Senior Finance Manager, GTM

What You’ll Do

Revenue Forecasting in a Consumption Model

• 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.

Deeply Hands-On With Financial Modeling

• 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.

Partner Closely With GTM, RevOps, and Data

• 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.

Operate Effectively in a Hypergrowth Environment

• 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.

Cross-Functional Financial Leadership

• 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.

What You’ll Bring

Background & Experience

• 6-10 years of relevant experience, with early career training in 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).

Technical & Analytical Skills

• 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.

Execution & Mindset

• 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.

Nice to Have

• 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.

Compensation

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