Own the annual budget and rolling forecasts for the R&D organization, including engineering headcount, contractor spend, software and tooling, and allocated infrastructure costs.
Serve as the day-to-day finance partner for R&D fielding budget questions, modeling one-off scenarios, and providing financial clarity for leadership decisions.
Build business case models for R&D investments, new product development, platform initiatives, and major capability builds including projected costs, revenue assumptions, and payback periods.
Model investment tradeoffs for R&D leadership and track actual performance of approved investments against their original business cases.
Support growth and profitability target-setting by modeling how R&D investment levels translate into product capability timelines and downstream revenue potential.
Own cloud hosting cost reporting and forecasting tracking actuals by product line against budget and maintaining a forward-looking model that reflects planned usage growth.
Identify optimization opportunities across the cloud portfolio idle resources, over-provisioned environments, and commitment vs. on-demand mix and partner with engineering on cost implications of architectural decisions.
Build and maintain a product-level P&L for key product lines covering ARR, recognized revenue, gross margin, and associated R&D and GTM investment.
Contribute product line P&L, ARR, and pipeline performance to executive and board-level reporting.

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.

Senior Financial Analyst

Key skills