About Cirrascale
Cirrascale Cloud Services provides high-performance cloud infrastructure purpose-built for deep learning, generative AI, and large-scale AI inference workloads. We specialize in dedicated GPU cloud solutions tailored to the unique needs of startups, research labs, and enterprise AI teams. Our mission is to accelerate AI innovation by combining powerful hardware with white-glove service and flexible, custom-built environments.
Position Overview
The Revenue Operations FP&A Lead owns the financial planning, forecasting, and incentive backbone of the revenue engine. This role manages revenue forecasting and unit economics modeling, owns commissions end to end across all customer-facing roles, and assembles the unified revenue reporting layer for the executive team.
In an AI infrastructure environment, this role is especially focused on blending recurring revenue forecasting with usage-driven economics, cohort modeling on a growing customer base, and incentive design that aligns to long-term growth quality.
This is the foundational FP&A role in Revenue Operations, reporting to the Head of Revenue Operations with cross-functional partnership across Finance, HR, Sales leadership, and the broader leadership team.
Key Responsibilities
Revenue Forecasting and Planning
Own weekly, monthly, quarterly, and annual revenue forecasts, including rolling forecasts, scenario analysis, and variance reporting
Build and maintain driver-based models using HubSpot pipeline data, historical performance, cohort trends, and sales productivity assumptions
Forecast across contract revenue, recurring subscriptions, and usage-based revenue streams
Deliver actionable insights on forecast risk, pipeline quality, conversion trends, and revenue attainment
Partner with the CRO and CFO on board-level forecast commitments and scenario planning
Unit Economics and Portfolio Analysis
Build and maintain models for CAC, LTV, retention, expansion, and overall sales efficiency at the cohort and portfolio level
Partner with the Deal Desk & Pricing Lead on deal-level gross margin inputs that feed into portfolio-level unit economics
Analyze segment performance, customer cohort behavior, and revenue mix trends
Translate unit economics into actionable insights on GTM investment, segment prioritization, and growth quality
Sales Finance and Commissions
Manage commissions end to end: plan support, calculations, accruals, payouts, and process governance across all customer-facing roles
Partner with the Head of Revenue Operations, CRO, CFO, and Head of HR to ensure compensation plans align to company goals and revenue strategy
Analyze incentive effectiveness and recommend improvements tied to performance, profitability, and growth quality
Improve the scalability, transparency, and auditability of commission processes
Manage the operational mechanics of draws, accelerators, decelerators, and any non-standard compensation treatments
Revenue Performance Reporting and Unified Reporting Layer
Produce executive-ready reporting on revenue performance, forecast accuracy, sales productivity, and commission economics
Assemble the unified revenue reporting layer: integrate deal economics and pricing realization inputs from Deal Desk & Pricing with revenue performance and forecast inputs owned by FP&A
Translate financial and operational data into clear business narratives for the CRO, CFO, and executive team
Partner cross-functionally with Revenue Operations, Sales, Finance, and Product on data quality and decision support
Help establish a scalable reporting foundation across CRM, BI, finance, and commission systems
Cross-Functional Collaboration
Partner with Deal Desk & Pricing on unit economics (deal-level gross margin feeds into cohort-level CAC, LTV, and portfolio analysis)
Partner with Finance on revenue recognition, accrual accounting, and the close cycle
Partner with Sales leadership on quota attainment analysis and incentive plan effectiveness
Required Qualifications
5+ years of experience in FP&A, sales finance, revenue operations, or related analytical roles
Experience in cloud, AI infrastructure, or technology environments strongly preferred
Advanced Excel and financial modeling skills; strong SQL and Tableau or Power BI proficiency
Experience working with HubSpot; commission systems experience (CaptivateIQ, QuotaPath, Spiff, Xactly, or similar) is a plus
Strong background in forecasting, commission management, and unit economics modeling
Solid understanding of revenue recognition principles and SaaS or recurring revenue accounting
Strong communication skills with the ability to present complex analyses clearly to executive stakeholders
Bachelor's degree in Finance, Business, Economics, or a related field required
Preferred Profile
Comfortable operating in a high-growth environment with evolving processes and cross-functional ambiguity
Able to bridge strategic finance and day-to-day operations
Strong analytical judgment with the ability to translate models into recommendations leadership can act on
Analytical storyteller who can move from raw data to practical insights quickly and credibly
Compensation and Benefits
We are committed to supporting the people who help us grow. We offer a competitive compensation package that includes base salary, performance bonuses and stock option opportunities.
The base salary range for the Revenue Operations FP&A Lead is $155,000 to $180,000. This pay range reflects the broad, minimum to maximum, pay range for this job for the location for which it has been posted. Compensation decisions are dependent on several factors including, but not limited to, an individual’s qualifications, location where the role is to be performed, internal equity, and alignment with market data.
Our benefits package includes comprehensive medical, dental, vision coverage, 401(k) with company match, generous paid time-off and professional development support.
Why Join Cirrascale?
Join a growing team that's pushing the boundaries of AI infrastructure. At Cirrascale, you’ll contribute to projects powering next-generation AI applications while working with top-tier hardware in a collaborative and innovative environment. From custom deployments to hands-on customer support, every role here plays a part in enabling breakthroughs in AI.
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Cirrascale Cloud Services is a US-based provider of dedicated, multi-GPU cloud infrastructure for AI and deep learning workloads, offering accelerators from NVIDIA, AMD, Qualcomm and others with no egress fees plus managed services. It targets AI/ML developers and enterprises.
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