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
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Bachelor's degree in a quantitative, technical, or related field
Advanced analytics, Statistical modeling, AI/ML techniques, Communication skills, Collaboration skills, Problem-solving
Lead the design and development of AI-enabled pricing models., Build pricing simulations and scenario analyses., Analyze customer usage patterns for monetization opportunities.

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