Strategic Finance Manager, R&D

J
JobgetherTechnology, R&D
Based in the United States, flexibility across US time zonesFull-TimeManager
Salary not disclosed
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Job Details

Experience
5–8 years
Required Skills
Data AnalysisMicrosoft ExcelGoogle Sheets

Requirements

  • 5–8 years of experience in investment banking, private equity, consulting, strategic finance, or finance roles within high-growth technology companies.
  • Proven experience owning monthly, quarterly, and annual planning and reporting processes with limited guidance.
  • Advanced Excel and Google Sheets modeling skills with experience building scalable financial models.
  • Hands-on experience using AI tools such as Claude, ChatGPT, or similar solutions to enhance financial analysis and workflows.
  • Ability to evaluate AI-generated outputs critically and apply strong business judgment when interpreting results.
  • Experience building automated reporting tools, scenario models, or financial planning systems such as Pigment or similar platforms.
  • Strong analytical skills with the ability to work with large datasets and translate findings into strategic recommendations.
  • Experience partnering with Engineering, Product, Data Science, Infrastructure, or other technical teams is highly preferred.
  • Excellent communication skills with the ability to influence senior stakeholders and explain complex financial topics clearly.
  • Comfortable working in a high-growth, rapidly changing environment with ambiguity and shifting priorities.

Responsibilities

  • Own financial modeling and forecasting for R&D investments, including engineering headcount, cloud infrastructure, AI, and compute-related costs.
  • Build and maintain models that help leadership evaluate resource allocation, hiring scenarios, and investment decisions.
  • Analyze cloud and infrastructure spending using data-driven insights to identify trends, efficiencies, and opportunities for cost optimization.
  • Partner with engineering, AI, infrastructure, recruiting, and accounting teams to provide financial guidance and strategic recommendations.
  • Develop monthly, quarterly, and annual planning processes, including reporting cycles and executive-level business reviews.
  • Create automated and scalable reporting solutions that improve visibility into R&D performance and reduce manual analysis.
  • Use AI-powered tools and financial systems to accelerate modeling, reporting, and decision-making workflows.
  • Support build-versus-buy evaluations and strategic initiatives related to technology investments and operational efficiency.
  • Translate complex financial and operational data into clear narratives for senior leadership and stakeholders.
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