FP&A Manager (R&D)

Restaurant365•Austin, OH

2d•Hybrid

About The Position

Restaurant365 is seeking a highly motivated FP&A Manager to serve as the key finance partner to its R&D organization, including Engineering, Product, and DevOps. The role analyzes financial and operational performance and provides actionable insights and recommendations to R&D leadership and the executive team. It is an individual-contributor position, working independently and collaboratively to drive annual planning, budgeting, and forecasting across R&D. The successful candidate is a self-starter who takes initiative, works well under pressure, handles ambiguity, and brings strong business-partnering and analytical skills, particularly when working with technical stakeholders. The role covers R&D spend, headcount and operating-expense planning, hosting and product cost of goods sold, cloud infrastructure costs, and AI tooling expenses. It develops scenario analyses and business cases, maintains SaaS unit economics, supports cost optimization and investment prioritization, and provides accurate financial reporting and forecasts. The position also uses AI tools to accelerate analysis and reporting, while validating generated outputs and incorporating useful insights into recommendations. This is a hybrid role. Employees are expected to work onsite each Tuesday and Wednesday. The stated salary range is $96,400–$144,600; actual compensation may vary based on relevant skills and experience, time in role, business line, and geographic location.

Requirements

At least 8 years of experience in FP&A, Finance, Business Analysis, or a related field, including experience supporting an R&D, Engineering, or Product organization.
Bachelor’s degree in finance, accounting, or a related field, or equivalent work experience.
Ability to interpret financial statements and communicate key recommendations to the business.
Experience leveraging AI tools such as Claude or ChatGPT to build and manage complex financial models.
Strong attention to detail, ability to self-review work, and consistent delivery of accurate, polished outputs.
Advanced Excel knowledge, including financial modeling, and experience preparing executive-level presentations.
Knowledge of and experience in the SaaS or software industry.
Comfort partnering with technical stakeholders, including Engineering and Product, and translating technical concepts into financial terms.
Ability to solve complex business challenges, understand business needs and strategy with company executives, and deliver accurate and timely financial models, analysis, and recommendations with demonstrated business impact.
Excellent written and verbal communication skills.

Nice To Haves

Experience with financial planning, ERP, CRM, and spend management systems, such as Aleph, Sage Intacct, Salesforce, and Ramp.
Familiarity with cloud infrastructure billing and cost management, such as Azure Cost Management and AWS Cost Explorer, and with FinOps concepts.

Responsibilities

Serve as the key FP&A business partner to R&D leadership across Engineering, Product, and DevOps, supporting planning, budgeting, and forecasting.
Build and maintain R&D headcount and operating-expense models, including hiring plans, contractors, and capitalized software costs.
Develop scenario and sensitivity analyses to evaluate investment trade-offs, including 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; work with functional leaders to identify anomalies, trends, and key drivers in R&D spending and hosting costs, and incorporate optimization opportunities into 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; support cost optimization initiatives and vendor contract negotiations.
Own the cost-of-goods-sold model for the multi-tenant SaaS platform, including hosting, cloud infrastructure, third-party services, and support costs.
Build and maintain unit economics, such as cost per customer, location, and transaction, and connect them to gross-margin trends and pricing.
Build business cases with Product linking technology investments to payback period, margin impact, and revenue or retention upside.
Establish a cost allocation and tagging approach to attribute spending to products, features, and customers.
Forecast and evaluate AI tooling and infrastructure spending across R&D and other teams, and recommend cost-effective usage and licensing strategies.
Deliver accurate and timely 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.
Support board- and executive-level reporting on gross margin, R&D efficiency, and capital allocation.
Apply AI tools to accelerate R&D financial analysis and reporting, validate AI-generated outputs, and incorporate AI-driven insights into forecasts and recommendations.