Pricing Lead – AI Trainer

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🕒 March 28

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10x.Team

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🏪 Marketplace

👥 HR Tech

💰 $1.1M Seed Round - 10x Team on 2024-05

Marketplace • HR Tech

10x. Team is a marketplace platform that connects ambitious companies with senior fractional and freelance executives and specialized professionals. The service offers flexible engagement models (consultation, fixed-scope projects, subscriptions, hourly mission posts) and tools like an AI recruiter to streamline hiring, vet talent, and manage contracting, IP and compliance. It focuses on helping startups, scaleups and corporates access C‑level and operational expertise on demand to accelerate growth and solve complex challenges.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Flexible hours • Fully remote • Apply your pricing expertise in AI • Help shape widely used AI products • Clear project scope and structured onboarding • Potential for long-term collaboration, based on performance