Data Product Manager

About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Responsibilities Own the overall planning and strategic direction of core data platforms (e.g., event tracking center, attribution platform, metadata management, data warehouse portal), managing the full lifecycle from user research and requirements design through resource coordination to project delivery Define and standardize end-to-end data collection solutions, establish Data Quality Control (DQC) monitoring specifications and governance standards to ensure accuracy, completeness, and consistency across the entire data pipeline Explore and implement AI applications within data platform products — driving intelligent platform upgrades (e.g., smart data discovery, automated data governance, AI-assisted analytics) while integrating AI tools into daily workflows and fostering team-wide AI capability building Lead the product-side implementation of regulatory data compliance: interpret regulatory data requirements, translate raw compliance mandates into data definitions and metric specifications actionable by both the big data team and business teams, and drive the end-to-end delivery of data reporting projects from requirement breakdown and solution design through development and delivery Deeply engage with engineering, QA, upstream/downstream teams, and business units; coordinate cross-functional resources to drive infrastructure projects, and establish efficient cross-team collaboration mechanisms and release iteration processes Lead platform promotion and operations: produce high-quality product documentation in both English and Chinese, deliver product training and enablement sessions to business teams, and collect feedback across markets to drive continuous platform iteratio Requirements Bachelor's degree or above in Computer Science, Mathematics, Statistics, or a related field preferred Fluent in English with ability to work in an English-speaking environment Proficient in SQL; familiar with machine learning models Excellent business analysis skills with sharp data insight and structured thinking 3+ years of product management experience Proven AI implementation experience — familiar with mainstream LLM capabilities and application patterns; demonstrated success integrating AI into data products or workflows Understanding of compliance and regulatory frameworks in finance or cryptocurrency (e.g., tax reporting data, transaction reporting); experience interpreting regulatory requirements or delivering data reporting projects is preferred Strong communicator with high business sensitivity; able to quickly grasp business context and bridge the gap between technology and business needs Excellent verbal and written communication skills; self-driven with systematic thinking and strong product design logic Strong customer orientation and user empathy — able to evaluate product…