Finance Director, GTM

Posted 2 Days Ago
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San Francisco, CA, USA
Hybrid
47K-310K Annually
Expert/Leader
Software
The Role
Own end-to-end revenue forecasting and financial modeling for a high-growth, consumption-based technology business. Build bottoms-up models using usage, cohorts, contract structures, and expansion behavior; partner with Data Science to improve predictive forecasts. Collaborate with GTM, RevOps, Accounting, Product, and leadership on scenario planning, headcount, pricing, revenue recognition, budgets, and executive reporting. Drive forecast accuracy, revenue predictability, and decision-making amid uncertainty and rapid growth.
Summary Generated by Built In
Role Summary

We are seeking a highly analytical, execution-oriented Finance Director to be based in San Francisco, CA and 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.

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

  • 8-10 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).

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

Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.

Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Skills Required

  • 8-10 years of relevant experience
  • Early-career training in investment banking, private equity, venture capital, revenue-focused FP&A, or strategic finance at a high-growth technology company
  • Experience operating in a hypergrowth environment
  • Expert-level Excel and Google Sheets skills
  • Ability to independently build complex, multi-layered financial models
  • Strong understanding of revenue forecasting mechanics, cohort analysis, ramp modeling, and expansion dynamics
  • Ability to partner with Data Science and Analytics teams and translate model outputs into financial forecasts
  • Ability to evaluate forecast performance, identify forecast-error drivers, and iterate assumptions
  • Strong communication skills for explaining complex financial concepts to non-finance stakeholders
  • Direct experience forecasting consumption-based or usage-driven revenue
  • Experience with SaaS and cloud metrics
  • Familiarity with NetSuite, Salesforce, Snowflake, or modern business intelligence platforms
  • Experience partnering with Data Science teams on forecasting or predictive modeling
  • MBA or CFA

Temporal Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Temporal Technologies and has not been reviewed or approved by Temporal Technologies.

  • Healthcare Strength Healthcare coverage is described as 100% employer-paid for medical, dental, and vision, with AD&D, short- and long-term disability, and life insurance included. Feedback suggests this breadth and cost coverage is a strong differentiator for a remote-first employer.
  • Leave & Time Off Breadth Time off includes unlimited PTO alongside 12 standard holidays and 2 floating holidays. Feedback suggests this structure supports rest and recharge across teams.
  • Wellbeing & Lifestyle Benefits Wellbeing and remote-work support include a home office stipend, internet reimbursement, WFH meals, Calm app access, a lifestyle spending account, and learning/professional membership budgets. Feedback suggests these perks enhance overall total rewards beyond base pay.

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The Company
HQ: Bellevue, Washington
501 Employees
Year Founded: 2019

What We Do

Temporal develops and distributes the world's leading open source durable execution system. We make code fault tolerant, durable and simple. Innovative companies like Datadog, Glovo, Indeed, Netflix, Qualtrics, Remitly, Snap and Yum! Brands build their services and applications with Temporal to make them reliable to run, productive to enhance and easy to troubleshoot and repair. More than a decade in the making, Temporal is powered by veterans behind some of the industry's most loved systems technologies, programming frameworks and open source communities as well as investors like Amplify Partners, Sequoia Capital and Index Ventures.

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