Revenue Operations & CRM Systems Specialist (SaaS)

You will evaluate connected SaaS revenue systems and turn complex business decisions into clear prompts, recommendations, and documentation. Your work will help define how ambiguous revenue situations should be handled in AI training data.

You will work across CRM, billing, and ticketing systems. The role requires careful judgment when policies conflict or changes in one system affect others.

• Analyze CRM, billing, and ticketing data for policy conflicts, outdated automations, duplicate entities, permission mismatches, and unclear processes.
• Draft prompts and recommendations for complex or ambiguous revenue scenarios.
• Evaluate desired data states, correct discrepancies, and maintain consistency across connected systems.
• Document why changes were made, including decisions to leave specific areas unchanged.
• Assess conflicting rules and cascading changes across multiple systems.
• Create detailed reference documents for technical and non-technical stakeholders.

What it pays and takes

This is a remote, part-time contractor role. The listing is marked entry level, and the work requires substantial hands-on experience with revenue operations systems.

• Pay: $45 to $90 per hour.
• Work type: Remote, part-time contract work.
• Location: Open across listed countries in North America, South America, Europe, Asia, Africa, and the Middle East.
• Language: Professional English fluency, with the ability to explain nuanced reasoning and operational trade-offs in writing and conversation.
• Experience: 5 to 10 years in revenue operations, sales operations, customer success operations, or SaaS implementation and onboarding with direct system ownership.
• Systems: Ability to personally configure CRM fields, workflows, validation rules, and permissions.
• Tools: Experience with at least two adjacent SaaS revenue tools, such as billing or subscription management, CPQ, ticketing, project tracking, or automation platforms.
• Judgment: Ability to assess interconnected system changes and document policy exceptions and ambiguous cases involving renewals and entitlement changes.
• Helpful background: Experience in complex SaaS environments such as fintech, healthtech, or insurtech.

How it works

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

About AI training work

AI training is the human work behind AI systems, including reviewing information, rating model outputs, and preparing clear examples for models to learn from. People with specialized experience are valued because they can apply sound judgment to difficult cases and explain decisions clearly.

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