Affirm
Revenue Operations Analyst II
Remote US · Mid
Sponsorship not specified$100k-$150kDetected 17 days ago
RESTData AnalysisHubSpotSalesforceSalesAccount ManagementBusiness DevelopmentExcel
Stay score
odds of building a lasting career here
57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card intent detected
Affirm, Inc. obtained a prevailing wage determination for Data Scientists in San Francisco, CALIFORNIA on 2026-06-24. No matching green-card filing appears in our data yet. The determination expires in 16 days (2026-09-21), and a green-card filing must follow before then or the employer starts over.
Files H-1B transfers
12 transfer filings in the last year, covering 12 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- 2+ years of revenue operations, sales operations, or marketing operations experience
- Prior experience in data analysis, reporting, and funnel performance measurement
Responsibilities
- Design and optimize top of funnel merchant lifecycle processes - from Marketing touch through Contact creation, Account readiness, and Discovery handoff - with an emphasis on automation, data quality, and clear documentation
- Own and define lead routing logic, automation triggers, and lifecycle dependencies that govern how leads and accounts move through the top of funnel
- partner with Business Systems for implementation
- Own cross-functional initiatives end to end - managing stakeholders across Sales, Marketing, Partnerships, Legal, Product, Revenue Ops, Analytics, and others
- Support attribution tracking and funnel conversion analysis for Marketing, BDA, and early funnel performance to surface actionable insights
- Own workflow automations (e.g., Slack notifications, cross-tool workflows, process triggers) that improve speed-to-lead and reduce manual work
- Collaborate with the Business Systems team to improve Salesforce and adjacent GTM tooling for lead and account management efficiency
- Partner with Revenue Enablement to train and support revenue teams on top of funnel processes and tooling changes
Requirements
- BA/BS or equivalent 4-year degree required
- Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office.
Nice to have
- Proficiency in Salesforce (experience as an administrator is a plus)
- familiarity with marketing automation platforms (e.g., Pardot, HubSpot)
- Experience with lead lifecycle management, lead routing tools (e.g., RingLead, LeanData), data enrichment tools (e.g., Clay, Zoominfo), or lead scoring and attribution frameworks is preferred
Skills
- Mastery of Excel / Google Sheets and a solid understanding of business intelligence tools
Compensation
- Employees new to Affirm typically come in at the start of the pay range.
- USA base pay range (CA, WA, NY, NJ, CT) per year: $100,000 - $150,000
- USA base pay range (all other U.S. states) per year: $88,000 - $138,000
Company info
- We're looking for a curious, driven analyst to join our Revenue Operations team.
- Revenue Operations serves as the backbone of the Revenue organization at Affirm.
- We follow a data-driven approach that combines elements of strategy, systems, process, and analytics to align go-to-market motions across the organization.
- Affirm is proud to be a remote-first company!
This listing is sourced directly from Affirm's careers page and normalized into a canonical job model.