Responsibilities

📍Evaluate and analyze the performance of partner integrations to identify revenue optimization opportunities. 📍Develop a monetization strategy that focuses on maximizing revenue from partners while considering factors such as pricing, transaction volume, purchase order size, payment methods, frequency and geographical considerations. 📍Collaborate with cross-functional teams, including Product, FP&A, Data, and BD Partnerships to implement and execute monetization strategies effectively. 📍Conduct market research and competitive analysis to identify trends, opportunities, and potential areas for growth. 📍Define pricing structures and fee models, alongside FP&A, that align with different cryptocurrencies, transaction volumes, card types, and geographical regions to ensure optimal revenue generation. 📍Utilize data-driven insights to forecast, experiment, and demonstrate incrementality of monetization strategies, making data-informed recommendations for continuous improvement. 📍Collaborate with partners and stakeholders to establish mutually beneficial relationships that drive revenue growth.

Requirements

📍Proven experience in growth experience working with marketplace dynamics and monetization strategies. 📍Strong analytical and quantitative skills, with proficiency in pricing elasticity, game theory, and other applied economics principles. 📍Understanding of pricing strategies, revenue optimization, and market trends. 📍Excellent communication and presentation skills to effectively communicate strategies and recommendations to stakeholders. 📍Ability to work in a fast-paced and dynamic environment, managing multiple priorities and meeting deadlines. 📍Experience in the cryptocurrency industry or fintech sector is preferred. 📍Web and App Scraping experience preferred.

Personal Attributes

📍Analytical mindset with a passion for data-driven decision-making. 📍Strong strategic thinking and problem-solving abilities. 📍Self-motivated and proactive, with a strong sense of ownership and accountability. 📍Problem solver, grounded in user problems combined with strong first principles thinking to drive efficient solutions