Pricing Associate Manager

In this role you own B2B pricing strategy and growth decisions, collaborating with Commercial, Product, Data Science, Marketing, and Operations to turn analysis into impact. You will steer pricing optimization, design and manage experimentation roadmaps, and model scenarios to guide senior stakeholders. Your work will shape partner channel strategies and drive cross-functional alignment. This is a fast-paced, data-driven opportunity to influence pricing decisions at scale and create measurable business value.

• Hybrid working
• Up to 20 days abroad per year
• Product discounts up to 1400 per year
• DEI-focused culture
• Generous paid time off and special leave

• Own and evolve B2B pricing strategies and optimization for partner channels
• Build and lead experimentation roadmaps with design, success metrics, and post-test actions
• Evaluate pricing and growth opportunities using elasticity, incrementality, cannibalization, and scenario modeling
• Advise senior stakeholders, surface trade-offs, and drive decisions to closure
• Coordinate cross-functional execution across Commercial, Product, Data Science, Marketing, and Operations
• Translate complex findings into concise executive narratives and decision-ready materials
• Manage strategic partner and vendor interactions, including presentations and follow-ups

• Experience using quantitative analysis to support commercial, pricing, or growth decisions in technology, ecommerce, travel, or related fields
• Strong business judgment and structured problem-solving to turn ambiguous questions into clear recommendations
• Advanced SQL skills and strong technical data analysis capabilities
• Experience with data modeling, scenario modeling, and analytical techniques (elasticity, incrementality, cannibalization)
• Experience designing, analyzing, or interpreting controlled experiments and translating results into decisions
• Background in data science, quantitative analysis, pricing, or related discipline is a strong asset
• Experience with data visualization tools such as Tableau
• Working knowledge of Python or R for modeling and scalable analysis
• Excellent stakeholder management and communication, with influence across teams and geographies
• Ownership mindset and comfort with fast-paced, test-and-learn environment
• Bachelor’s degree in a quantitative, business, data science, or related field, or equivalent practical experience

• stakeholder management
• influence without authority
• clear and concise communication
• SQL
• data modeling
• elasticity analysis