SaaS Revenue Operations Specialist

OpenTrain AI, Inc.; USA; Remote; USD 69.000 - 138.000; Teilzeit

Zusammenfassung

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

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

SaaS Revenue Ops

CRM configuration

Written & verbal comms

Policy judgment

Tools

Salesforce

HubSpot

CPQ systems

Billing tools

Jobbeschreibung

Review realistic SaaS revenue operations scenarios for an AI training project, using CRM configuration expertise, process judgment, and data-quality analysis. This remote contractor role is open in the United States and Canada and pays $50 to $100 per hour.

Remote Hourly $50-$100/hr

$50-$100/hr

Compensation

Contract, part-time

Engagement

Remote

Location

The Work

You will evaluate realistic SaaS revenue operations scenarios and explain the practical choices behind CRM and process decisions. The work involves reviewing written scenarios, identifying risks, and clearly explaining your reasoning for technical and non-technical audiences.

You will focus on policy conflicts, compliance constraints, workflow design, and revenue data quality. You will also identify unclear requirements and communicate uncertainty instead of making unsupported assumptions.

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

What It Pays and Takes

This is a remote contractor role with flexible scheduling and part-time availability.

• Pay: $50 to $100 per hour.
• Location: Open to candidates in the United States or Canada.
• Work arrangement: Remote, flexible scheduling, and part-time contract work.
• Language: English proficiency is required.
• Experience: At least four years of hands-on experience in SaaS revenue, sales, customer success, or implementation operations.
• CRM experience: Direct configuration ownership in Salesforce, HubSpot, or a comparable CRM, including fields, workflows, automation, or validation rules.
• Systems experience: Experience with at least two connected systems, such as billing, CPQ, ticketing, or project-tracking tools.
• Required strengths: Sound judgment when policies conflict, clear tradeoff explanations, and strong written and verbal communication.
• Helpful background: Experience in fintech, healthtech, insurtech, or complex multi-product environments.

About AI Training Work

AI training uses human judgment to prepare and review examples that help artificial intelligence systems improve. People with specialized experience help evaluate realistic work scenarios, explain sound decisions, and identify errors that general reviewers may miss.

Requirements

• Experience: Mid-Senior level