出海雷达

Senior Product Manager

职能支持限定地区(需当地身份)
公司G2 Risk Solutions
薪资未公开
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
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描述位置:远程 (美国,东部时区)G2风险解决方案 (G2RS) 商人风险解决办法高级产品经理 (MRS) 将拥有全球金融机构和支付提供商使用的既定商人安装和监控产品组合。此职位将最初带来基础平台能力的现代化并扩大到拥有新一代平台上的产品战略和创新的解决方案的增长。G2RS 为电子商务和商人组合保持不受非法产品和服务的影响。我们与世界领先的金融科技参与者和全球市场合作,通过突出其平台上合法活动并确保快速有效地消除坏行为者的新商业机会。我们构建基于人工智能的解决方案,将复杂数据转化为可操作见解,使客户能够管理风险,发现新兴趋势,并通过单一统一体验迅速响应。我们的产品团队由激情人群组成,共同工作,互相鼓舞,赋予周围所有人都成功和成长的能力。作为一个关键的产品领导者,你将与世界各地的工程,数据科学,客户成功,销售和运营团队密切合作,将业务需求转化为可行的功能和经验。你将与客户和内部利益相关者一起工作,收集见解,验证建议解决方案,并保持 MRS 产品在风险检测,监控和管理方面的市场领先标准。这一角色需要一个积极的战略思想家,他很舒服地拥有复杂的互联产品端到端并与其他产品经理共享所有权。你将深入研究数据模型和集成,应用强大的分析技能来评估业绩和构建商务案例,并保持跨功能团队之间的协调。职位可能需要每年旅行2-3次。关键责任 · 拥有对商家安装和监控产品组合的路线图和优先级,平衡产品稳定性,客户承诺和长期平台方向。·推动核心平台能力现代化,建立成本,质量和可扩展性的商业案例。· 领导客户转型战略,因为产品发展到新的能力,与客户成功,销售,营销和工程合作。· 自己的产品

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Description
Location: Remote (US, Eastern Time Zone)
The Senior Product Manager for G2 Risk Solutions (G2RS) Merchant Risk Solutions (MRS) will own a portfolio of established merchant onboarding and monitoring products used by financial institutions and payment providers worldwide. This role will initially lead the modernization of key underlying platform capabilities and expand to owning product strategy and growth for innovative solutions on our next-generation platform.
G2RS is here to keep e-commerce and merchant portfolios safe from illicit products and services. We work with the world’s leading fintech players and global marketplaces to unlock new business opportunities by highlighting the legitimate activity on their platforms and ensuring a swift and effective removal of bad actors. We build AI-powered solutions that transform complex data into actionable insights, enabling customers to manage risk, spot emerging trends, and respond quickly through a single unified experience.
Our product team consists of passionate people working together, inspiring each other, and empowering everyone around them to succeed and grow. As a key product leader, you will collaborate closely with Engineering, Data Science, Customer Success, Sales, and Operations teams around the world to translate business requirements into actionable features and experiences. You will work with clients and internal stakeholders to collect insights, validate proposed solutions, and maintain the market-leading standards of MRS products in risk detection, monitoring, and management.
This role requires a proactive, strategic thinker who is comfortable owning complex, interconnected products end-to-end and navigating shared ownership with other product managers. You will dive deep into data models and integrations, apply strong analytical skills to evaluate performance and build business cases, and keep initiatives aligned across cross-functional teams.
Position may require travel 2-3 times per year.
Key Responsibilities

  • Own the roadmap and prioritization for a portfolio of merchant onboarding and monitoring products, balancing product stability, client commitments, and long-term platform direction.
  • Drive modernization of core platform capabilities, building business cases that balance cost, quality, and scalability.
  • Lead customer transition strategy as products evolve onto new capabilities, in collaboration with Customer Success, Sales, Marketing, and Engineering.
  • Own product strategy and growth for the portfolio, using market, competitive, and customer research to identify opportunities and shape the roadmap.
  • Apply AI-first thinking both in product development and daily workflows, incorporating responsible AI capabilities into the roadmap while using AI tools to accelerate research, requirements development, customer insights synthesis, and execution.
  • Engage directly with key customers to understand use cases, gather feedback, validate hypotheses, and ensure product-market fit.
  • Define and prioritize features, writing clear requirements, user stories, and acceptance criteria for Engineering and Data Science partners, and manage backlogs and delivery progress in Jira.
  • Collaborate cross-functionally to guide development, ensure delivery milestones are met, and remove roadblocks throughout the product lifecycle.
  • Monitor product performance and customer outcomes using analytical methods, and champion a data-driven approach to prioritization and product decisions.
  • Partner with Sales, Customer Success, and Operations to support go-to-market efforts and ensure product launch readiness.

Requirements
Qualifications

  • 5+ years of product management experience, ideally in data, AI/ML, and/or fintech.
  • Experience leading platform modernization or customer transition programs.
  • Demonstrated success managing complex, data-driven or analytical products, from concept through launch and iteration.
  • Strong technical fluency, including working SQL skills, experience with customer-facing APIs, and the ability to dive into a data model and understand it in detail.
  • Experience building business cases, including vendor evaluation, unit economics, and build-versus-buy decisions.
  • Fintech, payments, KYB/KYC, and/or e-commerce risk and compliance experience is preferred.
  • Demonstrated ability to leverage AI tools in day-to-day product work (e.g., Copilot, generative AI assistants) and experience collaborating with Data Science to translate business problems into practical, ethical AI-enabled product solutions.
  • Proven ability to translate customer needs and business objectives into clear product requirements and actionable development plans.
  • Excellent collaboration skills and experience working with Engineering, Data Science, Operations, and GTM teams, including teams distributed across time zones.
  • Comfort with evolving scope and shared ownership across multiple product teams.
  • Strong analytical skills for modeling, KPI analysis, and trend evaluation.
  • Exceptional communication skills, with the ability to present complex concepts to both technical and non-technical audiences.
  • Comfortable engaging with customers and external stakeholders to gather insights, validate assumptions, and build strong relationships.
  • Bachelor’s degree in business, analytics, computer science, or a related field (MBA or advanced degree a plus).

Originally posted on Himalayas

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