Remote Revenue & CS Operations Expert

Yo Ai Labs; La Pampa; Remote; ARS 91,155,000 - 151,925,000; Full time

Job summary

Yo Ai Labs is seeking an experienced Sales, Revenue, or Customer Success Operations professional to optimize CRM-driven workflows in a remote capacity.

You will configure and manage CRM platforms (Salesforce, HubSpot), handle revenue tools, and build data-rich reports across SaaS environments while driving adoption and improvements.

Ideal candidates bring 4+ years in operations, strong data judgment, and excellent communication to align policy with execution.

Qualifications

• 4+ years of experience in Sales, Revenue, or Customer Success Operations.
• Hands-on CRM configuration and management experience.
• Experience with at least two revenue-related tools outside the CRM.
• Strong operational judgment and problem-solving skills.
• Excellent written and verbal communication.
• Strong understanding of data accuracy, reporting, and workflow management.

Responsibilities

• Configure and manage CRM platforms such as Salesforce, HubSpot, or similar tools.
• Manage revenue tools including quoting, billing, ticketing, and project management systems.
• Build and optimize sales and customer success workflows.
• Maintain accurate data and reporting across connected systems.
• Identify and resolve operational or policy-related challenges.
• Create clear documentation, reports, and process guidelines.
• Support system adoption and operational improvements.

Skills

CRM configuration

Data accuracy

Reporting

Workflow management

Communication skills

Problem-solving

Tools

Salesforce

HubSpot

Quoting software

Billing software

Project management tools

Job description

Yo Ai Labs is seeking an experienced Sales, Revenue, or Customer Success Operations professional to optimize CRM-driven workflows in a remote capacity.

You will configure and manage CRM platforms (Salesforce, HubSpot), handle revenue tools, and build data-rich reports across SaaS environments while driving adoption and improvements.

Ideal candidates bring 4+ years in operations, strong data judgment, and excellent communication to align policy with execution.