Manager of Managers, Marketing Data Science
maybe not a heading. But we need to include sections only when posting has real specific content for it. For Pay and Benefits we have content. For Responsibilities we have content. For Requirements we have Minimum Requirements. For Benefits we have additional benefits. For Pay we have salary range. Could combine Pay and Benefits into one section? The headings list includes Pay and Benefits separate. We could include both if they have content. Benefits: equity, bonus, 401k, medical, dental, vision, wellness stipends. Pay: salary range. So we can have both. Schedule: The posting includes hybrid work expectations. That could be considered Schedule. It mentions office vs remote expectations, 50% in-office, remote defined as >35 miles. That's schedule/location. So we could include Schedule section with that content. Qualifications: Not separate; maybe we can omit. Skills: Not explicit; maybe omit. Thus sections: About the role? The posting includes "Who we are About Stripe", "About The Team", "What you’ll do". That could be considered About the role. We'll combine into About the role section. Responsibilities: present. Requirements: Minimum Requirements. Benefits: additional benefits. Pay: salary range. Schedule: hybrid work details. We must not include filler like "commensurate with experience". Not present. We must preserve all substantive information; do not invent or summarize away detail. Need to keep details. We need to use
for section headings. Use - for any list of duties/requirements/benefits. Use
for prose.
We need to avoid repeating job title. No markdown.
Let's craft.
First, About the role: combine "Who we are About Stripe", "About The Team", "What you’ll do". We'll write prose paragraphs.
We need to ensure we keep all details: Stripe is a financial infrastructure platform... mission... etc. About The Team: leading Marketing Data team, works with Marketing to support growth, etc. What you’ll do: set direction for data science, analytics, modeling across marketing efforts, partner with Marketing leadership and teams across Sales, Growth, Product, Finance, Engineering, build organization, strengthen measuring incremental impact, identify growth opportunities, use AI in marketing, create reliable data foundations, etc. Also list of bullet points? The "What you’ll do" includes several sentences; we can keep as prose.
Responsibilities: list of bullet points. We'll put each as
- .
Requirements: Minimum Requirements list. We'll put each as
- .
Benefits: list: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; wellness stipends.
Pay: salary range: $273,600 - $410,400 annual US base salary range. Also note about OTE for sales roles (not applicable). Also note about location-based salary for non-US applicants. We'll keep as prose.
Schedule: hybrid work details: role available either in office or remote (35+ miles or 56+ km from a Stripe office). In-office expectations: office-assigned Stripes spend at least 50% of time in a given month in local office or with users. Remote location defined as being 35 miles (56 km) or more from one of our offices. Expectation to regularly work from home rather than a Stripe office. Stripe does not cover cost of relocating to remote location. Encourage to apply for roles matching location where you currently live or plan to live.
We must not include boilerplate like "We look forward to hearing from you." etc. That's generic but maybe considered substantive? It's a closing statement; could be considered boilerplate but it's part of posting. The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The "We look forward to hearing from you." is not exactly those categories; it's a generic closing but maybe okay to keep. However it's not a list; we can keep as prose in About the role or separate? Probably safe to keep as part of About the role? But it's after Pay and benefits. Might be considered filler but not explicitly prohibited. Safer to omit? The instruction says remove boilerplate, but not explicitly that generic closing is boilerplate. I'd keep minimal.
Also "At Stripe, we're looking for people with passion, grit, and integrity..." etc. That's also generic but maybe considered EEO? It's about culture; could be considered boilerplate but not EEO. Might keep? Safer to omit as it's generic fluff. The instruction: remove duplicated lines, and application instructions. The "We look forward to hearing from you." is not application instruction. It's a closing statement. I'd keep it maybe as a paragraph.
But to be safe, I'd include it as a paragraph after Pay and benefits? However the instruction says remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. That's not those. So we can keep.
But also "Please find our California applicant personal information notice here. The application window will remain open for 100 days after the Job Post is published..." That's application instruction/legal; should remove. So we remove that.
Thus final HTML:
About the role
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!
Responsibilities
- 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
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
Benefits
- equity
- company bonus or sales commissions/bonuses
- 401(k) plan
- medical, dental, and vision benefits
- wellness stipends
Pay
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
for prose. We need to avoid repeating job title. No markdown. Let's craft. First, About the role: combine "Who we are About Stripe", "About The Team", "What you’ll do". We'll write prose paragraphs. We need to ensure we keep all details: Stripe is a financial infrastructure platform... mission... etc. About The Team: leading Marketing Data team, works with Marketing to support growth, etc. What you’ll do: set direction for data science, analytics, modeling across marketing efforts, partner with Marketing leadership and teams across Sales, Growth, Product, Finance, Engineering, build organization, strengthen measuring incremental impact, identify growth opportunities, use AI in marketing, create reliable data foundations, etc. Also list of bullet points? The "What you’ll do" includes several sentences; we can keep as prose. Responsibilities: list of bullet points. We'll put each as
About the role
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!
Responsibilities
- 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
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
Benefits
- equity
- company bonus or sales commissions/bonuses
- 401(k) plan
- medical, dental, and vision benefits
- wellness stipends
Pay
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