Drimva

Scale AI

Revenue Operations Manager

$207K–$259K

San Francisco, CA +1 · Manager · Full-time · Posted Oct 2, 2026

Location
San Francisco, CA
San Francisco, California, United States
Experience
8+ years; consulting, investment banking, or PE experience counts when paired with in-house operating experience.

About the job

Owns enterprise go-to-market measurement, reporting, forecasting, and analysis to guide revenue operations and strategic decisions.

What you'll do

  • Build and maintain enterprise dashboards, define core metrics, and run pipeline reviews, forecast calls, and business and board reporting.
  • Analyze funnel performance, pressure-test forecasts, identify risks and opportunities, and recommend changes to capacity, territories, and pipeline investment.
  • Maintain GTM data integrity and reporting systems; support planning and commission design with GTM Engineering, Finance, and Legal.

What they ask for

  • 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; consulting, banking, or PE experience counts when paired with in-house operating experience.
  • Deep Salesforce reporting fluency, command of at least one BI layer, and comfort writing SQL against a data warehouse.
  • Experience with enterprise pipeline coverage and a stage-gate qualification framework such as MEDDIC; understanding of complex, seven-figure enterprise deals.
  • Ability to build useful reporting, structure ambiguous questions, and persuasively challenge forecasts with executives.

Nice to have

  • Experience with mixed revenue models where bookings, revenue, and recognized revenue diverge.
  • Experience supporting regulated verticals or public sector, or building sales development reporting from scratch.

Pay

$207,200–$259,000 USD base salary

Tools

Salesforce, Clari, Outreach, ZoomInfo, LinkedIn Sales Navigator, Clay, Looker, Hex

AI focus

Use AI to accelerate analysis, including signal-based enrichment, automated variance commentary, and first-draft business review narratives; the posting also seeks genuine interest in applying AI to improve the job.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)