AI-Powered Pricing Architect for E-Commerce Growth

Galls; Lexington (KY); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401k plan

Flexible benefits

Employee discount

Vacation time

Paid holidays

Tuition reimbursement

Daily Pay

Job summary

GALLS, LLC is seeking an AI Commerce Pricing Strategist to lead and govern AI-driven pricing strategies across ecommerce channels, balancing revenue growth with profitability. The role focuses on autonomous pricing engines, guardrails, and leverage of AI technologies to optimize pricing across product lifecycles.

Ideal candidates will have experience in pricing optimization, data analytics, and collaboration with marketing, merchandising, and data science teams to drive measurable impact on

Qualifications

• Develop and govern AI-driven pricing strategies across ecommerce channels.
• Define pricing guardrails, margin thresholds, competitive rules, and business constraints for autonomous pricing engines.
• Continuously monitor and optimize pricing algorithms to balance revenue growth, profitability, and customer value.
• Evaluate and implement emerging AI pricing technologies and automation platforms.
• Build dynamic pricing strategies using demand signals, inventory position, seasonality, competitive pricing, and customer behavior.
• Develop pricing frameworks that maximize gross margin while remaining competitive in the market.

Responsibilities

• Partner with SEO, Product Content, and Digital teams to improve AI discoverability and product recommendations.
• Monitor AI-generated pricing and product recommendations to strengthen competitive positioning.
• Identify pricing opportunities, competitive threats, and emerging market trends.

Skills

Pricing optimization

AI pricing governance

Cross-functional collaboration

Analytical thinking

Tools

SQL

Python

Tableau

Looker

Power BI

Job description

GALLS, LLC is seeking an AI Commerce Pricing Strategist to lead and govern AI-driven pricing strategies across ecommerce channels, balancing revenue growth with profitability. The role focuses on autonomous pricing engines, guardrails, and leverage of AI technologies to optimize pricing across product lifecycles.

Ideal candidates will have experience in pricing optimization, data analytics, and collaboration with marketing, merchandising, and data science teams to drive measurable impact on