Salesforce / HubSpot Administrator - Revenue Systems (SaaS)

Role Title: Salesforce / HubSpot Administrator - Revenue Systems (SaaS) Role Type: Contractor Location: Remote micro1 is engaging Salesforce / HubSpot Administrator - Revenue Systems (SaaS) experts to contribute to a dynamic customer project focused on operational excellence in CRM and revenue systems.

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

You'll work inside a SaaS company's revenue stack where the operational logic has drifted out of alignment: rules that contradict each other, automations still firing against policy that was retired two years ago, the same customer sitting under two different legal names, permissions that don't match what the documentation says, and grey areas.

Scope of Work Audit CRM and integrated revenue systems for contradictions, obsolete policies, duplicate records, and operational inconsistencies. Analyze and resolve policy conflicts, deciding which business rules should take precedence and documenting clear, actionable reasoning.

Draft precise operational prompts outlining best practices for handling complex, real-world SaaS data scenarios. Assess and reconcile underlying data to clarify the intended state across platforms and ensure consistency.

Document recommended changes as well as areas deliberately left unchanged, supported by sound operational judgment. Evaluate and articulate the impact of proposed changes on connected tools such as billing, CPQ, ticketing, or integration platforms.

Contribute insights on system design, optimization, and sustainable CRM governance in a SaaS context.

Preferred Qualifications

4–6 years of hands-on CRM administration or implementation with Salesforce, HubSpot, Microsoft Dynamics 365, or comparable platforms. Proven track record of real-world CRM build-outs, including implementation