Senior Finance Manager, Temporal Technologies

• The ideal candidate has early career training in investment banking, private equity / venture capital, or revenue-focused FP&A, followed by experience supporting a technology startup during its hypergrowth period, ideally with a consumption or usage-based revenue model
• 6-10 years of relevant experience, with early career training in one or more of the following:
• Investment Banking
• Private Equity or Venture Capital
• Revenue-focused FP&A or Strategic Finance at a high-growth technology company
• Direct experience forecasting consumption-based or usage-driven revenue is strongly preferred
• Experience operating in a hypergrowth environment (rapid customer growth, evolving GTM motion, limited historical data)
• Expert-level Excel and Google Sheets skills; must be able to independently build complex, multi-layered financial models
• Strong understanding of revenue forecasting mechanics, cohort analysis, ramp modeling, and expansion dynamics
• Comfort partnering closely with Data Science and Analytics teams, translating model outputs into financial forecasts and decisions
• Ability to evaluate model performance, understand drivers of forecast error, and iterate assumptions accordingly
• Highly iterative and action-oriented; comfortable revising forecasts frequently as new information becomes available
• Strong judgment under uncertainty; able to make and defend assumptions when data is incomplete or signals conflict
• Direct, clear communicator who can explain complex financial concepts to non-finance stakeholders
• High ownership mentality with a bias toward accountability and results

Desirable

• We are seeking a highly analytical, execution-oriented Senior Finance Manager to own revenue forecasting and financial modeling for a consumption-based, high-growth business
• This role is critical to how we understand, predict, and scale revenue in a usage-driven model where accuracy, iteration speed, and judgment under uncertainty matter
• This role will work in close, ongoing partnership with a dedicated Data Scientist focused on consumption forecasting, combining financial judgment and GTM context with statistical modeling, usage data, and predictive analytics
• Together, you will build, test, and evolve the company’s core consumption and revenue forecasting frameworks
• The person in this seat must be deeply hands-on in Excel / Google Sheets, capable of building and rebuilding complex forecasting models, and comfortable iterating daily as new data, usage patterns, and GTM motions evolve
• You will partner closely with GTM leadership, RevOps, Data, Product, Accounting, and consumption forecasting Data Science to drive forecasting accuracy, revenue predictability, and decision-making at scale
• Own the end-to-end revenue forecast for consumption-based products, including short-term (weekly/monthly) and long-range (quarterly/annual) views
• Build and maintain bottoms-up forecasting models that incorporate usage drivers, customer cohorts, ramp curves, contract structures (committed vs. PAYG), and expansion behavior
• Partner closely with Data Science to align financial forecasts with statistical consumption models, usage signals, and predictive outputs
• Continuously refine forecasts based on actuals, usage trends, pipeline changes, and GTM performance - iteration speed and accuracy are core expectations
• Develop and maintain highly detailed financial models in Google Sheets and Excel; this role requires expert-level proficiency
• Translate outputs from data science models into clear financial assumptions, scenarios, and executive-ready forecasts
• Perform scenario analysis, sensitivity analysis, and stress-testing to inform pricing, packaging, and GTM strategy
• Translate ambiguous or incomplete data into structured assumptions and clearly documented models
• Work directly with Sales, RevOps, and GTM leadership to connect pipeline, bookings, usage, and revenue outcomes
• Collaborate tightly with Data Science to evaluate forecast accuracy, diagnose variance, and improve model signal over time
• Analyze ARR vs. consumption dynamics, net dollar retention, expansion behavior, and usage efficiency by segment and customer cohort
• Support forecasting for new GTM motions, pricing changes, and product launches
• Lead headcount and tooling investment planning, partnering with functional leaders to translate growth plans into hiring roadmaps, tooling needs, and expense forecasts
• Support a business that is scaling rapidly, where historical data is imperfect and judgment matters
• Help design forecasting processes that combine data-driven rigor with financial intuition and can scale over time
• Prepare materials and insights for QBRs, executive reviews, and board discussions, with a focus on revenue predictability, risk, and forecast confidence
• Partner with Accounting on revenue recognition considerations and variance analysis tied to usage-based billing
• Support annual planning, rolling forecasts, and budget updates with a heavy emphasis on revenue accuracy
• Proactively identify risks and opportunities in the revenue model and communicate them clearly to leadership