AI Commerce Pricing Strategist

Galls•Lexington, KY

About The Position

As AI transforms digital commerce, pricing is evolving from a manual, rules-based function into an intelligent, autonomous capability. The AI Commerce Pricing Strategist will lead the development, governance, and optimization of AI-powered pricing strategies that maximize revenue, profitability, and competitive positioning across our ecommerce portfolio. This role is responsible for overseeing algorithmic pricing models, defining business guardrails for autonomous pricing agents, and ensuring our pricing strategy is optimized for both traditional ecommerce channels and emerging AI-powered shopping experiences (e.g., ChatGPT, Gemini, Perplexity, and autonomous shopping agents). Working at the intersection of Ecommerce, Data Science, Merchandising, Finance, and Marketing, this individual will transform pricing into a strategic growth lever that improves customer acquisition, conversion, margin, and long-term profitability.

Requirements

5+ years of experience in Ecommerce Pricing, Revenue Management, Digital Merchandising, Pricing Strategy, or Advanced Analytics.
Experience working with AI-powered pricing optimization platforms or dynamic pricing technologies.
Experience building pricing strategies that balance growth, profitability, and customer experience.
Strong understanding of AI, Machine Learning, predictive analytics, and pricing optimization concepts.
Experience with pricing analytics, SQL, Python, or business intelligence platforms such as Tableau, Looker, or Power BI.
Familiarity with product feeds, structured data, ecommerce platforms, and AI search optimization.

Nice To Haves

Experience with LLM optimization, Answer Engine Optimization (AEO), or AI commerce ecosystems.
Knowledge of Model Context Protocol (MCP), product knowledge graphs, and structured commerce data.
Experience integrating competitive intelligence and pricing automation platforms.

Responsibilities

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.
Optimize pricing across product lifecycle stages, including launches, replenishment, promotions, and clearance.
Ensure pricing, product catalogs, and structured data are optimized for AI-powered search engines and autonomous shopping agents.
Partner with SEO, Product Content, and Digital teams to improve AI discoverability and product recommendation accuracy.
Monitor AI-generated pricing and product recommendations to strengthen competitive positioning.
Leverage AI-powered competitive intelligence platforms to monitor market pricing, promotional activity, assortment changes, and pricing elasticity.
Identify pricing opportunities, competitive threats, and emerging market trends.
Develop predictive pricing recommendations based on competitive simulations and demand forecasting.
Partner with Merchandising and Inventory Planning to optimize promotional calendars and markdown strategies.
Utilize machine learning models to determine optimal timing, depth, and duration of promotions while protecting margin and brand equity.
Measure promotional effectiveness and continuously refine pricing strategies based on performance.
Develop dashboards and executive reporting for key pricing and ecommerce KPIs including: Revenue, Gross Margin, Contribution Margin, Customer Acquisition Cost (CAC), Average Order Value (AOV), Conversion Rate (CVR), Price Elasticity, Promotional ROI, Competitive Price Index.
Translate complex pricing analytics into actionable business recommendations for senior leadership.
Partner closely with Ecommerce, Merchandising, Finance, Marketing, Supply Chain, Product Management, and Data Science teams.
Translate business objectives into machine-readable pricing rules and AI model requirements.
Champion AI adoption across pricing and revenue management processes.