About this role
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.
• 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
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.
• 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
Tech stack
Python
About Cloudinary
Cloudinary is hiring for the senior pricing data & ai manager role. NewJob aggregates active openings directly from Cloudinary's applicant tracking system, so this listing is current.
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