Revenue Operations Manager

Scale AI · San Francisco, CA · GTM · listed October 2, 2026

The shape of it

Seniority
Manager
Where
Not stated
Stated pay
$207,200 – $259,000 USD
Requirements listed
8
Length
1,424 words

In the posting’s own words

As Revenue Operations Manager for Enterprise GTM, you will own the measurement layer of our go-to-market engine. You will be the key to what is in the pipeline, what is converting, what is slipping, and, most importantly, why, and the . Your primary customers are our enterprise new logo and expansion teams across healthcare and life sciences, financial and professional services, TMT and energy, and public sector.

What it asks for · 8

  • 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. Time in management consulting, investment banking, or PE counts toward this when paired with in-house operating experience.
  • 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.
  • 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.
  • 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.
  • 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.
  • Genuinely interested in using AI to do this job better, not just to report on selling it.

Also a plus

  • Experience in a business with a mixed revenue model (services, platform, consumption) where bookings, revenue, and recognized revenue diverge meaningfully.
  • Experience supporting regulated verticals (healthcare and life sciences, financial services) or public sector, where procurement cycles and compliance gates distort the funnel.
  • Experience standing up reporting for a sales development organization from scratch.

Tools and skills named

Go to market
  • Go-to-market7×
  • Salesforce3×
  • Enterprise sales
  • Partnerships
  • Pipeline generation
  • SaaS
Data
  • Databricks
  • Looker
  • Snowflake
  • Tableau
Languages
  • SQL
Security & compliance
  • Security

Words the posting leans on

  • enterprise10×
  • pipeline10×
  • reporting8×
  • sales8×
  • revenue6×
  • vertical6×
  • build5×
  • coverage5×
  • data5×
  • gtm5×
  • dashboards4×
  • experience4×
  • forecast4×
  • leadership4×
  • operations4×
  • questions4×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched October 2, 2026 and last changed by Scale AI on October 2, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.