Senior Finance Manager (GTM)
Temporal Technologies · San Francisco, United States
About The Role
Join our team as a Senior Finance Manager, where you will be responsible for revenue forecasting and financial modeling for a high-growth, consumption-based business. You will work closely with a dedicated Data Scientist and various departments to drive forecasting accuracy, revenue predictability, and decision-making at scale. This role requires expert-level proficiency in Google Sheets and Excel, as well as a strong understanding of revenue forecasting mechanics and experience in a hypergrowth environment. Enjoy a remote-first work culture, comprehensive healthcare benefits, flexible time off, and various perks to support your professional growth and well-being.
- Posséder la responsabilité de la prévision des revenus et de la modélisation financière pour une entreprise en forte croissance basée sur la consommation.
- Collaborer étroitement avec une équipe de Data Science dédiée pour aligner les prévisions financières avec les modèles de consommation statistiques.
- Développer et maintenir des modèles de prévision détaillés qui intègrent les moteurs d'utilisation, les cohortes de clients, les courbes de montée en charge et les comportements d'expansion.
- 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
- Investment Banking
- Direct, clear communicator who can explain complex financial concepts to non-finance stakeholders
- Direct experience forecasting consumption-based or usage-driven revenue is strongly preferred
- 6-10 years of relevant experience, with early career training in one or more of the following:
- Strong judgment under uncertainty; able to make and defend assumptions when data is incomplete or signals conflict
- High ownership mentality with a bias toward accountability and results
- Private Equity or Venture Capital
- 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
- Comfort partnering closely with Data Science and Analytics teams, translating model outputs into financial forecasts and decisions
- Strong understanding of revenue forecasting mechanics, cohort analysis, ramp modeling, and expansion dynamics
- Revenue-focused FP&A or Strategic Finance at a high-growth technology company
- Experience with SaaS and cloud metrics (NDR, usage efficiency, margin by product, CAC payback, LTV)
- Expert-level Excel and Google Sheets skills; must be able to independently build complex, multi-layered financial models
- Experience operating in a hypergrowth environment (rapid customer growth, evolving GTM motion, limited historical data)
- Prior experience working closely with Data Science teams on forecasting or predictive modeling
- Familiarity with tools such as NetSuite, Salesforce, Snowflake, or modern BI platforms
- MBA or CFA is preferred, but not required
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