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 FinOps 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 shared expenses, including hosting, support, R&D, IT, and facilities, using appropriate allocation drivers such as headcount, usage, customer volume, and user populations.
Ensure allocation methodologies support both financial forecasting and GAAP-compliant reporting.
Calculate cost-to-serve metrics per user and customer, analyzing profitability across products, business segments, and customer cohorts.
Provide financial insights to inform product investment decisions, pricing strategies, and potential product migration or discontinuation.
Financial Planning, Reporting & Process Improvement: Manage annual budgeting and quarterly forecasting cycles, ensuring alignment with organizational objectives and strategic priorities.
Ensure the accuracy, consistency, and integrity of financial reporting through advanced financial modeling, detailed data analysis, and effective controls.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

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