Review and refine AI-generated responses and outputs related to pricing strategy, market analysis, and revenue optimization
Evaluate outputs for analytical validity, real-world applicability, and commercial feasibility
Draft realistic pricing scenarios, including use cases in dynamic pricing, subscription models, cost-plus, and value-based pricing across different industries
Assess AI reasoning on areas such as pricing models, competitor analysis, demand elasticity, and margin optimization
Identify gaps or misinterpretations in methodology, pricing logic, or strategic analysis
Create scenario variations from the perspective of different stakeholders, such as product managers, finance leaders, or sales teams

A pricing strategist, revenue management expert, or commercial analyst
Based in the EU or UK
Experienced in developing and managing pricing strategies, models, and analytics (software/SaaS, e-commerce, consulting, or related industries)
Familiar with modern pricing tools, frameworks, and best practices
Comfortable detecting faulty assumptions, unrealistic strategies, or financial errors
Available 8 to 20 hours per week
Able to start in the coming weeks

Pricing Lead – AI Trainer

Key skills