Senior Finance Manager, GTM

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.

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.

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.

• 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.

• Experience with SaaS and cloud metrics (NDR, usage efficiency, margin by product, CAC payback, LTV).
• Familiarity with tools such as NetSuite, Salesforce, Snowflake, or modern BI platforms.
• Prior experience working closely with Data Science teams on forecasting or predictive modeling.
• MBA or CFA is preferred, but not required

• The estimated pay range for this role is $168,000-$210,000.
• Additionally, this role is eligible to participate in Temporal’s equity plan.