Jobs · Marketing · New York

Manager of Managers, Marketing Data Science

Stripe · New York, United States · 1 mo ago
Marketing$274k–$410k/yrFull-time
We need to output HTML fragment with sections for headings: About the role? Actually we have sections: Who we are (About Stripe), About The Team, What you’ll do, Responsibilities, Who you are (Minimum Requirements etc), Hybrid work at Stripe, Pay and benefits, Additional benefits etc. Also maybe "Who you are" includes Minimum Requirements and Preferred qualifications? The posting includes "Who you are We’re looking for someone who meets the minimum requirements..." then Minimum Requirements list. Also "Hybrid work at Stripe". Also "Pay and benefits". Also "Additional benefits". Also maybe "We look forward to hearing from you." etc but that's boilerplate? It's not cookie/navigation/legal/EEO etc. It's a closing statement; we can keep as prose under maybe a generic section? But we should only include sections when there is real specific content. The instructions: Use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Use
  • for any list of duties/requirements/benefits, and

    for prose. Do NOT repeat the job title as a heading. Do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short

    or drop it. Preserve ALL substantive information; do NOT invent or summarize away detail. Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. IMPORTANT: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text (e.g. "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless the posting actually states them. Prefer a few substantive sections over many thin ones. Thus we need to decide which sections to include. The posting includes: - Who we are About Stripe (description) - About The Team - What you’ll do (description of role) - Responsibilities (list) - Who you are (minimum requirements etc) - includes Minimum Requirements list, maybe also "Preferred qualifications are a bonus, not a requirement." but no explicit list of preferred qualifications given. So we have Minimum Requirements list. - Hybrid work at Stripe (description) - Pay and benefits (salary range, additional benefits list) - Additional benefits (list) - Possibly "We look forward to hearing from you." etc but that's more generic fluff; could be included as a paragraph under maybe a generic "About Stripe" but we already have that. Might be considered boilerplate? It's not legal/EEO but it's a motivational statement. Might keep as prose under maybe a closing section? But instructions: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. This is not exactly those. It's a closing encouragement. Could keep as a paragraph under maybe "About Stripe" or separate? But we should avoid many thin sections. Perhaps combine "Who we are About Stripe" and "About The Team" and "What you’ll do" into a single "About the role" section? But the instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we should map content to those headings. Thus: - About the role: combine Who we are About Stripe, About The Team, What you’ll do (maybe also Hybrid work? but that's separate). Could be a few paragraphs. - Responsibilities: the list under Responsibilities. - Requirements: Minimum Requirements list (maybe also include "Who you are" intro). Could be a list. - Qualifications: maybe not needed if we already have Requirements; but we could treat Requirements as qualifications. The instruction says use headings like Requirements, Qualifications, Skills. We could have Requirements for minimum requirements, and Qualifications for preferred qualifications (none given). Since no preferred qualifications list, we should not create a Qualifications section if it would be empty/filler. So skip. - Skills: maybe not needed. - Benefits: we have Hybrid work description (maybe under Benefits? but Hybrid work is about work arrangement). Could be under Benefits or Schedule? Actually Hybrid work is about location expectations; could be under Schedule? Not exactly. Could be under Benefits as a benefit (flexible work). But we also have Pay and benefits section with salary and additional benefits. So we could have Pay section for salary range, Benefits section for additional benefits (equity, bonus, 401k, medical, dental, vision, wellness stipends) and maybe also hybrid work? Could include hybrid work under Benefits as a bullet. - Schedule: not specified; we should not create Schedule section if not stated. Thus we will have sections: About the role (h3), Responsibilities (h3), Requirements (h3), Benefits (h3), Pay (h3). Possibly also Hybrid work as part of Benefits. We must not repeat job title as heading. Good. We must preserve all substantive information. So we need to include all details from each section. Let's extract content. About Stripe paragraph: "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 inference, to working with our partner teams to rigorously define and forecast metrics. If this sounds exciting, we hope you will join us!" We can combine these into About the role section as multiple paragraphs. Responsibilities list: bullet points: - 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 We need to output as

    • each. Who you are / Minimum Requirements: The paragraph: "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." Then Minimum Requirements list (numbered). We need to preserve all items. Let's extract: 1. 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 2. 5+ years leading data science or analytics teams, including 3+ years managing managers and scaling organizations 3. Experience as a senior data leader shaping business strategy and influencing executive decisions 4. Deep marketing data science experience, including measurement, experimentation, causal inference, targeting, attribution, or investment optimization 5. Ability to set a long-term data strategy and translate it into a focused roadmap with measurable outcomes 6. Track record of leading complex, cross-functional data initiatives from ambiguous problem definition through adoption 7. Strong statistical foundation, particularly in measuring marketing effectiveness and incremental impact 8. Working knowledge of SQL and a scientific computing language such as Python or R 9. Ability to turn complex analysis into clear, actionable recommendations for senior leaders 10. Proven ability to build alignment across Marketing, Finance, Product, Sales, and Engineering 11. Demonstrated success recruiting and developing senior data scientists, analysts, and managers We should output as
      • each. Hybrid work at Stripe: paragraphs: "This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office). In-office expectations Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. Working remotely at Stripe A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently live or plan to live." We can include this as part of Benefits section (flexible work) or as its own section maybe "Work arrangement". But instruction says use headings like Benefits, Pay, Schedule. Hybrid work is about location flexibility, could be under Benefits. We'll include a bullet under Benefits. Pay and benefits: paragraphs: "The annual US base salary range for this role is $273,600 - $410,400. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends." We need to separate Pay (salary range) and Benefits (additional benefits). The instruction says we can have Pay and Benefits sections. So we will have Pay section with salary range paragraph. Benefits section with list of additional benefits

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