Other duties as assigned. THE SKILL SET Minimum 5 years of experience in Customer Success or a related role managing complex customer accounts at a Enterprise level. Experience with pricing, quoting, rebate, or analytics solutions in a B2B environment: Able to articulate value propositions and integration into business processes. Commercial Business Processes: Able to demonstrate an understanding of commercial … processes such as quote to cash, list pricing, dynamicpricing, etc. Sales/Account Management Process Proficiency: Demonstrated proficiency with sales methodologies such as Challenger Sale, ForceManagement, MEDDPICC, or similar techniques. Project Governance Knowledge: Understanding of the principles of effective Project Governance, especially as it relates to complex software implementation. Business Systems Integration: Able to understand the … relate to Vendavo solutions. Enterprise Account Management: Experience managing large enterprise customer relationships (>$1 Billion in Revenue and global presence). Strong experience with SaaS software solutions. Familiarity with pricing or CPQ solutions is a plus. Demonstrated ability to engage and build relationships with customer executives and key decision-makers. Experience managing accounts that span multiple geographies and business More ❯
you here. Come help us build the future of Web3 and digital ownership. About the Opportunity We are seeking a highly analytical and strategic Growth Data Scientist to drive pricing and monetization for MoonPay's Products As a Growth Data Scientist, you will be responsible for building our dynamicpricing algorithms, designing incentive and reward mechanisms, and … will also be responsible for launching AB tests and quasi-experiments, analyzing data to identify opportunities for margin optimization, and developing an analytical infrastructure to track the performance of pricing optimizations. This role requires a deep understanding of marketplace dynamics, experimentation, causal inference, pricing strategies in B2C/B2B2C/B2B environments, and solid technical acumen What you … will do Build pricing algorithms to manage fee configurations on marketplaces dynamically Develop monetization strategies that strike a balance between volume and margin, considering factors such as competitor prices, purchase order size, payment methods, currency pairs, user types, and geographies. Conduct market research and competitive analysis to identify trends, opportunities, and potential areas for growth Build crawlers and competitive More ❯
confidently carry out complex project planning, development, and maintenance end-to-end with minimal supervision. Analyze large, diverse datasets to extract impactful insights that can guide Exchange product and pricing strategy. Collaborate with cross-functional teams (Product, Engineering, Commercial, Operations, Finance) to design, implement, and test new and existing products, as well as to understand, analyze, explain, and predict … meticulous attention to detail in execution. Bonus points if you have Experience in marketplace dynamics, matching algorithms, or supply/demand optimization. Experience with survey exchange platforms. Knowledge of dynamicpricing models. Experience with Databricks and using it for scalable data processing and machine learning workflows. Experience working with big data technologies (e.g., Spark, PySpark). Experience with More ❯
confidently carry out complex project planning, development, and maintenance end-to-end with minimal supervision. Analyze large, diverse datasets to extract impactful insights that can guide Exchange product and pricing strategy. Collaborate with cross-functional teams (Product, Engineering, Commercial, Operations, Finance) to design, implement, and test new and existing products, as well as to understand, analyze, explain, and predict … meticulous attention to detail in execution. Bonus points if you have Experience in marketplace dynamics, matching algorithms, or supply/demand optimization. Experience with survey exchange platforms. Knowledge of dynamicpricing models. Experience with Databricks and using it for scalable data processing and machine learning workflows. Experience working with big data technologies (e.g., Spark, PySpark). Experience with More ❯
