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Senior Financial Planning & Analysis Manager

Job in Fresno, Fresno County, California, 94199, USA
Listing for: Remote
Full Time position Listed on 2026-11-10
Job specializations:
  • Finance & Banking
    Financial Analyst, Corporate Finance
Salary/Wage Range or Industry Benchmark: 122000 - 196000 USD Yearly USD 122000.00 196000.00 YEAR

Job Description & How to Apply Below

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Financial Planning & Analysis Manager based in the United States.

This is a strategic finance leadership opportunity for an experienced FP&A professional to support Engineering, Product, and Technical Operations within a growing SaaS technology environment. In this role, you will oversee financial planning, forecasting, and performance analysis across software development, cloud infrastructure, hosting, and AI-powered services. You will play a critical role in translating complex technical investments into actionable financial insights, helping optimize costs, improve product profitability, and guide strategic business decisions.

Working closely with senior leadership and cross-functional teams, you will drive financial transparency and strengthen the organization's understanding of SaaS unit economics. You will also lead sophisticated financial modeling initiatives, including infrastructure investments, consumption-based AI costs, and product-level profitability assessments. This position offers the opportunity to combine advanced financial expertise, technology-driven analysis, and strategic business partnership in a dynamic, private-equity-owned organization.

Accountabilities:
  • Engineering & R&D Financial Partnership: Serve as the primary finance partner to Engineering, Product, and Technical Operations leadership, translating technical roadmaps into financial plans, investment priorities, and strategic trade-offs.

  • Lead budgeting and forecasting activities for R&D and Engineering, covering workforce planning, contractors, software tools, and vendor expenditures.

  • Develop financial business cases and ROI analyses for build-versus-buy decisions, vendor optimization, infrastructure migrations, and strategic technology investments.

  • Partner with Accounting on software capitalization assessments and monitor engineering efficiency indicators, including R&D spending as a percentage of revenue and cost per engineer.

  • Cost of Sales & Hosting Cost Management: Establish and maintain financial forecasts that distinguish cost of sales from operating expenses, including hosting, third-party software, technical support, and professional services, in accordance with GAAP and internal policies.

  • Own the financial modeling of cloud and hosting infrastructure across public cloud platforms, colocation facilities, and data centers, incorporating usage drivers, reserved capacity, and contractual commitments.

  • Analyze infrastructure spending by service, product, and customer segment, collaborating with Engineering and Fin Ops teams to identify cost optimization opportunities.

  • Support monthly financial close processes by coordinating infrastructure cost analysis and accruals with Accounting.

  • Infrastructure Contracts & Capacity Planning: Model and evaluate infrastructure vendor agreements covering cloud services, content delivery networks (CDNs), colocation, networking, and hardware leases.

  • Assess contractual commitments, tiered pricing structures, usage adjustments, overage exposure, renewals, and financial implications of vendor agreements.

  • Develop capacity planning and infrastructure expansion models for new data center investments, evaluating capital expenditures, operating expenses, depreciation, lease accounting, and investment payback.

  • Compare owned or colocated data center infrastructure with public cloud alternatives, assessing migration costs, transition periods, dual-running expenses, and long-term savings.

  • AI & Consumption-Based Cost Modeling: Develop financial models for AI and platform consumption costs, including token-based pricing, input and output usage, model tiers, caching, GPU resources, computing capacity, and inference expenses.

  • Build driver-based forecasts connecting customer adoption, usage patterns, and unit costs to overall technology spending.

  • Assess the financial and gross margin implications of AI-powered product features to support pricing, packaging, and investment decisions.

  • Establish and monitor unit-cost indicators, such as cost per token, transaction, active user, or customer tenant, and implement regular reporting processes.

  • Product Margin & Cost Allocation: Develop and maintain product-level profit and loss statements (P&Ls) and gross margin analyses, combining SaaS subscription revenue with direct and allocated expenses.

  • Design, document, and maintain cost allocation methodologies for…

Position Requirements

10+ Years work experience
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