Procurement Operations Manager

Required

• 5–8 years of experience in FP&A, corporate finance, or a closely related analytical role in a SaaS or technology company; experience supporting R&D and GTM finance is a strong plus.
• Demonstrated experience with core FP&A disciplines budgeting, forecasting, headcount modeling, and variance analysis preferably with R&D cost structures.
• Familiarity with cloud infrastructure economics and the ability to build cost models around cloud hosting portfolios.
• Deep understanding of SaaS revenue metrics ARR, NRR, pipeline velocity, close rates, gross margin, CAC, LTV and the ability to build rigorous, defensible models and narratives around them.
• Experience building and owning product-level P&L models, including revenue, COGS, gross margin, and investment allocation.
• Practically AI-enabled you actively use AI tools as part of your day-to-day workflow, whether for financial modeling, research, data analysis, or drafting, and you bring the judgment to validate outputs and know when to trust them.
• Proven ability to work in environments where data is incomplete, definitions are still being established, or infrastructure is maturing and the judgment to produce credible, actionable analysis anyway.
• A clear and confident communicator who can translate complex financial analysis into narratives for non-finance audiences and who brings a point of view, not just a deliverable.
• Comfortable producing clear, structured analysis in environments where data is incomplete or definitions are still evolving.
• Familiar with applying cloud infrastructure cost frameworks to unit economics and product-level profitability analysis.
• Skilled at building financial models that can be translated for non-finance stakeholders.
• Familiar with applying AI tools to day-to-day analytical work research, modeling, or drafting with the judgment to validate the outputs.