About the Role
Partner with Engineering leadership to support the financial operations of Nscale’s global AI compute platform. This role involves driving financial planning, cost governance, and performance analysis within a fast-paced technical environment, building models for expense management, headcount planning, and investment tracking, and providing visibility into key cost drivers.
Responsibilities
- Support budgeting, forecasting, and monthly reporting across engineering teams and programs.
- Maintain financial reporting for engineering, including OpEx tracking, headcount, and project-level spend.
- Develop and update financial forecasts covering hiring plans, resource allocation, and initiative timelines.
- Build and maintain financial models to support engineering capacity, productivity, and cost trends.
- Track and report on core KPIs including cost per engineer, engineering productivity, and spend per initiative.
- Support the development of unit economics across engineering investments, including cost per feature, product, or initiative.
- Identify cost efficiency opportunities across headcount, infrastructure usage, tooling, and vendor spend.
- Partner with engineering teams to understand cost drivers, development cycles, and performance trends.
- Contribute to cost optimization and efficiency initiatives through data-driven analysis.
- Build financial models and analysis to support engineering initiatives, product development, and technical investments.
- Support management of engineering budgets by tracking actuals versus plan and highlighting variances.
- Assist in evaluating trade-offs across resource allocation, prioritization, and build vs. buy decisions.
- Track performance against investment assumptions and provide visibility into ROI and impact.
- Support financial evaluation of engineering tools, platforms, and vendor contracts.
- Partner with engineering and procurement to track vendor spend and identify optimization opportunities.
- Monitor usage and cost trends across tooling and infrastructure to promote efficient spend.
- Partner with engineering, product, and infrastructure teams to support financial planning and decision-making.
- Translate technical and operational data into clear financial insights for stakeholders.
- Support planning and prioritization of engineering initiatives and resource allocation.
- Produce regular reporting on engineering financial performance, including spend, headcount, and program costs.
- Support cost tracking, budget controls, and governance processes.
- Ensure accuracy and consistency of financial and operational data across systems and reports.
Requirements
- 5–8 years of experience in FP&A, strategic finance, or infrastructure / cloud finance roles in a high-growth or top-tier technology company.
- Advanced financial modeling skills, including scenario analysis, sensitivity modeling, and long-range planning.
- Experience owning or materially contributing to forecasting and planning in a complex, usage-based or infrastructure-heavy environment.
- Strong understanding of cost drivers in cloud, compute, or infrastructure systems, including utilization, capacity, and unit cost dynamics.
- Demonstrated ability to partner effectively with engineering or technical teams and influence decision-making.
- Proven track record of turning large, ambiguous datasets into clear recommendations and actionable insights.
- High proficiency in Excel / Google Sheets, with experience using SQL and data tools such as Looker or Tableau.
- Experience in AI, GPU cloud, or distributed infrastructure environments is a plus.
- High-ownership, detail-oriented, and comfortable operating in ambiguity while building structure where it does not yet exist.
- Credible with technical stakeholders, grounded in first-principles thinking, and biased toward action, accountability, and urgency.
Skills
- Financial modeling
- Scenario analysis
- Sensitivity modeling
- Long-range planning
- Forecasting
- Planning
- Cost driver analysis
- Data analysis
- Excel
- Google Sheets
- SQL
- Looker
- Tableau
Experience Level
- 5-8 years
Salary/Compensations
- 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.
Benefits
- Highly competitive compensation package (base + bonus + equity)
- Performance reviews every 12 months
- Dynamic progression plan
- Human-First Flexibility
- Medical
- Dental
- Vision
- Flexible paid time off
- Parental leave
- Retirement plan participation
About the Company
- Nscale is the GPU cloud engineered for AI, providing cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers.
- Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development.
- Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.
- We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency.
- As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work.
- If you join our team, you’ll be contributing to building the technology that powers the future.
Equal Opportunity
- We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.
- If there’s anything we can do to accommodate your specific situation, please let us know.
