Manager of Managers, Marketing Data Science
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Do NOT repeat the job title as a heading. We need to include sections only when posting has real, specific content. The posting includes: Who we are (About Stripe, About The Team) maybe "About the role"? Not exactly. There's "What you'll do" which is responsibilities. There's "Who you are" which includes minimum requirements, preferred qualifications, etc. There's "Hybrid work at Stripe" (maybe schedule?). There's "Pay and benefits". There's also "Additional benefits". There's no explicit schedule details besides hybrid work description. Could treat hybrid work as Schedule? The instruction: Use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can have sections: About the role (maybe combine Who we are/About The Team?), Responsibilities, Requirements (minimum requirements), Qualifications (preferred qualifications?), Benefits, Pay, Schedule (hybrid work). We must not create sections with filler like "commensurate with experience". We have actual content.
We must preserve all substantive information, not invent or summarize away detail. Must not include boilerplate like cookie/navigation/legal/EEO etc. The posting includes some boilerplate at end: "At Stripe, we're looking for people...". That's maybe not boilerplate but still part of posting; we should keep? It's not a list; it's prose. Should we keep? It's not explicitly boilerplate; it's motivational. Probably keep as part of About the role? Might be considered fluff but it's substantive? The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The final paragraphs about "At Stripe, we're looking for people..." and "Apply now" etc are maybe application instructions? "Apply now" is instruction. Also "Please find our California applicant personal information notice here." and "The application window will remain open..." That's application instructions; should be removed. Also "At Stripe, we welcome diverse perspectives..." maybe not boilerplate but could be considered EEO? It's about diversity; could be considered EEO boilerplate. Safer to remove that as EEO. Also "Join us. Apply now" definitely application instruction. So we should cut those.
We need to keep all substantive info: Who we are About Stripe, About The Team, What you'll do, Responsibilities, Who you are (minimum requirements, preferred qualifications), Hybrid work at Stripe, Pay and benefits, Additional benefits.
We need to format as HTML fragment with headings and - for lists,
for prose.
We need to avoid repeating job title as heading. No job title given explicitly; we can ignore.
We need to decide sections:
- About the role: could combine "Who we are About Stripe" and "About The Team" and "What you'll do". That's prose.
- Responsibilities: list of responsibilities bullet points.
- Requirements: minimum requirements bullet list.
- Qualifications: preferred qualifications? The posting says "The preferred qualifications are a bonus, not a requirement." but doesn't list them explicitly; it just says preferred qualifications are a bonus. No actual list. So we should not create Qualifications section because no specific content. So skip.
- Skills: not listed explicitly; could infer but not given. So skip.
- Benefits: Additional benefits bullet list.
- Pay: salary range.
- Schedule: Hybrid work description.
We must not create sections with filler like "not specified". So only include those with content.
Now extract content.
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 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 prose.
Now Responsibilities bullet list:
- 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
Now Requirements (minimum requirements) bullet list:
- 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
Now Benefits (additional benefits) bullet list:
- equity
- company bonus or sales commissions/bonuses
- 401(k) plan
- medical, dental, and vision benefits
- wellness stipends
Pay: salary range: "The annual US base salary range for this role is $273,600 - $410,400." Also note about sales roles OTE but this is not sales role; still include that sentence? It says "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 is generic note; we can include as part of Pay section prose.
Also note about location-based salary for non-US applicants: "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." Include.
Now Schedule/Hybrid work:
"Hybrid work at Stripe 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 put that under Schedule section as prose.
Now ensure we don't include any boilerplate like "At Stripe, we're looking for people with passion, grit, and integrity..." etc. Also remove "Apply now" etc.
Now produce HTML fragment:
About the role
...combined prose...
Responsibilities
- ...
...
Requirements
- ...
...
Benefits
- ...
...
Pay
...salary range...
Schedule
...hybrid work...
Make sure no extra sections.
Now craft the prose for About the role: combine the three paragraphs.
Let's write:
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. 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. 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
headings and - for lists,
for prose.
We need to avoid repeating job title as heading. No job title given explicitly; we can ignore.
We need to decide sections:
- About the role: could combine "Who we are About Stripe" and "About The Team" and "What you'll do". That's prose.
- Responsibilities: list of responsibilities bullet points.
- Requirements: minimum requirements bullet list.
- Qualifications: preferred qualifications? The posting says "The preferred qualifications are a bonus, not a requirement." but doesn't list them explicitly; it just says preferred qualifications are a bonus. No actual list. So we should not create Qualifications section because no specific content. So skip.
- Skills: not listed explicitly; could infer but not given. So skip.
- Benefits: Additional benefits bullet list.
- Pay: salary range.
- Schedule: Hybrid work description.
We must not create sections with filler like "not specified". So only include those with content.
Now extract content.
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 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 prose.
Now Responsibilities bullet list:
- 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
Now Requirements (minimum requirements) bullet list:
- 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
Now Benefits (additional benefits) bullet list:
- equity
- company bonus or sales commissions/bonuses
- 401(k) plan
- medical, dental, and vision benefits
- wellness stipends
Pay: salary range: "The annual US base salary range for this role is $273,600 - $410,400." Also note about sales roles OTE but this is not sales role; still include that sentence? It says "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 is generic note; we can include as part of Pay section prose.
Also note about location-based salary for non-US applicants: "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." Include.
Now Schedule/Hybrid work:
"Hybrid work at Stripe 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 put that under Schedule section as prose.
Now ensure we don't include any boilerplate like "At Stripe, we're looking for people with passion, grit, and integrity..." etc. Also remove "Apply now" etc.
Now produce HTML fragment:
About the role
...combined prose...
Responsibilities
- ...
...
Requirements
- ...
...
Benefits
- ...
...
Pay
...salary range...
Schedule
...hybrid work...
Make sure no extra sections.
Now craft the prose for About the role: combine the three paragraphs.
Let's write:
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. 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. 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
for prose. We need to avoid repeating job title as heading. No job title given explicitly; we can ignore. We need to decide sections: - About the role: could combine "Who we are About Stripe" and "About The Team" and "What you'll do". That's prose. - Responsibilities: list of responsibilities bullet points. - Requirements: minimum requirements bullet list. - Qualifications: preferred qualifications? The posting says "The preferred qualifications are a bonus, not a requirement." but doesn't list them explicitly; it just says preferred qualifications are a bonus. No actual list. So we should not create Qualifications section because no specific content. So skip. - Skills: not listed explicitly; could infer but not given. So skip. - Benefits: Additional benefits bullet list. - Pay: salary range. - Schedule: Hybrid work description. We must not create sections with filler like "not specified". So only include those with content. Now extract content. 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 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 prose. Now Responsibilities bullet list: - 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 Now Requirements (minimum requirements) bullet list: - 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 Now Benefits (additional benefits) bullet list: - equity - company bonus or sales commissions/bonuses - 401(k) plan - medical, dental, and vision benefits - wellness stipends Pay: salary range: "The annual US base salary range for this role is $273,600 - $410,400." Also note about sales roles OTE but this is not sales role; still include that sentence? It says "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 is generic note; we can include as part of Pay section prose. Also note about location-based salary for non-US applicants: "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." Include. Now Schedule/Hybrid work: "Hybrid work at Stripe 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 put that under Schedule section as prose. Now ensure we don't include any boilerplate like "At Stripe, we're looking for people with passion, grit, and integrity..." etc. Also remove "Apply now" etc. Now produce HTML fragment:
About the role
...combined prose...
Responsibilities
- ... ...
Requirements
- ... ...
Benefits
- ... ...
Pay
...salary range...
Schedule
...hybrid work...
Make sure no extra sections. Now craft the prose for About the role: combine the three paragraphs. Let's write: 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. 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. 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