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

You Bring

• 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

Ideally, You Bring

• 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