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Hiring now · posted today General Contract · Remote

Revenue Operations Specialist (SaaS)

$50–$100/hr

Published pay. The final rate depends on your test, experience and country.

Remote · United States, Canada 40 openings Language: English Posted 24 Oct 2026

About this role

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Role Title: Revenue Operations Specialist (SaaS)

Role Type: Contractor

Location: Remote - U.S. or Canada only

Opportunity Snapshot

Pay: $50–100/hour

Project kickoff: Already active — we’re onboarding candidates now

Location: Remote — U.S. or Canada only

You’ll need: Hands-on configuration experience in a CRM (Salesforce, HubSpot, or similar) plus at least two connected tools — billing, CPQ, ticketing, or project tracking

Your tasks: Work through realistic SaaS revenue operations scenarios and explain the reasoning behind your decisions

our partner is engaging Revenue Operations Specialists to contribute to a customer’s AI training initiative. Your domain knowledge is what matters here — no prior AI experience required.

We’re looking for people who have personally owned the systems behind revenue and customer motions, whether under revenue ops, sales ops, CS ops, or implementation. The work rewards operational judgment: knowing which rule wins when two policies conflict, and what to leave alone.

Scope of Work

  • Work through realistic revenue operations scenarios — CRM data models, process design, configuration tradeoffs — and explain the reasoning behind each choice.
  • Resolve conflicts between operational policies: which rule takes precedence, why, and what you would deliberately leave unchanged.
  • Design workflows that hold up under compliance constraints like approvals, access controls, and audit requirements.
  • Diagnose revenue data problems — duplicates, broken lifecycle states, inconsistent metric definitions — and explain how you’d find the root cause and prevent recurrence.
  • Flag ambiguous or underspecified scenarios instead of resolving them silently.

Preferred Qualifications

  • 4+ years hands-on in SaaS revenue, sales, CS, or implementation operations — not adjacent or management-only exposure.
  • Direct CRM ownership (Salesforce, HubSpot, or similar) with configuration experience, plus two or more connected tools: billing, CPQ, ticketing, or project tracking.
  • Track record of resolving policy conflicts and explaining tradeoffs, ideally in fintech, healthtech, insurtech, or complex multi-product environments.
  • Able to explain your reasoning clearly to technical and non-technical audiences.

How the selection process works

  • Apply and complete the screening questions
  • Complete the AI interview (30 minutes at most) — this is how we showcase your expertise to the client
  • Profile review
  • Onboarding — our Talent Ops team will get you set up

This is a 100% remote contract role. Applicants must be located in: United States, Canada.

OperationsConflicting Policy ArbitrationCRM Ownership and Data ModelCompliance-Constrained Operations DesignRevenue Data Integrity and Reporting

How applying works

  1. Click Apply now and enter your email.
  2. You go straight to the application. We email you a copy of this role and your link.
  3. Most platforms ask for a CV and a short skills test or AI interview in your field.
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What to know before you apply

Pay
At the published rate, 10 hours a week would be about $500–$1,000 and 20 hours about $1,000–$2,000 before tax. Hours depend on the project, so treat this as a ceiling, not a promise.
Openings
40 openings means this is a high-volume project. You are not competing for one seat: if you pass the test, there is room for you.
Location
Only applicants located in United States, Canada can be paid for this role. Platforms usually verify where you are, so apply only if you are based there.
Credentials
The listing asks for 4+ years of experience. Put it in the first line of your profile: reviewers screen for it before anything else.
Timing
This listing is new today. Projects can close once they have enough people, so it is worth applying while it is open.
Test tips for compliance teams
  • Name the regulation and article you rely on.
  • Check that AI answers distinguish legal obligations from good practice.
  • Look for missing controls and evidence, not just wrong statements.
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