Senior AI Trainer- Sales Manager/RevOps- Europe, US

Job Title: Senior AI Trainer – Sales Managers / Revenue Operations (RevOps)

Industry: Artificial Intelligence | Enterprise Technology | Sales Operations

Location: United States & Europe (Remote)

Work Structure: Short-Term Contract (9 Weeks)

Engagement Type: Contractor

Compensation: 68/hr USD -Europe , 100/hr USD- US

Client Overview

Our client is a global technology organization at the forefront of developing advanced artificial intelligence solutions for enterprise applications. The company partners with leading organizations to build intelligent systems capable of solving complex business challenges across multiple industries. As part of its continued growth, the organization is seeking experienced commercial and revenue operations leaders to help improve the reasoning, accuracy, and business decision-making capabilities of next-generation AI models.

Role Overview

We are seeking an accomplished Senior AI Trainer – Sales Managers / Revenue Operations (RevOps) to contribute domain expertise toward training advanced AI systems on complex enterprise sales operations and revenue management scenarios.

In this role, you will leverage extensive leadership experience in Sales Management, Revenue Operations, CRM strategy, forecasting, sales compensation, and pipeline optimization to develop, evaluate, and refine sophisticated business tasks that improve AI performance.

This opportunity is ideal for senior commercial leaders who have successfully built scalable sales operations, designed revenue processes, and managed high-performing sales organizations.

Key Responsibilities

Revenue Operations Strategy

• Design complex business scenarios covering revenue operations and sales strategy.
• Create technically accurate datasets focused on forecasting, pipeline management, territory planning, and quota design.
• Develop realistic commercial use cases that mirror enterprise sales environments.

AI Training & Quality Assurance

• Produce expert-level solutions used to improve AI reasoning and decision-making.
• Review and validate technical accuracy of AI-generated commercial outputs.
• Apply established quality standards to ensure consistency across deliverables.
• Identify gaps, ambiguities, and edge cases while recommending improvements.

Sales Operations & Analytics

• Develop advanced forecasting models and pipeline performance scenarios.
• Build sales compensation frameworks and territory allocation strategies.
• Evaluate CRM workflows, opportunity management, and revenue optimization processes.
• Analyze complex sales funnels and identify commercial improvement opportunities.

Collaboration

• Participate in calibration sessions with senior subject matter experts.
• Review peer submissions and provide constructive feedback.
• Maintain high-quality deliverables within project timelines.

Requirements
Education

• Bachelor's Degree or equivalent practical experience.

Professional Experience8–15 years of leadership experience in:

• Sales Management
• Revenue Operations (RevOps)
• Sales Operations
• Commercial Strategy

Technical ExpertiseCandidates should demonstrate strong experience with:

• CRM platforms (Salesforce, HubSpot, Microsoft Dynamics, CPQ)
• Revenue forecasting
• Pipeline analytics
• Territory planning
• Sales quota allocation
• Sales compensation design
• Deal desk processes
• Performance dashboards
• Commercial reporting
• Preferred Experience

Experience designing or managing:

• Revenue forecast models
• Compensation plans
• Territory models
• CRM optimization initiatives
• Enterprise sales processes
• Previous exposure to AI evaluation, content review, quality assurance, or data annotation is advantageous but not mandatory.

Key Competencies

• Revenue Operations Leadership
• Enterprise Sales Strategy
• Forecasting & Pipeline Management
• CRM Systems Expertise
• Commercial Analytics
• Strategic Problem Solving
• Executive Communication
• Attention to Detail
• Quality Assurance
• Stakeholder Management

Work Schedule

• Minimum commitment of 4 hours per day
• Up to 40 hours per week
• Must maintain at least 4 hours overlap with Pacific Standard Time (PST)