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产品营销,数据产品

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查看雇主原标题Product Marketing, Data Products

Stripe · US / 加拿大

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。这意味着你拥有一个前所未有的机会,在从事你职业生涯中最重要的工作的同时,让全球经济触手可及。

岗位职责

作为 Stripe 数据产品 GTM 战略的关键负责人,你需要快速深入理解我们的产品、数据分析买家以及我们的竞争差异化。你将:

• 成为我们数据分析买家的专家——理解数据分析师、分析工程师和 BI 从业者如何评估和采用工具,并将这些洞察转化为产品路线图建议和 GTM 战略。

• 负责 Stripe 数据产品的定位和 messaging,在竞争激烈的市场中建立清晰且差异化的观点。

• 推动数据产品发布的端到端 go-to-market——从定义叙事和目标受众,到开发推动销售和自助服务模式采用的资产和项目。

• 与需求生成和营销活动团队合作,设计和执行触达数据分析买家并大规模加速产品采用的项目。

• 构建销售赋能——开发 messaging 框架、竞争 battlecard 和资产,帮助销售团队清晰阐述 Stripe 数据产品的价值。

• 负责分析和 BI 领域的竞争情报,跟踪竞争对手并将这些情报转化为差异化的定位和销售工具。

• 定义项目 KPI,并对数据产品组合中可衡量的业务成果保持问责。

最低要求

• 10 年以上产品营销经验,最好是在 B2B 科技领域。

• 具备建设者心态,行动导向强。能够适应模糊性,能够快速实验和调整。

• 出色的沟通和演示能力,并有将复杂技术概念提炼为面向高管和外部受众的引人入胜叙事的成功经验。

• 卓越的跨职能领导力,能够在各个层级和职能中施加影响,从高级领导层到项目团队。

• 能够在战略和执行之间自如切换——从大局到细节。

• 有将客户和市场洞察转化为差异化定位和可衡量 GTM 项目的成功经验。

任职要求

• 深入了解数据分析生态系统——BI 工具、云数据仓库和分析工作流——并有向数据分析师或分析工程师买家进行营销的成功经验。

• 有向数据工程师、分析工程师或开发者等技术受众进行营销的经验。

• AI 驱动工具的重度用户(和构建者)。

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 a key owner of our GTM strategy for Stripe's data products, you'll need to quickly build a deep understanding of our products, the data analytics buyer, and our competitive differentiation. You will:

• Be the expert on our data analytics buyers — understand how data analysts, analytics engineers, and BI practitioners evaluate and adopt tools, and translate those insights into product roadmap recommendations and GTM strategy.

• Own positioning and messaging for Stripe's data products, building a clear and differentiated point of view in a competitive market.

• Drive end-to-end go-to-market for data product launches — from defining the narrative and target audience to developing the assets and programs that drive adoption across sold and self-serve motions.

• Partner with demand generation and campaigns to design and execute programs that reach the data analytics buyer and accelerate product adoption at scale.

• Build sales enablement — develop the messaging frameworks, competitive battlecards, and assets that help sales teams clearly articulate the value of Stripe's data products.

• Own competitive intelligence for the analytics and BI landscape, tracking competitors and turning that intelligence into differentiated positioning and sales tools.

• Define program KPIs and maintain accountability to measurable business outcomes across the data products portfolio.

Minimum requirements

• 10+ years of product marketing experience, preferably in B2B tech.

• A builder mentality with a strong bias to action. Comfortable with ambiguity, able to experiment and adapt at pace.

• Excellent communication and presentation abilities, with a proven track record of distilling complex technical concepts into compelling narratives for executive and external audiences.

• Exceptional cross-functional leadership and ability to influence across all levels and functions, from senior leadership to project teams.

• High comfort toggling between strategy and execution — big picture to fine detail.

• Proven ability to translate customer and market insights into differentiated positioning and measurable GTM programs.

任职要求

• Deep familiarity with the data analytics ecosystem — BI tools, cloud data warehouses, and analytics workflows — and a proven ability to market to the data analyst or analytics engineer buyer.

• Experience marketing to technical audiences such as data engineers, analytics engineers, or developers.

• Power user (and builder) of AI-powered tooling.

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