Builds and leads financial modelling, pricing, and monetization analytics using AI/ML to support strategic decisions on profitability, commercial strategy, and resource allocation. Requires 5-7 years in SaaS finance, exceptional modelling skills, and hands-on AI/ML experience.
133k – 147k/yr
Remote5+ YOERevenue Operations
About the role
Key Responsibilities
Build and maintain financial and profitability models evaluating revenue and margin implications of strategic decisions, starting with pricing and commercial strategy.
Run scenario and sensitivity analyses on packaging, pricing changes, GTM strategies, and investment trade-offs, measured against NRR, ARR, and contribution margin.
Apply AI/ML tools, including LLMs and predictive modelling, to accelerate modelling, scenario generation, and reporting.
Build scalable, self-serve analytics tools for Finance, Pricing, Sales Ops, and business unit leaders.
Evaluate pricing changes through quantitative modelling of customer, revenue, and margin impact across segments and geographies.
Track pricing and monetization KPIs (discount compliance, revenue realization, contribution margin) and quantify impact of commercial governance decisions.
Deliver regular profitability and commercial performance reporting to ELT and GTM leadership, including frameworks to track strategic initiatives.
Partner with FP&A, Sales Ops, Revenue Assurance, and Finance Ops to integrate analytics into forecasting, planning, and risk remediation.
Act as primary analytical partner to Pricing, Sales Enablement, and business unit leaders; translate analysis into actionable recommendations.
Present findings, models, and recommendations to senior leadership, Board, and investors.
Required Skills & Qualifications
University degree in Finance, Business, Economics, or related quantitative field.
5–7 years in financial analysis, FP&A, or quantitative/strategic finance in SaaS or technology environment.
Exceptional financial modelling and scenario-analysis skills with track record building revenue, profitability, or pricing models.
Hands-on experience applying AI/ML tools (including LLMs and predictive modelling) to modernize modelling and reporting workflows.
Preferred Skills & Qualifications
Pricing or monetization experience.
Experience with BI tools (Power BI preferred) and executive-grade data visualization.
Exposure to Salesforce (SFDC), including Revenue Cloud Advanced (RCA).
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