
Senior Manager, FP&A
Posted Oct 21

Posted Oct 21
This is a fully remote position, open to applicants in United States.
• Provide precise forecasts for revenue and operating profit.
• Take ownership of the monthly performance package, which includes KPI scorecards, margin bridges, variance analysis, and executive recommendations.
• Develop and maintain driver-based models for revenue, margin, headcount, and cash flow.
• Create and oversee SaaS/ARR reporting, incorporating NRR, cohort analysis, CAC/LTV, and unit economics.
• Lead the annual budgeting process.
• Construct multi-scenario models for runway, profitability, and capital allocation.
• Execute scenario planning and sensitivity analyses related to pricing, go-to-market investments, and headcount decisions.
• Assist with M&A diligence and integration modeling, including quality of earnings assessments.
• Collaborate with the Director/VP of FP&A on diligence efforts.
• Work alongside Operations, People, and Sales to ensure plan integrity and accuracy in headcount forecasting.
• Potentially oversee a direct report as the team grows.
• 6–9 years of progressive experience in FP&A, particularly in a high-growth or PE-backed SaaS setting.
• Strong understanding of SaaS/subscription business models and metrics, including ARR, MRR, NRR, cohort analysis, CAC/LTV, and unit economics.
• Proficient in driver-based forecasting methodologies.
• Demonstrated capability to construct and maintain sophisticated, audit-ready operating models that link financial signals to business drivers.
• Ability to navigate through unclean data, undefined processes, and ambiguity in a lean, resource-limited environment.
• Some experience with M&A diligence and/or integration modeling.
• Advanced skills in structured, version-controlled Excel or Google Sheets modeling.
• SQL proficiency is strongly preferred.
• Familiarity with private equity-backed reporting standards and investor-style board meeting rhythms.
• Skilled in scenario planning, including setting target and stretch financial goals.
• Hands-on experience or a strong interest in AI tools such as Claude for modeling, analysis, and reporting.
• A systems-thinking approach focused on automation, clarity in processes, and data integrity.
• Health benefits.
• Flexible paid time off.
• Parental leave.
• Fertility and adoption assistance.
• 401(k) plan.
• Educational reimbursement.
• Reasonable accommodations provided during the application and interview process.
• Human oversight of automated assessment tools.
• Option to request an alternative evaluation process or opt out of automated assessment steps as permitted by local law.
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