远程工作雷达

产品经理 - 数据平台

Product Manager - Data Platform

开发工程职能支持未标注地域
公司Spotify
薪资未公开
工作地点Toronto
地域资格未标注地域
时区要求无特别要求
用工类型未标注
发布时间未知
数据来源Lever
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Spotify 的使命是通过为一百万位创意艺术家提供靠艺术谋生的机会,以及为数十亿粉丝提供享受并热爱这些创作者的机会,从而释放人类创造力的潜力。

数据是一种手段,Spotify 通过应用数据来提取价值。Data Platform Studio 通过以直观高效的方式应用数据,帮助 Spotify 赢得市场。

Data Platform 负责数据的收集、处理、存储、治理以及向数千名工程师、数据科学家、分析师和机器学习从业者提供数据,这些人构建了 Spotify 的产品。随着 AI 代理越来越多地生成代码、编写数据流水线并推动个性化用户体验,Data Platform 处于 Spotify 最重要的基础设施领域之一的中心位置。

我们正在寻找一位热情的产品经理加入负责 Spotify 数据目录、元数据和数据血缘能力的团队。在这一职位中,你将负责 Spotify 数据生态系统关键部分的战略和路线图,帮助用户大规模发现、理解、信任并安全地使用数据。你将与 Spotify 内部的工程师、设计师、数据科学家和产品团队紧密合作,使数据的使用更快、更安全、更直观。

你将负责的工作

  • 制定并负责 Spotify 数据目录、元数据和数据血缘领域的产品战略和路线图。
  • 分析并深入理解 Spotify 数据社区的需求,包括数据工程师、数据科学家、分析师、机器学习工程师,以及日益增多的 AI 代理。
  • 识别并优先解决影响最大的问题,平衡用户需求、业务目标、平台要求和监管考量。
  • 通过构建、购买或集成第三方产品和功能来评估并交付解决方案。
  • 定义衡量采用率、价值创造和业务影响的成功指标和 KPI。
  • 与内部产品、工程、分析和数据团队建立牢固的关系,了解工作流程,收集反馈,并塑造未来的平台投资。
  • 与工程、设计和数据科学合作伙伴密切协作,交付高质量的平台体验。
  • 影响 Data Platform Studio 和 Spotify 更广泛组织中的相关方,围绕产品方向和优先级达成一致。
  • 帮助塑造 Spotify 在元数据、治理和发现方面的策略
查看英文原文

Spotify’s mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators.

Data is a means to an end, and Spotify extracts value from data through application. The Data Platform Studio helps Spotify win by enabling the application of data in an intuitive and efficient way.

Data Platform is responsible for how data is collected, processed, stored, governed, and made available to the thousands of engineers, data scientists, analysts, and machine learning practitioners who build Spotify’s products. As AI agents increasingly generate code, write data pipelines, and power personalized user experiences, Data Platform sits at the center of one of the most important infrastructure domains at Spotify.

We're looking for a passionate Product Manager to join the team responsible for Spotify’s data catalogue, metadata, and data lineage capabilities. In this role, you'll own the strategy and roadmap for a critical part of Spotify's data ecosystem, helping users discover, understand, trust, and safely use data at scale. You'll work closely with engineers, designers, data scientists, and product teams across Spotify to make working with data faster, safer, and more intuitive.

What You'll Do

  • Develop and own the product strategy and roadmap for Spotify's data catalogue, metadata, and data lineage domain.
  • Diagnose and deeply understand the needs of Spotify's data community, including data engineers, data scientists, analysts, ML engineers, and increasingly AI agents.
  • Identify and prioritize the highest-impact problems to solve, balancing user needs, business priorities, platform requirements, and regulatory considerations.
  • Evaluate and deliver solutions through building, buying, or integrating third-party products and capabilities.
  • Define success metrics and KPIs that measure adoption, value creation, and business impact.
  • Build strong relationships with internal product, engineering, analytics, and data teams to understand workflows, gather feedback, and shape future platform investments.
  • Collaborate closely with engineering, design, and data science partners to deliver high-quality platform experiences.
  • Influence stakeholders across the Data Platform Studio and broader Spotify organization to align around product direction and priorities.
  • Help shape how Spotify approaches metadata, governance, discoverability, lineage, and trust in an increasingly AI-driven world.
  • Stay informed on industry trends across data platforms, developer tools, AI/ML infrastructure, analytics, and data governance.

Who You Are

  • You have 2+ years of Product Management experience, ideally working on platform products, developer tools, data infrastructure, analytics platforms, or data governance systems.
  • You have a technical foundation through a degree in Computer Science, Engineering, a related field, and/or prior experience in engineering or technical roles.
  • You are comfortable working with engineers and can engage in technical discussions while representing customer and business needs.
  • You are an excellent communicator and collaborator who can build alignment across teams with different priorities and levels of technical expertise.
  • You have strong systems-thinking skills and can connect workflows, platforms, users, and business outcomes.
  • You have empathy for people who work with data and understand the challenges they face every day.
  • You enjoy working through ambiguity, breaking down complex problems, and creating clarity for teams.
  • You are curious about how AI is transforming the data landscape and are excited to help shape that future.
  • You lead with humility, build trust through collaboration, and help teams move forward with focus and momentum.

Where You'll Be

  • This role is based in Toronto
  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
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