CRM Revenue Systems Admin (Salesforce & HubSpot) Remote

Yo Ai Labs; Santa Fe Capital; Remote; ARS 83,717,000 - 167,433,000; Part time

Job summary

Yo Ai Labs is seeking an experienced Salesforce/HubSpot Administrator for a remote, contractor role focused on Revenue Systems. You will evaluate CRM operations, resolve data issues, and document governance for complex SaaS workflows. Prior SaaS and CRM implementation leadership are essential.

Strong English communication and hands‑on CRM expertise across Salesforce, HubSpot, or Dynamics 365 are required. Remote work enables collaboration across international teams and ongoing optimization of

Qualifications

• 4–6 years hands-on Salesforce/HubSpot or similar CRM experience.
• Experience leading CRM implementations, migrations, or rollouts.
• Strong knowledge of CRM data models, automation, and security settings.
• Experience SaaS environments and cross-system data reconciliation.

Responsibilities

• Audit CRM and integrated revenue systems for inconsistencies and duplicates.
• Analyze policy conflicts and define appropriate business rules.
• Review and reconcile data across CRM and connected platforms.
• Create operational prompts and documentation for SaaS scenarios.
• Document recommended system changes and governance decisions.
• Assess CRM changes' impact on billing, CPQ, ticketing, and integrations.
• Provide insights on system design and sustainable governance.

Skills

Salesforce

HubSpot

CRM platforms

SQL

APIs

Data reconciliation

English communication

Tools

Microsoft Dynamics 365

Job description

Yo Ai Labs is seeking an experienced Salesforce/HubSpot Administrator for a remote, contractor role focused on Revenue Systems. You will evaluate CRM operations, resolve data issues, and document governance for complex SaaS workflows. Prior SaaS and CRM implementation leadership are essential.

Strong English communication and hands‑on CRM expertise across Salesforce, HubSpot, or Dynamics 365 are required. Remote work enables collaboration across international teams and ongoing optimization of