Temporal Technologies

Temporal Technologies

Senior Finance Manager, GTM

United States · Senior

Sponsorship not specified$212k-$265kDetected 173 days ago
SnowflakeTemporalData ScienceStatisticsSalesforceFinancial ModelingAccountingForecastingExcelFP&ALeadershipNetSuiteVariance Analysis

About the role

  • 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.

Responsibilities

  • 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.
  • Develop and maintain highly detailed financial models in Google Sheets and Excel
  • Perform scenario analysis, sensitivity analysis, and stress-testing to inform pricing, packaging, and GTM strategy.
  • Partner Closely With GTM, RevOps, and Data
  • Collaborate tightly with Data Science to evaluate forecast accuracy, diagnose variance, and improve model signal over time.
  • 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.

Requirements

  • this role requires expert-level proficiency.

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
  • 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.

Compensation

  • The estimated pay range for this role is $212,000-$265,000.
  • Own the end-to-end revenue forecast for consumption-based products, including short-term (weekly/monthly) and long-range (quarterly/annual) views.
  • Support annual planning, rolling forecasts, and budget updates with a heavy emphasis on revenue accuracy.

Benefits

  • Additionally, this role is eligible to participate in Temporal's equity plan.

This listing is sourced directly from Temporal Technologies's careers page and normalized into a canonical job model.