Senior Pricing Data & AI Manager

We’re looking for a Senior Pricing Data & AI Manager to join our Pricing team within the Product organization. In this role, you will support the development of scalable, data-driven pricing and monetization solutions by building and applying advanced analytics and AI-enabled models.

You will operate at the intersection of pricing, data, and business, owning the hands-on development of models and analytical frameworks that directly inform pricing decisions. You’ll collaborate closely with Product, Finance, and Sales to drive outcomes that improve revenue performance, customer alignment, and long-term growth.

You Will

• Lead the design and hands-on development of AI-enabled pricing models that drive measurable impact on revenue, retention, and customer acquisition
• Build and own pricing simulations and scenario analyses to evaluate trade-offs across growth, margin, and customer value
• Analyze customer usage patterns and behavioral data to identify monetization opportunities, segmentation strategies, and pricing risks
• Partner with Product, Finance, and Sales to ensure pricing decisions are aligned with business goals and grounded in data-driven insights
• Develop and maintain scalable data pipelines, models, and tools that support reliable and repeatable pricing decisions
• Establish and evolve pricing experimentation frameworks to test and validate model-driven recommendations
• Translate complex analytical outputs into clear, actionable insights for both technical and non-technical stakeholders
• Contribute to a culture of inclusivity, operational excellence, and continuous learning
  
  

• Experience applying advanced analytics, statistical modeling, or AI/ML techniques to solve business problems, particularly in pricing, monetization, or revenue optimization
• Understanding of commercial and SaaS monetization models, including usage-based modeling
• Proven ability to build models hands-on and translate outputs into business decisions and measurable impact
• Experience working cross-functionally with Product, Finance, and go-to-market teams
• Strong communication and collaboration skills across diverse teams
• Ability to prioritize, problem-solve, and navigate ambiguity in a dynamic environment
• Comfortable learning and applying new technologies, tools, and methodologies
• 5+ years of experience in data analytics, data science, or a related field, or equivalent experience gained through a variety of learning pathways
• Bachelor’s degree in a quantitative, technical, or related field or equivalent practical experience
  
  

• Experience implementing AI/ML models in production environments to support business decision-making
• Proficiency in tools and languages such as Python, SQL, or similar for data analysis and modeling
• Familiarity with experimentation methodologies (e.g., A/B testing) and causal analysis
• Experience in B2B SaaS or usage-based commercial environments
• Demonstrated success in influencing monetization through data-driven insights
• Experience working in a distributed, multicultural environment