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AI Product manager AI产品经理(专家)

Bitget · 交易所 · 上架 2026-05-27
面议
数据/AI中级📍 待确认

职位要求 / 描述

About us Bitget is one of the world's leading digital assets ecosystems. With over 120 million registered users, Bitget has one of the most comprehensive suites of blockchain products and services available via bitget.com. Our mission is to support the growth of the digital assets industry and we believe it represents the future of finance. What we do empowers the future of finance by ensuring secure, efficient and smart digital transactions. We are one of the fastest growing companies in the digital asset sector. If you are looking for cutting-edge work, where you will have opportunities to develop your career among peers who are experts in their field, and you believe in the future of digital currency, then look no further than Bitget! What you'll do • Product planning and design: Lead the demand analysis, functional design and product planning of AI+financial products, and formulate product roadmaps. In-depth analysis of the pain points of financial business, combined with AI technology for product innovation and optimization, and promote the implementation of AI models and algorithms in the financial industry (such as intelligent risk control, quantitative investment, personalized financial management, anti-fraud, etc.). • Algorithm and technology promotion: Coordinate and promote the AI ​​algorithm team to develop LLM large language models, machine learning, deep learning and other models that meet the needs of the financial industry. Track the development trend of AI technology, evaluate and introduce cutting-edge algorithms and technologies, and continuously improve product competitiveness. • Product implementation and optimization: Responsible for product life cycle management, coordinate resources from all parties to promote project implementation and launch. Continuously optimize product functions and performance, and improve product market adaptability and user satisfaction. • Cross-departmental communication and coordination: The technical team, data science team, business team and other functional departments work closely together to ensure efficient collaboration in product development and implementation. What you'll need • Bachelor degree or above in computer science, financial engineering, data science, mathematics, statistics and other related majors, master degree or above is preferred. • At least 5 years of experience as an AI and algorithm-related product manager, with a background in the financial industry (such as banking, insurance, securities, asset management, etc.) preferred. • Rich experience in AI and big data algorithm applications, familiar with the principles of machine learning, deep learning, reinforcement learning and other algorithms and their applications in the financial field. • Familiar with common application scenarios in the financial industry, such as credit scoring, risk management, algorithmic trading, portfolio optimization, etc. • Good cross-departmental communication and collaboration capabilities, able to effectively promote project progress. • Strong business sensitivity and market insight, able to design practical AI products based on business needs. • Good English communication skills, able to read and understand English technical literature. Possess an innovative spirit and be willing to challenge new financial technology fields. • Have a deep understanding of the future trends of AI in financial technology innovation, and be able to proactively propose innovative product ideas. 岗位职责: • 产品规划与设计:主导AI+金融领域产品的需求分析、功能设计和产品规划,制定产品路线图。深入分析金融业务的痛点,结合AI技术进行产品创新与优化,推动AI模型和算法在金融行业中的落地应用(如智能风控、量化投资、个性化理财、反欺诈等)。 • 算法与技术推进:协调并推动AI算法团队开发适应金融行业需求的LLM大语言模型、机器学习、深度学习等模型。跟踪AI技术发展趋势,评估并引入前沿算法与技术,不断提升产品竞争力。 • 产品落地与优化:负责产品的生命周期管理,协调各方资源推动项目的实施与上线。持续优化产品功能与性能,提高产品的市场适应性和用户满意度。 • 跨部门沟通与协调:技术团队、数据科学团队、业务团队及其他职能部门紧密合作,确保产品开发与落地的高效协作。 任职要求: • 计算机科学、金融工程、数据科学、数学、统计学等相关专业本科及以上学历,硕士及以上优先。 • 至少5年及以上的AI、算法相关产品经理工作经验,有金融行业(如银行、保险、证券、资产管理等)背景的优先。 • 丰富的AI和大数据算法应用经验,熟悉机器学习、深度学习、强化学习等算

技能关键字

#Machine Learning#AI

职责方向

性能/容量数据分析产品规划

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