Revenue Operations Specialist - Remote

YO AI Labs

Remote (Canada, United States) Remote Contract $104K – $208K/yr today
Workplace
Remote
Location
Canada, United States
Who can apply
Remote for people based in the United States or Canada

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About the role

Job Title: Revenue Operations Specialist (SaaS)

Role Type: Contractor Location: Remote — United States or Canada Only

Job Summary

We are seeking experienced Revenue Operations Specialists to contribute to an AI training project focused on SaaS revenue operations. The role involves evaluating realistic operational scenarios, analyzing CRM configurations, resolving policy conflicts, and explaining decisions using practical industry expertise. Prior AI experience is not required.

Key Responsibilities

1. Evaluate SaaS revenue operations scenarios involving CRM data models, process design, and configuration decisions. 2. Resolve conflicts between operational policies by identifying priorities and explaining trade-offs. 3. Design workflows that meet compliance requirements, including approvals, access controls, and audit standards. 4. Diagnose revenue data issues, including duplicate records, inconsistent lifecycle states, and conflicting metric definitions. 5. Identify root causes and recommend solutions to prevent recurring operational issues. 6. Flag ambiguous or incomplete scenarios and provide clear, structured reasoning for decisions.

Required Qualifications

1. At least 4 years of hands-on experience in SaaS revenue operations, sales operations, customer success operations, or implementation operations. 2. Direct CRM ownership and configuration experience with Salesforce, HubSpot, or similar platforms. 3. Experience with at least two connected tools, such as billing systems, CPQ, ticketing platforms, or project-tracking tools. 4. Proven ability to resolve policy conflicts and explain operational trade-offs. 5. Experience in fintech, healthtech, insurtech, or complex multi-product environments is preferred. 6. Strong communication skills, with the ability to explain technical and operational decisions clearly.

Selection Process

1. Apply and complete the screening questions. 2. Complete an AI interview lasting up to 30 minutes. 3. Undergo a profile review. 4. Complete onboarding with the Talent Operations team.

Project Details

* Project Status: Active; onboarding is underway. * Work Mode: Fully remote. * Eligibility: Candidates based in the United States or Canada only.

Originally posted on Himalayas

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