Remote SaaS Revenue Ops Architect

OpenTrain AI, Inc.; United States; Remote; USD 69,000 - 138,000; Part time

Job summary

OpenTrain AI, Inc. is offering a remote part-time contractor role in the United States and Canada to evaluate SaaS revenue operations scenarios and explain CRM/ process decisions.

You will review scenarios, identify risks, and clearly justify technical and non-technical choices for audiences. You will focus on policy conflicts, compliance constraints, workflow design, and revenue data quality, while identifying incomplete requirements and communicating uncertainty instead of making unsupported

Qualifications

• At least four years hands-on SaaS revenue experience.
• Direct CRM configuration ownership in Salesforce, HubSpot, or comparable CRM.
• Experience with two connected systems such as billing, CPQ, ticketing, or project-tracking.
• Strong written and verbal communication skills.
• English proficiency required.

Responsibilities

• Analyze CRM data models, process designs, and configuration tradeoffs.
• Decide which operational policy should take priority when rules conflict.
• Identify processes or settings that should remain unchanged.
• Design workflows accounting for approvals, access controls, compliance, and auditability.
• Diagnose duplicate records, broken lifecycle states, and inconsistent metrics.
• Explain root-cause investigation and prevention approaches.
• Identify ambiguous or incomplete scenarios and describe uncertainty clearly.

Skills

SaaS Revenue Ops

CRM configuration

Written & verbal comms

Policy judgment

Tools

Salesforce

HubSpot

CPQ systems

Billing tools

Job description

OpenTrain AI, Inc. is offering a remote part-time contractor role in the United States and Canada to evaluate SaaS revenue operations scenarios and explain CRM/ process decisions.

You will review scenarios, identify risks, and clearly justify technical and non-technical choices for audiences. You will focus on policy conflicts, compliance constraints, workflow design, and revenue data quality, while identifying incomplete requirements and communicating uncertainty instead of making unsupported