Manager of Managers, Marketing Data Science
Stripe · Seattle, WA OR New York, NY OR Remote North America
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职位描述
机器翻译我们是谁
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，在你职业生涯中最重要的工作中，你将拥有一个前所未有的机会，让全球经济触手可及。
关于团队
你将领导 Stripe 的市场营销数据团队。该团队与 Stripe 市场营销部门合作，通过建立认知、改善品牌形象、扩展自助服务体验、扩大所有细分市场的销售管道，以及推动多产品采用，来支持 Stripe 的增长。你将与市场营销领导层密切合作，推动以数据为依据的战略，从而加速 Stripe 的增长。该团队跨广泛的营销渠道开展工作，并致力于触达多元化的客户群体，包括初创公司、小型企业、大型企业和消费者。
你将做什么
Stripe 的市场营销数据团队帮助市场营销部门就增长投资的地点和方式做出明智决策。作为该团队的负责人，你将确定 Stripe 各项营销工作中数据科学、分析和建模的方向。你将与市场营销领导层以及销售、增长、产品、财务和工程等团队合作，将数据、衡量和业务战略连接起来。
你将建立并发展一个组织，将复杂问题转化为切实决策。你的团队将加强 Stripe 衡量增量影响、识别增长机会以及在市场营销中使用人工智能的方式，同时打造可靠的数据基础，使各团队能够据此做出一致的决策。
Stripe 的数据科学运用完整的工具箱来推进我们打造世界领先金融产品和基础设施的使命，从实验和因果推断
岗位职责
Stripe 的市场营销数据团队帮助市场营销部门就增长投资的地点和方式做出明智决策。作为该团队的负责人，你将确定 Stripe 各项营销工作中数据科学、分析和建模的方向。你将与市场营销领导层以及销售、增长、产品、财务和工程等团队合作，将数据、衡量和业务战略连接起来。
你将建立并发展一个组织，将复杂问题转化为切实决策。你的团队将加强 Stripe 衡量增量影响、识别增长机会以及在市场营销中使用人工智能的方式，同时打造可靠的数据基础，使各团队能够据此做出一致的决策。
Stripe 的数据科学运用完整的工具箱来推进我们打造世界领先金融产品和基础设施的使命，从实验和因果推断，到与我们的合作伙伴团队合作，严谨地定义和预测指标。如果这听起来令人兴奋，我们希望你能加入我们！
• 为市场营销数据制定愿景和多年路线图，使团队优先事项与 Stripe 更广泛的增长战略保持一致
• 在市场营销和数据科学领域担任领导者，帮助制定战略，并在公司关键决策中代表数据所发挥的作用
• 制定营销衡量战略，将营销投资与增量增长、销售管道、收入、产品采用和长期客户价值联系起来
• 指导跨渠道、受众、市场和产品的投资决策，帮助领导者理解权衡并分配资源
• 开发定向、倾向和优化模型，改进 Stripe 触达和互动潜在用户及现有用户的方式
• 与市场营销和财务领导层合作，进行预测、目标设定、预算规划和绩效管理
• 建立可信的营销指标、数据来源和衡量标准，使各团队能够据此做出一致的决策
• 确定市场营销如何使用人工智能来改进决策、活动执行和团队生产力的方向
• 将复杂分析转化为清晰的建议，影响高层领导者并推动跨职能的一致性
• 建立并发展一支由数据科学家、分析师和管理者组成的高绩效组织，并制定明确的质量和影响标准
• 与销售、增长、产品、财务和工程等领域的高层领导者合作，交付共同的业务成果
任职要求
我们正在寻找符合该职位最低要求的人选。如果你符合这些要求，我们鼓励你申请。优先资格是加分项，而非必需条件。
最低要求
• 在量化领域拥有学士学位并具备 15 年以上相关经验，或硕士学位并具备 12 年以上经验，或博士学位并具备 8 年以上经验
• 5 年以上领导数据科学或分析团队的经验，其中包括 3 年以上管理管理者和扩展组织的经验
• 具备作为高级数据领导者制定业务战略并影响高管决策的经验
• 深厚的营销数据科学经验，包括衡量、实验、因果推断、定向、归因或投资优化
• 能够制定长期数据战略，并将其转化为具有可衡量成果的聚焦路线图
• 具备领导复杂、跨职能数据计划从模糊的问题定义到落地采用的过往业绩
• 扎实的统计学基础，尤其是在衡量营销有效性和增量影响方面
• 具备 SQL 以及 Python 或 R 等科学计算语言的工作知识
• 能够将复杂分析转化为面向高层领导者的清晰、可执行的建议
• 具备在市场营销、财务、产品、销售和工程之间建立一致性的可靠能力
• 在招聘和发展高级数据科学家、分析师和管理者方面有成功经验
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。
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职位描述
Who we are
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.
About the team
You’ll be leading Stripe’s Marketing Data team. This team works with Stripe Marketing to support Stripe’s growth by building awareness, improving brand perception, scaling self-serve experiences, expanding the sales pipeline across all segments, and driving multi-product adoption. You will work closely with Marketing leadership to drive data-informed strategies that will accelerate Stripe’s growth. The team works across a wide range of marketing channels and aims to reach a diverse audience of customers including startups, small businesses, major enterprises, and consumers.
What you’ll do
Stripe’s Marketing Data team helps Marketing make informed decisions about where and how to invest for growth. As the team’s leader, you’ll set the direction for data science, analytics, and modeling across Stripe’s marketing efforts. You’ll partner with Marketing leadership and teams across Sales, Growth, Product, Finance, and Engineering to connect data, measurement, and business strategy.
You’ll build and develop an organization that turns complex questions into practical decisions. Your team will strengthen how Stripe measures incremental impact, identifies growth opportunities, and uses artificial intelligence in marketing, while creating reliable data foundations that teams can use to make consistent decisions.
Data Science at Stripe employs the full toolbox in order to advance our mission of building world-leading financial products and infrastructure, from experiments and causal inferen
岗位职责
Stripe’s Marketing Data team helps Marketing make informed decisions about where and how to invest for growth. As the team’s leader, you’ll set the direction for data science, analytics, and modeling across Stripe’s marketing efforts. You’ll partner with Marketing leadership and teams across Sales, Growth, Product, Finance, and Engineering to connect data, measurement, and business strategy.
You’ll build and develop an organization that turns complex questions into practical decisions. Your team will strengthen how Stripe measures incremental impact, identifies growth opportunities, and uses artificial intelligence in marketing, while creating reliable data foundations that teams can use to make consistent decisions.
Data Science at Stripe employs the full toolbox in order to advance our mission of building world-leading financial products and infrastructure, from experiments and causal inference, to working with our partner teams to rigorously define and forecast metrics. If this sounds exciting, we hope you will join us!
• Set the vision and multi-year roadmap for Marketing Data, aligning the team’s priorities with Stripe’s broader growth strategy
• Serve as a leader across Marketing and Data Science, helping shape strategy and representing the role of data in key company decisions
• Build a marketing measurement strategy that connects marketing investments to incremental growth, pipeline, revenue, product adoption, and long-term customer value
• Guide investment decisions across channels, audiences, markets, and products, helping leaders understand tradeoffs and allocate resources
• Develop targeting, propensity, and optimization models that improve how Stripe reaches and engages prospective and existing users
• Partner with Marketing and Finance leadership on forecasting, goal setting, budget planning, and performance management
• Establish trusted marketing metrics, data sources, and measurement standards that teams can use to make consistent decisions
• Set the direction for how Marketing uses AI to improve decision-making, campaign execution, and team productivity
• Turn complex analysis into clear recommendations, influencing senior leaders and building alignment across functions
• Build and develop a high-performing organization of data scientists, analysts, and managers, with clear standards for quality and impact
• Partner with senior leaders across Sales, Growth, Product, Finance, and Engineering to deliver shared business outcomes
任职要求
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
• 15+ years of relevant experience with a bachelor’s degree, 12+ years with a master’s, or 8+ years with a PhD in a quantitative field
• 5+ years leading data science or analytics teams, including 3+ years managing managers and scaling organizations
• Experience as a senior data leader shaping business strategy and influencing executive decisions
• Deep marketing data science experience, including measurement, experimentation, causal inference, targeting, attribution, or investment optimization
• Ability to set a long-term data strategy and translate it into a focused roadmap with measurable outcomes
• Track record of leading complex, cross-functional data initiatives from ambiguous problem definition through adoption
• Strong statistical foundation, particularly in measuring marketing effectiveness and incremental impact
• Working knowledge of SQL and a scientific computing language such as Python or R
• Ability to turn complex analysis into clear, actionable recommendations for senior leaders
• Proven ability to build alignment across Marketing, Finance, Product, Sales, and Engineering
• Demonstrated success recruiting and developing senior data scientists, analysts, and managers