Senior Financial Planning & Analysis Manager

We’re seeking a highly skilled and motivated Senior Financial Planning & Analysis (FP&A) Manager to serve as the finance partner to our Engineering and Product organizations. This critical role will own the financial view of how we build, host, and deliver our SaaS products—from R&D investment and cloud/data center infrastructure to consumption-based AI costs and product-level margins—ensuring tight timelines, high-quality reporting, and decisions grounded in unit economics.

In

this role you will... Engineering & R&D Financial Partnership:

• Serve as the primary finance partner to Engineering, Product, and Technical Operations leadership, translating technical roadmaps into financial plans and trade-offs

• Own R&D and Engineering budgeting and forecasting, including headcount, contractors, tooling, and vendor spend

• Build business cases and ROI for build-vs.
  
  -buy, vendor rationalization, and migration decisions

• Support software capitalization analysis with Accounting and track engineering efficiency metrics (e.g., R&D as a percent of revenue, cost per engineer)

Cost of Sales & Hosting Cost Management:

• Separate and forecast cost of sales vs. operating expense—including hosting, third-party software, support, and professional services—in line with GAAP and company policy

• Own the hosting and cloud cost model (public cloud, colocation, and data centers), including usage drivers, reserved capacity, and commit utilization

• Analyze infrastructure spend by service, product, and customer segment; drive optimization with Engineering/Fin Ops and support month-end accruals with Accounting

Infrastructure Contracts, Capacity & Data Center Strategy:

• Model infrastructure vendor contracts (cloud, CDN, colocation, network, hardware leases), including commits, tiered pricing, true-ups, overage exposure, and renewals

• Build capacity and build-out models for new infrastructure and data center footprints, including capex vs. opex, depreciation, lease accounting, and payback

• Evaluate owned/colocated data centers vs. public cloud, including migration costs, dual-running periods, and steady-state savings

AI & Consumption-Based Cost Modeling:

• Model consumption-based AI and platform costs, including token-based pricing (input/output, model tier, caching), GPU/compute, and inference costs

• Build driver-based forecasts linking customer adoption and per-unit cost to total spend, and assess the margin impact of AI features to inform pricing and packaging

• Establish unit-cost metrics (e.g., cost per token, transaction, active user, or tenant) and a reporting cadence to monitor them

Product Margin & Cost Allocation:

• Build and maintain product-level P&Ls and gross margin analyses combining SaaS subscription revenue with direct and allocated costs

• Design and document allocation methodologies for shared costs (hosting, support, R&D, IT, and Facilities) using drivers such as census, headcount, usage, and customers/users, for both forecasting and GAAP P&L reporting

• Calculate per-user and per-customer cost to serve, and analyze profitability by product, segment, and cohort to inform investment, pricing, and sunset/migration decisions

Financial Planning, Reporting & Process Improvement:

• Manage the annual budget and quarterly forecast cycles for a private-equity-owned SaaS company, aligning plans to organizational goals and strategic initiatives

• Ensure the accuracy and integrity of financial reporting, leveraging advanced Excel-based modeling and rigorous data analysis to produce actionable insights

• Prepare monthly, quarterly, and annual Board of Directors (BOD) and CFO reports highlighting engineering cost, hosting, and gross margin KPIs; develop P&Ls, finance slides, and quarterly business review (Q ) decks for Engineering and Product leadership with…