Greenhouse ·
full-timeRevenue Operations Manager
Scaleai · San Francisco, CA
Scaleai is a company in the AI infrastructure space that focuses on providing data and machine learning solutions. As a Revenue Operations Manager for Enterprise GTM, you will serve as the primary owner of the company's go-to-market measurement and reporting systems. This individual contributor role involves building and maintaining dashboards to track pipeline health, sales velocity, and attainment across various enterprise verticals. You will be responsible for defining core metrics, ensuring data integrity within the CRM, and providing actionable insights to leadership, including the VP of Enterprise GTM and the board. Day-to-day tasks include running forecast calls, managing the operating cadence for business reviews, and diagnosing performance trends to recommend strategic adjustments. You will also collaborate with GTM Engineering to automate reporting and support planning processes such as territory design and compensation modeling. This position is well-suited for a highly quantitative professional with extensive experience in revenue or sales operations within B2B SaaS or AI infrastructure environments, who possesses the ability to translate complex data into clear narratives for senior stakeholders.
About the role 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. We treat go-to-market as an engineered system. Architecture and design sit with the Director you report to. Instrumentation, measurement, and diagnosis sit with you. This is an individual contributor role with a wide mandate and real exposure. You will not manage a team. You will own numbers that go to the VP of Enterprise GTM, the executive staff, and the board. What you'll do Own the enterprise reporting layer Build and maintain dashboards that give real-time visibility into pipeline health, stage conversion, sales velocity, coverage ratios, and attainment against plan, cut by vertical, segment, and rep. Establish a single agreed definition for every core metric (pipeline created, qualified pipeline, coverage multiple, win rate, cycle time, ACV, committed vs. consumed) and defend it. One number, one source, one definition. Report bookings, recognized revenue, and consumption as the distinct measures they are, and make the bridge between them legible to people who do not live in the model. Run the operating cadence: weekly pipeline reviews, forecast calls in Salesforce and Clari, MBRs, QBRs, and the enterprise section of board reporting. Build stakeholder-specific, self-serve views so vertical leaders, sales development, and partnerships can answer their own routine questions without opening a ticket with you. Turn the data into insight Answer the hard "why" questions, e.g., why Stage 3 conversion dropped in financial services, which sourcing motions produce the highest-ACV enterprise deals, where multi-year agreements stall in legal review. Build leading indicators and early-warning triggers so leadership sees a coverage or velocity problem 60 days out rather than in the last week of the quarter. Pressure-test the forecast. Deliver an independent bottoms-up call and be willing to disagree with the field's number in front of senior leaders. Diagnose where to reallocate capacity, headcount, and pipeline generation effort across verticals, and bring the recommendation, not just the chart. Produce the analysis behind strategic bets: segmentation changes, territory restructuring, pricing and packaging shifts, new vertical entry. Instrument the funnel and the systems that feed it Own top-of-funnel reporting for Sales Development: lead conversion loops, sourced vs. influenced pipeline, meeting-to-opportunity rates, and adherence to the Sales Development Playbook. Champion CRM data integrity. Set and enforce completeness standards for qualification fields, next steps, close dates, and competitive tags. No insight survives a dirty pipeline. Work hands-on in the GTM stack: Salesforce, Clari, Outreach, ZoomInfo, LinkedIn Sales Navigator, and Clay. Partner with GTM Engineering to automate reporting and enrichment, and use AI aggressively to compress your own analysis cycle, e.g., signal-based enrichment, automated variance commentary, first-draft narratives for business reviews. Support planning and compensation Support the Director of Enterprise GTM Architecture through annual and quarterly planning: capacity modeling, territory design, headcount planning, and quota setting. Partner with Finance and Legal on the design and modeling of Enterprise and Sales Development commission plans, and own the reporting that tracks whether those plans are driving the intended behavior. Who you are 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 differentia
| Role | Revenue Operations Manager |
|---|---|
| Company | Scale AI |
| Location | San Francisco, CA |
| Type | full-time |
| Compensation | Not disclosed |
| Posted | 2026-10-02 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Revenue Operations Manager at Scaleai: frequently asked questions
- What is the salary for this role?
- Scaleai has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Revenue Operations Manager position remote, hybrid or onsite?
- The listing gives San Francisco, CA as the location and does not state a work mode.
- What is the application deadline?
- Scaleai has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Revenue Operations Manager role?
- Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.
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