Level

Nscale

Sr. Deal Desk Specialist

Nscale is hiring a Sr. Deal Desk Specialist in Houston, New York and San Francisco, United States. It pays $110k-$160k a year and Level rates it ; you can apply on Nscale.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include Excel, financial modeling and deal desk.
  • Level classifies it as a senior role.
  • Level lists 287 other open roles at Nscale.

AI in this role

Structure and negotiate custom GPU compute contracts and financial models for enterprise AI clients.

excel
financial-modelingdeal-deskcontract-negotiationpricing-strategy

About the role:

You are the indispensable commercial quarterback for Nscale’s largest and most complex deals in North America. Sitting at the crucial, high-pressure intersection of Sales, Finance, Legal, and Product, you will partner directly with our most senior Account Executives to structure, price, and successfully negotiate custom GPU compute contracts for top-tier enterprise clients. You are much more than a pricing approver; you are a strategic advisor who deeply understands the fundamental economics of AI data centers. You know how to utilize creative commercial terms, capacity guarantees, and flexible payment structures as a distinct competitive weapon against legacy cloud providers. You will be in the trenches daily, helping close the deals that will define Nscale's trajectory.

Responsibilities:

  • Bespoke Commercial Modeling: Build deep, highly customized pricing models, compelling ROI justifications, and Total Cost of Ownership (TCO) comparisons that vividly demonstrate Nscale's superior financial value for a customer's specific AI workload.
  • Frontline Negotiation: Serve as the primary commercial advisor on live, high-stakes customer calls. You will navigate complex Master Services Agreements (MSAs), debate utilization commitments, defend our pricing strategies, and negotiate SLA penalties directly with enterprise procurement teams.
  • Strategic Sales Partnership: Act as a highly trusted advisor to the North American sales team. You will proactively coach AEs on commercial strategy, teaching them how to use specific contracting levers to unstick stalled deals, increase total contract value, and accelerate time-to-close.
  • Process Engineering & Tool Building: Continuously identify friction points and bottlenecks in the quote-to-cash process. Take the independent initiative to build new spreadsheet-based pricing calculators, ROI templates, or commercial approval workflows to streamline future deals.
  • Cross-Functional Deal Triage: Project manage the internal lifecycle of highly complex, non-standard deals, actively chasing down approvals from Legal, Finance, and Capacity Planning to ensure deals do not die on internal desks.

You may be a good fit if you have:

  • 5+ years of intense, hands-on experience in Deal Desk, Sales Finance, or complex Commercial Structuring within the B2B tech sector, specifically focusing on cloud, infrastructure, or hardware sales.
  • Advanced, exceptional financial modeling skills. You are incredibly comfortable digesting massive datasets regarding capacity, margin profiles, power costs, and utilization rates to build dynamic, multi-scenario deal models on the fly.
  • A high EQ, a thick skin, and a collaborative nature. You know how to push back on demanding sales reps to protect company margins, while simultaneously maintaining a strong relationship and showing them you are fighting to win the deal.
  • An innovative, process-oriented mindset. You constantly look for ways to continuously improve systems and leverage data to make the Deal Desk function smarter, faster, and more scalable.
  • The ability to thrive in a high-velocity, high-pressure environment where multiple 8-figure deals are requiring your attention simultaneously.

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$110,000—$160,000 USD

For 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. Deal Desk Specialist at Nscale rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Financial ModelingDeal DeskContract NegotiationPricing StrategyExcel

Questions you could be asked

  1. Tell me about a project where financial modeling was part of your work. What did you do?
  2. Tell me about a project where deal desk was part of your work. What did you do?
  3. Tell me about a project where contract negotiation was part of your work. What did you do?
  4. Tell me about a project where pricing strategy was part of your work. What did you do?
  5. Walk me through how you've used Excel in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Financial Modeling, Deal Desk, Contract Negotiation, Pricing Strategy, and Excel. 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.

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