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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.