FP&A Manager (R&D)

Serve as the key FP&A business partner to R&D leadership (Engineering, Product, and DevOps), supporting all planning, budgeting, and forecasting for the organization

Build and maintain R&D headcount and opex models, including hiring plans, contractors, and capitalized software costs

Build scenario and sensitivity analyses to evaluate investment trade-offs — hiring plans, infrastructure commitments, technology, and other strategic R&D initiatives — and partner with R&D leadership on prioritization

Own monthly R&D budget-to-actual and forecast variance analysis, partnering with functional leaders to identify anomalies, trends, and key drivers behind variances in R&D spend and hosting costs, and incorporate opportunities for optimization into future forecasts

Partner with Engineering and DevOps to forecast and manage Azure and AWS hosting costs, including usage trends, contract terms, capacity requirements, and committed spend, and provide financial analysis to support cost optimization initiatives such as reserved instance/savings plan commitments and vendor contract negotiations

Own the COGS model for our multi-tenant SaaS platform — hosting, cloud infrastructure, third-party services, and support costs — and build and maintain unit economics (cost per customer, per location, per transaction) tied to gross margin trends and pricing

Build business cases with Product that connect technology investment to payback period, margin impact, and revenue or retention upside, and establish a cost allocation and tagging approach so spend is attributable to products, features, and customers

Forecast and evaluate AI tooling and infrastructure spend (e.g., Claude, agentic workloads) across R&D and other teams, and recommend cost-effective usage and licensing strategies

Ensure the timely delivery of accurate R&D financial reporting, forecasts, and management analyses — including dashboards and a regular operating cadence for near real-time visibility into cost and margin impact — and support board- and executive-level reporting on gross margin, R&D efficiency, and capital allocation

Applies AI tools to accelerate R&D financial analysis and reporting, validates the accuracy of AI-generated outputs, and incorporates AI-driven insights into forecasts and recommendations