Financial Planning and Analysis Manager

Who We Are

Atlas Cloud is a rapidly growing AI infrastructure and platform company that helps developers and enterprises build, deploy, and scale AI applications. Our platform provides unified access to advanced AI models and GPU-powered infrastructure through flexible, usage-based pricing. As customer adoption and transaction volumes grow, we are building the financial and operational foundation needed to support a scalable, data-driven, and globally competitive business.

About the Role

We are seeking an experienced FP&A Manager to lead financial planning, forecasting, performance analysis, and strategic decision support across the organization. This role requires prior experience supporting a usage-based, transaction-based, or consumption-driven business model in which revenue and costs fluctuate based on customer activity, transaction volume, platform usage, or similar operating metrics.

The ideal candidate can translate complex operational data into reliable financial forecasts, identify the drivers behind business performance, and provide leadership with clear, actionable insights. This is a hands-on role suited for someone comfortable building financial models, partnering across departments, and improving planning processes within a growing organization.

Key Responsibilities

Financial planning and forecasting

• Support the annual budgeting process and maintain rolling forecasts for revenue, expenses, cash flow, and headcount.
• Build and maintain driver-based financial models that connect customer usage and transaction activity to revenue, cost of service, gross margin, and cash flow.
• Forecast revenue based on factors such as transaction volume, customer consumption, pricing tiers, contract terms, customer behavior, and seasonality.
• Develop scenario and sensitivity models to assess the financial impact of changes in pricing, usage, customer growth, utilization, and operating costs.
• Partner with the finance team to ensure forecasts align with actual financial results and applicable revenue-recognition policies.
• Support long-range planning, capital allocation, and strategic investment decisions.

Usage and transaction analysis

• Analyze customer-level and model-level usage patterns, transaction volumes, pricing, and revenue performance.
• Monitor the relationship between operational activity, billable usage, recognized revenue, infrastructure costs, and gross margin.
• Develop forecasts that account for minimum commitments, variable consumption, tiered pricing, discounts, credits, and contract-specific terms.
• Evaluate unit economics, including revenue per transaction, cost per transaction, contribution margin, customer profitability, and usage-based retention.
• Identify anomalies and emerging trends in customer usage, billing, revenue, and service-delivery costs.
• Support the evaluation of new pricing structures, product offerings, and commercial agreements.

Reporting and business partnership

• Prepare monthly and quarterly management reporting, including budget-to-actual results, forecast updates, and variance analysis.
• Develop dashboards and KPI reporting for executive leadership and other business stakeholders.
• Translate financial and operational data into clear recommendations for leadership.
• Partner with department leaders to develop budgets, assess spending, and monitor performance against established goals.
• Provide financial support for customer proposals, pricing decisions, new product launches, and strategic initiatives.
• Present financial results, risks, opportunities, and recommendations to senior leadership.
• Partner with Engineering and Data teams to ensure data integrity and define business logic for usage-based metrics.

Process and systems improvement

• Improve forecasting methodologies for usage-based revenue and variable service-delivery costs.
• Establish consistent definitions and ownership for financial and operating KPIs.
• Create scalable planning, reporting, and performance-management processes.
• Partner with finance and sales teams to reconcile operational usage data with billing and financial reporting.
• Evaluate and implement FP&A systems, business-intelligence tools, and automated reporting solutions.
• Strengthen controls around financial models, data sources, assumptions, and reporting.

Qualifications

• Bachelor's degree in Finance, Accounting, Economics, Business, or a related field.
• 5–7+ years of progressive experience in FP&A, strategic finance, corporate finance, or a related analytical role.
• At least 2–3 years of experience supporting a usage-based, transaction-based, or consumption-driven revenue model.
• Demonstrated experience building driver-based revenue, expense, and cash-flow forecasts.
• Strong understanding of the relationship between customer activity, billing data, revenue, variable costs, and margins.
• Experience performing variance analysis, scenario modeling, unit-economic analysis, and management reporting.
• Advanced proficiency in Excel or Google Sheets, including complex financial models.
• Experience working with ERP, financial-planning, business-intelligence, and data-visualization platforms.
• Ability to work with large datasets and reconcile information across financial, billing, CRM, and operational systems.
• Strong analytical judgment, attention to detail, and problem-solving skills.
• Ability to explain complex financial concepts clearly to both finance and non-finance stakeholders.
• Comfortable operating independently in a fast-paced environment with evolving priorities.

Preferred Qualifications

• MBA, CPA, CFA, or another relevant professional qualification.
• Experience in SaaS, fintech, payments, cloud infrastructure, AI compute, digital assets , or another transaction-intensive industry.
• Experience forecasting revenue under tiered, volume-based, pay-as-you-go, or minimum-commitment pricing models.
• Familiarity with ASC 606 and the financial implications of usage-based fees and variable consideration.
• Experience analyzing infrastructure utilization, compute consumption, platform activity, or payment-processing volume.
• Working knowledge of SQL and experience with tools such as Power BI, Tableau, Looker, or similar platforms.
• Experience supporting U.S.-based entities, executive leadership, board reporting, or public-company requirements.

What Success Looks Like

• Revenue forecasts accurately reflect customer usage, transaction activity, pricing, and contract terms.
• Leadership has clear visibility into the drivers of revenue, cost, margin, and cash flow.
• Usage and billing data reconcile consistently with financial reporting.
• Customer and product profitability can be evaluated at a meaningful level.
• Forecast variances are identified early and explained clearly.
• Pricing and investment decisions are supported by reliable financial analysis.
• FP&A processes and reporting become more scalable as the business grows.