
- Deep understanding of the macro AI compute market and how utilization rates directly affect corporate valuation and cash flow.
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$140,000—$250,000 USDFor information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.
Nscale does not accept unsolicited candidate submissions from recruitment agencies.
How we rate this
Sr. Manager, On-Demand Capacity Planning at Nscale rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where capacity planning was part of your work. What did you do?
- Tell me about a project where supply chain was part of your work. What did you do?
- Tell me about a project where financial modeling was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where yield management was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Capacity Planning, Supply Chain, Financial Modeling, Data Modeling, and Yield Management. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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