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产品负责人,数据产品

机器翻译
查看雇主原标题Product Lead, Data Products

Stripe · New York City, San Francisco

职位信息来自雇主公开的招聘页面。申请前请务必在雇主官网核实详情。

为什么值得关注?

发现指数 42/100,仅依据与该职位一起存储的证据计算。

42/100 发现指数
  • 新的雇主官方职位

分数构成

  • 时效性 (随职位发布时间变化)+18
  • 雇主官方来源+15
  • 稀有职位+1
  • 公司来源健康度+8

该职位未包含:已披露薪资、远程职位、提及签证担保、提及搬迁、未出现在监控的职位板上。

这些理由来自雇主自己的职位描述与我们核实过的来源检查结果。除了已存储的信号之外,我们不做任何推测。

职位描述

机器翻译

关于 Stripe

Stripe 是一个面向企业的金融基础设施平台。数百万家公司——从全球最大的企业到最有抱负的初创公司——都在使用 Stripe 来接受付款、增长收入并加速新的商业机会。我们的使命是提升互联网的 GDP,而我们面前还有大量工作要做。这意味着,在从事你职业生涯中最重要的工作的同时,你将拥有一个前所未有的机会,让全球经济触手可及。

岗位职责

作为领导数据产品的 PM,你将负责 Stripe 面向商家的数据产品组合的产品战略与执行——定义 Stripe 成为我们商家和代理的最佳数据平台意味着什么。你将制定 Sigma、SDP 和其他数据产品的方向,领导一支 PM 团队,并与工程、设计、销售以及 Stripe 客户紧密合作,塑造企业如何访问、分析其 Stripe 数据并据此采取行动。

这是一个高风险、高可见度的职位。数据访问正日益成为 Stripe 最大客户的核心购买标准,而数据可移植性和嵌入式分析的竞争格局正在快速演变。你需要从战略上思考平台定位,在模糊性中引领方向,并交付能够为非常成熟的用户群体完美运行的产品。

• 制定并负责 Stripe 数据产品的产品战略,定义多年愿景,并将其转化为一条连贯的路线图,在企业增长、自助式扩展和平台质量之间取得平衡

• 领导并发展一支 PM 团队。管理、指导和招聘 PM;打造一支高水准的团队文化,具备强大的产品工艺和清晰的职责归属

• 推动收入和留存成果。深入理解数据产品在 Stripe 销售和自助式动作中的商业作用,并据此进行构建

• 定义商家数据访问的“卓越”标准——从 schema 设计和查询性能,到交付可靠性、延迟 SLA,以及与第三方仓库(Snowflake、BigQuery、Redshift、Databricks)的集成

• 与企业客户合作。直接与 Stripe 最大的用户互动,了解他们如何使用并依赖其 Stripe 数据,并将这些洞察反馈到路线图中

• 驾驭深厚的技术复杂性。与数据工程和基础设施团队就底层 Reporting Data Warehouse 和数据管道架构进行流畅协作

• 预判 AI 转变。识别 AI 原生工作流(代理式数据访问、自然语言查询、自动化报告)在未来 2–3 年应如何重塑产品界面

• 广泛沟通并施加影响。撰写简洁清晰的战略文档,赢得 Product、Sales 和 Finance 高层利益相关者的信任,并在领导层清晰代表数据产品

任职要求

• 10 年以上产品管理经验,包括领导或管理 5 名以上 PM 的 PM 团队的经验

• 深厚的数据产品专业知识。你至少交付过以下之一:BI/分析工具、数据集成产品、仓库连接器或开发者数据 API

• 强大的商业直觉。你理解数据产品如何推动企业交易速度、扩展和留存,并且你曾与 Sales 和 CS 在产品战略上紧密合作

• 技术流利。你能够在关于数据管道架构、仓库连接器、SQL 查询执行和数据交付语义的讨论中独当一面;你不需要编写代码,但需要理解其中的权衡

• 卓越的书面沟通能力。你以 Stripe 文化所要求的清晰和精准进行写作,从紧凑的决策备忘录到多年战略叙述

• 强烈的担当本能。你主动识别需要发生的事情,快速行动而不等待许可,并对结果负责

• 适应复杂的利益相关者环境。数据产品涉及工程、企业销售、客户成功、财务和法律;你能够协调他们而不失节奏

加分项

• 有在主要云数据仓库(Snowflake、BigQuery、Redshift、Databricks)之上构建产品或与其集成的经验

• 熟悉 Stripe 的数据模型以及商家关心的各类分析问题(支付、争议、收入确认、对账)

• 金融科技或支付背景——你理解在数百种支付方式、货币和监管制度下运营所带来的数据复杂性

为什么选择这个职位

Stripe 的商家依靠 Stripe 数据运营他们的业务。当 Stripe 的数据产品在正确的时刻呈现正确的洞察时——商家会做出更好的决策,并继续留在 Stripe。这个职位是直接影响这一结果的杠杆。你将拥有有意义的职责范围、一支强大的团队,以及为世界上最重要的企业定义世界级数据访问体验的机会。

以上内容由机器翻译自动生成,可能存在错误;投递前请以雇主原文为准。

查看雇主原文

职位描述

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

岗位职责

As the PM leading Data Products, you will own the product strategy and execution for Stripe's merchant-facing data portfolio — defining what it means for Stripe to be the best data platform for our merchants and agents. You'll set the direction across Sigma, SDP, and other data products, lead a team of PMs, and work closely with engineering, design, sales, and Stripe customers to shape how businesses access, analyze, and act on their Stripe data.

This is a high-stakes, high-visibility role. Data access is increasingly a core buying criterion for Stripe's largest customers, and the competitive landscape for data portability and embedded analytics is evolving fast. You'll need to think strategically about platform positioning, lead through ambiguity, and ship products that work flawlessly for a very sophisticated user base.

• Set and own the product strategy for Stripe’s data products, defining the multi-year vision and translating it into a coherent roadmap that balances enterprise growth, self-serve expansion, and platform quality

• Lead and develop a PM team. Manage, mentor, and hire PMs; build a high-caliber team culture with strong product craft and clear ownership

• Drive revenue and retention outcomes. Deeply understand the commercial role of data products in Stripe's sales and self serve motions and build accordingly

• Define what "great" looks like for merchant data access — from schema design and query performance to delivery reliability, latency SLAs, and integrations with third-party warehouses (Snowflake, BigQuery, Redshift, Databricks)

• Partner with enterprise customers. Engage directly with Stripe's largest users to understand how they use and rely on their Stripe data, and feed those insights back into the roadmap

• Navigate deep technical complexity. Work fluently with data engineering and infrastructure teams on the underlying Reporting Data Warehouse and data pipeline architecture

• Anticipate the AI shift. Identify how AI-native workflows (agentic data access, natural language querying, automated reporting) should reshape the product surface over the next 2–3 years

• Communicate and influence broadly. Write crisp strategy docs, earn trust from senior stakeholders across Product, Sales, and Finance, and represent Data Products clearly at the leadership level

任职要求

• 10+ years in product management, including experience leading or managing PM teams of 5+ PMs

• Deep expertise in data products. You have shipped at least one of: a BI/analytics tool, a data integration product, a warehouse connector, or a developer data API

• Strong commercial intuition. You understand how data products drive enterprise deal velocity, expansion, and retention, and you've worked closely with Sales and CS on product strategy

• Technically fluent. You can hold your own in discussions about data pipeline architecture, warehouse connectors, SQL query execution, and data delivery semantics; you don't need to write the code but you need to understand the tradeoffs

• Exceptional written communicator. You write with the clarity and precision Stripe's culture demands, from a tight decision memo to a multi-year strategy narrative

• High ownership instincts. You proactively identify what needs to happen, move fast without waiting for permission, and hold yourself accountable to outcomes

• Comfortable in a complex stakeholder environment. Data products touch engineering, enterprise sales, customer success, finance, and legal; you can align them without losing pace

Nice to Have

• Experience building products on top of or integrating with major cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks)

• Familiarity with Stripe's data model and the kinds of analytics questions merchants care about (payments, disputes, revenue recognition, reconciliation)

• Background in fintech or payments — you understand the data complexity that comes with operating across hundreds of payment methods, currencies, and regulatory regimes

Why This Role

Stripe's merchants run their businesses on Stripe data. When Stripe’s data products surface the right insight at the right moment — merchants make better decisions, and they stay on Stripe. This role is a direct lever on that outcome. You'll have meaningful scope, a strong team, and the opportunity to define what world-class data access looks like for the most important businesses in the world.

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