jobapplier

Revenue Operations Manager

Scale AI

Skills

Required

  • revenue operations
  • AI
  • pipeline coverage
  • stage-gate qualification framework
  • MEDDIC
  • multi-threaded
  • built dashboards
  • sales operations
  • GTM strategy
  • SaaS / PaaS / AI infrastructure

Preferred

  • Build and maintain dashboards
  • Sigma
  • SQL
  • BigQuery

Join our team as a Revenue Operations Manager for Enterprise GTM. In this individual contributor role, you will own the measurement layer of our go-to-market engine, providing real-time visibility into pipeline health, stage conversion, sales velocity, and more. You will work closely with our enterprise new logo and expansion teams across various sectors, including healthcare, financial services, and the public sector. Your insights will drive strategic decisions and shape the future of our business.

USD 207,200 - 259,000

About Scale AI

Time in management consulting, investment banking, or PE counts toward this when paired with in-house operating experience

Responsibilities

  • Own the measurement layer of the go-to-market engine, including pipeline health, stage conversion, sales velocity, and attainment against plan.
  • Build and maintain dashboards that provide real-time visibility into key metrics, establish a single agreed definition for every core metric, and report bookings, recognized revenue, and consumption.
  • Turn data into insight by answering complex questions, building leading indicators, pressure-testing forecasts, and producing analysis behind strategic bets.
  • Structured under ambiguity. You can take a vague, badly-posed question, structure it from scratch, find the root cause, and build a system that keeps it from recurring
  • Analytically hands-on. Deep Salesforce reporting fluency, strong command of at least one BI layer (Looker, Hex, Tableau, Sigma), and comfort writing SQL against a warehouse (Snowflake, BigQuery, Databricks). You build the analysis yourself
  • Commercially and technically curious. You will need to speak credibly about our AI products, our differentiators, and the objections enterprise buyers raise around deployment, security, and data
  • Persuasive with executives. You can challenge the field's forecast with data in a room of senior leaders and keep the relationship intact

Requirements

  • Enterprise sales fluency. You know pipeline coverage math cold, you have worked inside a stage-gate qualification framework such as MEDDIC, and you understand what actually moves a seven-figure, multi-threaded, multi-year deal
  • A track record of reporting people use. You have built dashboards that changed decisions, not dashboards that nobody opens. You can tell the difference and you optimize for the former
  • 8+ years in revenue operations, sales operations, GTM strategy, or a highly quantitative business operations role at a high-growth B2B SaaS, PaaS, or AI infrastructure company
  • Genuinely interested in using AI to do this job better, not just to report on selling it
  • Experience in a business with a mixed revenue model (services, platform, consumption) where bookings, revenue, and recognized revenue diverge meaningfully
  • Experience standing up reporting for a sales development organization from scratch
  • Experience supporting regulated verticals (healthcare and life sciences, financial services) or public sector, where procurement cycles and compliance gates distort the funnel