Remote CRM & Revenue Systems Admin (Salesforce / HubSpot)

YO AI Labs; Singapore; Remote; SGD 90,000 - 130,000; Part time

Job summary

YO AI Labs is seeking an experienced Salesforce/HubSpot Administrator – Revenue Systems (SaaS) to support a customer project focused on operational excellence across CRM and revenue systems in a remote setup.

You’ll audit CRM data, resolve inconsistencies, implement governance, and document system changes, with emphasis on data quality, automation, and cross-system reconciliation in SaaS environments.

Qualifications

• 4–6 years of hands-on experience with Salesforce, HubSpot, Microsoft Dynamics 365, or similar CRM platforms.
• Experience leading CRM implementations, migrations, consolidations, or rollouts.
• Strong knowledge of fields, objects, flows, validation rules, automation, and permissions.
• Experience with at least two revenue or operational systems such as billing, CPQ, ticketing, or integration platforms.
• Working knowledge of SQL, APIs, data models, and cross-system data reconciliation.

Responsibilities

• Audit CRM and integrated revenue systems for inconsistencies, outdated policies, duplicate records, and automation issues.
• Analyze policy conflicts and determine appropriate business rules.
• Review and reconcile data across CRM and connected platforms.
• Create clear operational prompts and documentation for complex SaaS scenarios.
• Document recommended system changes and operational decisions.
• Assess the impact of CRM changes on billing, CPQ, ticketing, and other integrated tools.
• Provide insights on CRM optimization, system design, and sustainable governance.

Skills

Salesforce

HubSpot

CRM platforms

Data reconciliation

SQL

APIs

Job description

YO AI Labs is seeking an experienced Salesforce/HubSpot Administrator – Revenue Systems (SaaS) to support a customer project focused on operational excellence across CRM and revenue systems in a remote setup.

You’ll audit CRM data, resolve inconsistencies, implement governance, and document system changes, with emphasis on data quality, automation, and cross-system reconciliation in SaaS environments.