Senior Finance Manager, Gtm

Temporal · Enterprise · United States · Finance

Seeking a Senior Finance Manager to own revenue forecasting and financial modeling for a consumption-based, high-growth business. This role requires close partnership with a Data Scientist focused on consumption forecasting, combining financial judgment with statistical modeling, usage data, and predictive analytics to build and evolve core forecasting frameworks. Must be deeply hands-on in Excel/Google Sheets and comfortable iterating daily.

What you'd actually do

  1. Own the end-to-end revenue forecast for consumption-based products, including short-term (weekly/monthly) and long-range (quarterly/annual) views.
  2. Build and maintain bottoms-up forecasting models that incorporate usage drivers, customer cohorts, ramp curves, contract structures (committed vs. PAYG), and expansion behavior.
  3. Partner closely with Data Science to align financial forecasts with statistical consumption models, usage signals, and predictive outputs.
  4. Continuously refine forecasts based on actuals, usage trends, pipeline changes, and GTM performance - iteration speed and accuracy are core expectations.
  5. Develop and maintain highly detailed financial models in Google Sheets and Excel; this role requires expert-level proficiency.

Skills

Required

  • Excel
  • Google Sheets
  • financial modeling
  • revenue forecasting
  • consumption-based revenue models
  • usage-based revenue models
  • statistical modeling
  • predictive analytics
  • cohort analysis
  • ramp modeling
  • expansion dynamics
  • scenario analysis
  • sensitivity analysis
  • stress-testing
  • data analysis
  • variance analysis

Nice to have

  • investment banking
  • private equity
  • venture capital
  • revenue-focused FP&A
  • hypergrowth startup experience

What the JD emphasized

  • consumption-based revenue
  • usage-driven model
  • accuracy, iteration speed, and judgment under uncertainty matter
  • deeply hands-on in Excel / Google Sheets
  • building and rebuilding complex forecasting models
  • iterating daily
  • consumption-based products
  • usage drivers
  • customer cohorts
  • ramp curves
  • contract structures
  • expansion behavior
  • statistical consumption models
  • usage signals
  • predictive outputs
  • actuals, usage trends, pipeline changes, and GTM performance
  • iteration speed and accuracy are core expectations
  • highly detailed financial models
  • expert-level proficiency
  • pricing, packaging, and GTM strategy
  • ambiguous or incomplete data
  • structured assumptions
  • clearly documented models
  • pipeline, bookings, usage, and revenue outcomes
  • evaluate forecast accuracy
  • diagnose variance
  • improve model signal over time
  • ARR vs. consumption dynamics
  • net dollar retention
  • expansion behavior
  • usage efficiency by segment and customer cohort
  • new GTM motions, pricing changes, and product launches
  • headcount and tooling investment planning
  • hiring roadmaps
  • tooling needs
  • expense forecasts
  • scaling rapidly
  • historical data is imperfect
  • judgment matters
  • data-driven rigor
  • financial intuition
  • scale over time
  • revenue predictability, risk, and forecast confidence
  • revenue recognition considerations
  • variance analysis tied to usage-based billing
  • annual planning
  • rolling forecasts
  • budget updates
  • revenue accuracy
  • risks and opportunities in the revenue model
  • Direct experience forecasting consumption-based or usage-driven revenue is strongly preferred.
  • Experience operating in a hypergrowth environment
  • Expert-level Excel and Google Sheets skills
  • independently build complex, multi-layered financial models
  • revenue forecasting mechanics
  • cohort analysis
  • ramp modeling
  • expansion dynamics
  • partnering closely with Data Science and Analytics teams
  • translating model outputs into financial forecasts and decisions
  • evaluate model performance
  • understand drivers of forecast error
  • iterate assumptions accordingly
  • Highly iterative and action-oriented
  • revising forecasts frequently