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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