Jobs / United States / Scale AI INC
Revenue Operations Manager
Scale AI INC · 🇺🇸 San Francisco, CA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 74 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 3 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Scale AI INC paid sponsored hires in similar roles4 certified filings for “Product Manager, Enterprise” (General and Operations Managers) in CA: $175k–$400k, median $188k. Most were filed at wage level II (50%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Sponsor Radar — Scale AI INC
The US Department of Labor certified 74 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 3 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Scale AI INC →
About the role
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 intende