Head of Finance

As vCluster Labs’
Head of Finance
, you will bridge the gap between strategic vision, operational execution, and sustainable growth, owning the financial infrastructure for the entire company lifecycle. You will lead the finance and accounting functions through our next phases of growth, ensuring our fiscal health as we scale and guiding the company through future fundraising rounds.

As Head of Finance, your role will include:

• Financial Strategy & Leadership: Build, lead, and scale a high-performing finance and accounting function responsible for driving capital efficiency and long-term financial health. You will own the company's financial operating system.

• FP&A and Modeling: Oversee and optimize the financial planning process, ensuring clear success criteria and well-defined forecasts. You will be an expert in planning, reporting, and modeling financials to support strategic decision-making.

• Accounting & Compliance: Own the post-transaction financial reality, guiding the company through audits, tax compliance, and month-end closes. You will ensure accuracy in financial reporting while identifying opportunities for efficiency within the P&L.

• Fundraising & Investor Relations: Serve as a key partner to the CEO during fundraising activities. You will lead the preparation of diligence materials and financial narratives required to successfully navigate early funding rounds.

• Cross-Functional Collaboration: Act as the financial voice of the business, providing critical feedback to Product and Sales teams to influence the roadmap based on unit economics and efficiency metrics that have a clear impact on new business and retention.

• SQL & Data Fluency: You can write your own SQL queries against the data warehouse to pull the data you need for reporting and modeling, without waiting on an analyst.

• Executive Partnership: Serve as the primary financial escalation point and engage directly with the Board of Directors and executive leadership to align financial constraints with ambitious growth goals.

This role could be a fit for you if you bring:

• Deep Financial Expertise: You possess strong technical depth in corporate finance, accounting (GAAP), and SaaS metrics (ARR, NRR, CAC), with the ability to understand and discuss complex financial scenarios.

• Fundraising
  
  Experience:
  
  Proven experience going through fundraising rounds, specifically early stages, with a track record of successful diligence management and investor relationship building.

• Leadership
  
  Experience:
  
  You have led finance teams in a high-growth startup or SaaS environment, fostering a culture of transparency and fiscal responsibility.

• Strategic & Tactical Ability: You are capable of defining high-level financial strategy for the company while remaining hands-on enough to dive into complex spreadsheets, financial models, and billing configurations when needed.

• Communication
  
  Skills:
  
  You can effectively articulate complex financial concepts to a variety of audiences, from engineers to VCs and C-level executives.

Bonus points for:

• CPA or CFA designation.

• Experience at a company with an international subsidiary.

• Experience implementing and managing Financial systems.

• Previous experience working with widespread distributed teams in a remote-first environment.

We are a venture-backed tech startup and the company pioneering Kubernetes virtualization for the AI era. We raised +$30M from top-tier VCs such as Khosla Ventures (first investor in OpenAI, Git Lab, Stripe, Doordash) and are in a hyper-growth phase looking for motivated people to complement our team. Our headquarters are in San Francisco (Salesforce Tower), but our team is distributed around the globe and we have a remote-first work culture.

We are the leading platform for operating GPU infrastructure, enabling AI Cloud providers to deliver a hyperscaler-like experience to their customers and AI factories that need to build that same experience for their internal teams. Our platform delivers the full operational stack operators need to run their GPU data centers — managed Kubernetes, fast isolated tenant provisioning, and automated node provisioning and lifecycle management — enabling them to…