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Revenue Operations Specialist (SaaS)

micro1Legit · not rated yetPosted 2 days ago

Pay: $50–100/hr

Who can apply
Countries not stated in the listing
Hours
Hours vary · Freelance
Where
Remote, work from home
Job type
Expert (SME) review
Openings
40 openings

At a glance: A freelance, remote expert (SME) review job with micro1. It pays $50–100/hr, with hours that vary. The listing doesn't say which countries can apply.

  • Countries not stated

    The posting doesn't say which countries can apply, so check before you apply. What micro1 says in general: Recruits worldwide apart from residents of 21 countries and regions, among them China, Russia, Ukraine, Iran, Venezuela and Ethiopia; some listings accept applicants from the US, UK or Canada only

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What happens after you click Apply

  1. You leave AI Trainer HQ and go to micro1’s own site.
  2. Pick a role, apply and answer the screening questions attached to it
  3. Sit the AI interview with Zara, spoken and recorded, about 20–40 minutes
  4. Complete a technical assessment if the role has one, then a hiring-manager review
  5. Take the offer, sign your Deel contract and clear the KYC identity check

How this pay compares

This job pays more than 56% of the 211 other generalist (no degree needed) jobs on the board that state pay; 43% pay more.

This job
$75/hrMiddle of $50–100/hr
Median on micro1
$65/hrFrom 287 other paid jobs
Median in generalist (no degree needed)
$65/hrFrom 211 other paid jobs
How we compare pay

Requirements

Qualifications
  • Operations
  • Conflicting Policy Arbitration
  • CRM Ownership and Data Model
  • Compliance-Constrained Operations Design
  • Revenue Data Integrity and Reporting
Languages
  • English
Equipment
  • Computer with a reliable internet connection

About this job

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

micro1 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

Listing history

First seen on our board
(9 days ago)
Posted by micro1
(2 days ago)
Last checked
Source
micro1

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