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This role is intended for current high school students graduating in 2027 or later. Who we are About Stripe Stripe is a technology company focused on improving the conditions for economic growth and prosperity. We build programmable financial infrastructure, rethinking from first principles how financial services should work, to make it easier and cheaper for any business to start and scale. More than 10 million businesses build on Stripe, spanning the economic frontier, from solo founders to established enterprises, united by a practical focus on growth. The most ambitious companies in the world use Stripe as core infrastructure to grow faster. They process trillions of dollars a year on Stripe, equivalent to around 1.6% of global GDP. While economic growth makes everyone better off, open markets also enable greater variety. When any business can easily serve a global customer base, the quality and diversity of products in the world increase, and craft and creativity are unleashed into the smallest niches. Our own growth is wholly contingent on the success of the businesses building on Stripe. We therefore invest back into our technology at an unusual rate. We make upgrades to our products every single day to deliver compounding gains to our customers. We maintain some of the most reliable APIs on the internet. We build entirely new pieces of financial infrastructure to enable new ideas. And our significant advances in risk and fraud infrastructure over many years are making the internet economy safer and more accessible. Though people at Stripe do not tend to take themselves seriously, Stripe is a fairly serious place: our customers are depending on us for their livelihoods. We admire ambition, intensity, curiosity, humility, and rigor. The most effective people become knowledgeable about many domains besides their own. Any company is an applied exercise in understanding some aspect of society or the market. In working with so many, especially the new and innovative ones, we think that Stripe is one of the very best places to learn about how the world works. What you’ll do This is a small, selective internship for exceptional high school students and recent graduates whose technical work already stands out well beyond what we typically see at this stage. We are not looking for potential or credentials alone. We are looking for students who can show, through what they have built, researched, or contributed, that they are ready to do substantive engineering work with a Stripe team. You will spend 12 consecutive weeks between May and August working in person from Stripe’s San Francisco or Seattle office on a scoped engineering project. You will own a problem end to end with support from your manager and teammates, contribute to Stripe’s codebase, and learn how engineers build reliable systems used by millions of businesses. Recent Stripe intern projects include expanding Payments Foundation Model capabilities to improve generalized anomaly detection, building more approachable fraud controls, creating safer payouts, and developing user-facing solutions that prevent costly pricing mistakes and make merchant checkout setup easier. You will work alongside Stripe’s collegiate interns and full-time employees. That means participating in the same team environment, learning how engineers at different stages approach technical decisions, and building relationships across the broader Stripe community. This is not a trainee or classroom-based program. You will receive support from your manager and teammates, but you will be expected to contribute to your team’s work, learn quickly, communicate clearly, ask strong questions, and produce work that holds up under technical review. As with Stripe’s collegiate internships, strong performance may lead to consideration for future opportunities at Stripe, including full-time employment for interns who meet the relevant eligibility and hiring requirements. Future opportunities are not guaranteed and will depend on individual performance and Stripe’s hiring needs. Responsibilities Participate fully in the team you join, including team discussions, decisions, and the technical design process. Write, test, and document software intended for production use by Stripe teams and users. Give and receive technical feedback through code reviews and design discussions. Collaborate with engineers and cross-functional partners to seek and incorporate feedback. Learn unfamiliar systems through independent research and close work with your manager, mentor, teammates, and subject matter experts. Communicate the status of your work clearly, including progress, risks, open questions, and where you need help. Use current AI development tools thoughtfully while applying rigorous judgment to review, refine, test, and validate outputs. What We Look For We don't have a test score threshold. We look for people who have already started acting like the engineers and operators we most admire. Ambitious builder: Y ou are energized by building solutions without a clear precedent and working through difficult technical problems. You can point to technical work that shows unusual initiative, depth, or originality for someone at your stage. Rigorous thinker: You care about whether your work is correct, not just whether it runs. You test your assumptions, examine edge cases, and can explain the choices you made. Adaptable problem solver: You learn quickly, respond well to feedback, and keep making progress when the path is unclear. Collaborative teammate: You communicate clearly, treat others with kindness, and know when to work independently and when to ask for help. Minimum requirements Currently enrolled in high school, or graduating from high school before the internship begins. Available to work full-time and in person from Stripe’s San Francisco or Seattle office for 12 consecutive weeks during a mutually agreed period between May and August 2027. We cannot accommodate remote participation, a shorter internship, or breaks within the 12-week period. Experience programming through independent projects, research, coursework, competitions, open source contributions, a startup, or another setting. We work mostly in Ruby, Java, JavaScript, Go, and Scala. We believe new programming languages can be learned when the fundamentals are strong. Evidence of exceptional technical achievement for your stage. This could include a product or system you built, a substantial open source contribution, original research, meaningful work at a startup, advanced competition performance, or another body of work that demonstrates comparable depth and ownership. Ability to explain your individual contribution to the work you submit, including the problem, technical decisions, tradeoffs, testing, feedback, and what you would improve. Experience working with others on a technical project and incorporating feedback from peers, mentors, teachers, users, or collaborators. Ability to learn unfamiliar systems through independent research and work with a mentor or subject matter expert. Clear written and verbal communication. Ability to meet the employment eligibility, minimum age, and documentation requirements for the role’s location by the internship start date. Final contract language is subject to Legal review. Preferred qualifications One or more areas of deeper technical knowledge, such as frontend, backend, infrastructure, data, machine learning, security, or developer tools, balanced with strong general programming fundamentals. Experience writing high-quality pull requests, tests, technical documentation, or design notes. Familiarity navigating an unfamiliar codebase or contributing to a multi-person project. A record of sustained technical work over time, not only one-time awards or credentials. Curiosity about how businesses operate and how software can improve the conditions for economic growth. What to submit A resume or short summary of your technical experience. In that summary please include one or two examples of your strongest work, such as a repository, live product, technical paper, research abstract, competition submission, or project write-up. Private work may be described without sharing confidential material. For each example, a short explanation of the problem, what you personally contributed, the hardest technical decision, how you tested the work, and what you learned. Optional: High school transcript, standardized test scores. Please note that this is an hourly position with a pay rate of $60 per hour.

Who we are About Privy Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. Learn more about Privy: Privy and Stripe: Bringing crypto to everyone About the team Engineering at Privy is distinguished by: High urgency: Shipping very small iterations, very fast, to learn very quickly. Product taste: Our customers are developers, and to build effective products for them requires technical knowledge - you will often be "the PM". Security mindset: A great portion of our product is trust. While we have a dedicated security team, every engineer brings security to their designs from the start. In practice, we use boring technology like Node, React, and AWS so we can focus our engineering energy entirely on pushing the boundaries of Privy's core product, e.g. through hardware enclaves, multi-region low latency APIs, and blockchain abstractions that are accessible to mainstream developers. What you'll do Design and build the backend systems that power wallets, identity, and onchain infrastructure at scale Create platform primitives and APIs that enable teams across Privy and Stripe to build faster Lead complex technical initiatives across architecture, data, and distributed systems Improve the scalability, reliability, and performance of our core platform Help shape our technical direction through high-leverage engineering work Who you are Minimum requirements Deep experience building and maintaining a production system at scale An understanding of modern API development best practices and design Experience in building data models, managing database migrations and best practices, and infrastructure configuration An ability to thrive in a fast-paced environment A growth mindset, a constant curiosity, and fearlessness to dive into the unknown An ability to write maintainable, well-tested, modular code, but also be pragmatic about moving fast Excellent written and verbal communication skills, including the ability to write clear technical documentation Preferred qualifications Experience in an API-driven business within payments, fintech, or crypto Built or contributed to open-source developer tooling Published work (open source code, talks, blog posts, etc.) Experience working with blockchain protocols and designing or interacting with smart contracts Experience in authentication, identity, or security

Who we are About Stripe Stripe is a technology company focused on improving the conditions for economic growth and prosperity. We build programmable financial infrastructure, rethinking from first principles how financial services should work, to make it easier and cheaper for any business to start and scale. More than 10 million businesses build on Stripe, spanning the economic frontier—from solo founders to established enterprises—united by a practical focus on growth. The most ambitious companies in the world use Stripe as core infrastructure to grow faster. They process trillions of dollars a year on Stripe, equivalent to around 1.6% of global GDP. While economic growth makes everyone better off, open markets also enable greater variety. When any business can easily serve a global customer base, the quality and diversity of products in the world increase, and craft and creativity are unleashed into the smallest niches. Our own growth is wholly contingent on the success of the businesses building on Stripe. We therefore invest back into our technology at an unusual rate. We make upgrades to our products every single day to deliver compounding gains to our customers. We maintain some of the most reliable APIs on the internet. We build entirely new pieces of financial infrastructure to enable new ideas. And our significant advances in risk and fraud infrastructure over many years are making the internet economy safer and more accessible. Though people at Stripe don’t tend to take themselves seriously, Stripe is a fairly serious place: our customers are depending on us for their livelihoods. We admire ambition, intensity, curiosity, humility, and rigor. The most effective people become knowledgeable about many domains besides their own. Any company is an applied exercise in understanding some aspect of society or the market. In working with so many (especially the new and innovative ones), we think that Stripe is one of the very best places to learn about how the world works. About the team Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our Fraud, Losses, and Financial Crime Data Science team builds the models and data products that protect Stripe and its users from fraud, account takeover, and financial crime. We own the full fraud and loss modeling stack - from account takeover detection and card fraud classification to merchant-level loss estimation, unsupervised anomaly detection, and financial crime risk modeling. We partner with Fraud Engineering, Financial Crimes Engineering, and Risk Operations to bring these systems into production and ensure they have measurable impact on Stripe's financial integrity and user trust. What you’ll do As an intern at Stripe you’ll work on projects across our stack that directly impact the way millions of businesses operate. You’ll own problems end to end with the support of your manager and teammates. It’s an opportunity to work alongside some of the most creative and technically rigorous data analysts and scientists in the industry. You'll partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You'll work closely with partners to extract insights from the rich and complex data at Stripe. You'll build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You'll deliver actionable business recommendations through analyses and data storytelling. Our internship program is competitive and the expectations are high. Responsibilities Applying probability distributions, statistical inference, and hypothesis testing to quantify uncertainty and evaluate business outcomes Using Python or R for data analysis, data processing, visualizations, statistical modeling, machine learning, predictive analytics, automation, and implementing causal inference and experimental analyses Building, training, and evaluating predictive models across regression and classification tasks for bias-variance trade-offs and model selection Modeling temporal dependencies, seasonality, and trend decomposition to generate and evaluate time-series predictions Identifying structural patterns, clusters, and outliers in unlabeled data Deploying models in production and adjusting model thresholds to improve performance Designing, running, and analyzing complex experiments and leveraging causal inference designs Using SQL and Spark to create, transform, and analyze large datasets Learn quickly by asking great questions, finding how to work with your mentor and teammates effectively, and communicating the status of your work clearly Present your work to the Data Science team, partner teams, and fellow interns. Who you are Ambitious builder: You’re energized by building solutions without clear precedent and solving problems with far-reaching consequences. Successful Stripes are deeply curious, and prefer the joy of discovery to the comfort of certainty. Rigorous thinker: You appreciate that things worth doing are rarely simple. You enjoy working on problems that have never been tackled before. Adaptable problem solver: You adapt quickly and treat obstacles as opportunities. At Stripe we embrace kindness while encouraging Stripes to take measured risks and act boldly, even in the absence of consensus. Minimum requirements Enrolled in a quantitative PhD program (e.g. Data Science, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in December 2027 or spring/summer 2028 Experience with SQL and a scientific computing language (such as Python, R, etc.) Proficiency with AI tools to accelerate model development, analysis, and coding Experience communicating and collaborating with multidisciplinary stakeholders in a team environment Preferred qualifications Experience writing and debugging data pipelines Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts

Who we are About Stripe Stripe is a technology company focused on improving the conditions for economic growth and prosperity. We build programmable financial infrastructure, rethinking from first principles how financial services should work, to make it easier and cheaper for any business to start and scale. More than 10 million businesses build on Stripe, spanning the economic frontier—from solo founders to established enterprises—united by a practical focus on growth. The most ambitious companies in the world use Stripe as core infrastructure to grow faster. They process trillions of dollars a year on Stripe, equivalent to around 1.6% of global GDP. While economic growth makes everyone better off, open markets also enable greater variety. When any business can easily serve a global customer base, the quality and diversity of products in the world increase, and craft and creativity are unleashed into the smallest niches. Our own growth is wholly contingent on the success of the businesses building on Stripe. We therefore invest back into our technology at an unusual rate. We make upgrades to our products every single day to deliver compounding gains to our customers. We maintain some of the most reliable APIs on the internet. We build entirely new pieces of financial infrastructure to enable new ideas. And our significant advances in risk and fraud infrastructure over many years are making the internet economy safer and more accessible. Though people at Stripe don’t tend to take themselves seriously, Stripe is a fairly serious place: our customers are depending on us for their livelihoods. We admire ambition, intensity, curiosity, humility, and rigor. The most effective people become knowledgeable about many domains besides their own. Any company is an applied exercise in understanding some aspect of society or the market. In working with so many (especially the new and innovative ones), we think that Stripe is one of the very best places to learn about how the world works. About the team Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our Fraud, Losses, and Financial Crime Data Science team builds the models and data products that protect Stripe and its users from fraud, account takeover, and financial crime. We own the full fraud and loss modeling stack - from account takeover detection and card fraud classification to merchant-level loss estimation, unsupervised anomaly detection, and financial crime risk modeling. We partner with Fraud Engineering, Financial Crimes Engineering, and Risk Operations to bring these systems into production and ensure they have measurable impact on Stripe's financial integrity and user trust. What you’ll do As an intern at Stripe you’ll work on projects across our stack that directly impact the way millions of businesses operate. You’ll own problems end to end with the support of your manager and teammates. It’s an opportunity to work alongside some of the most creative and technically rigorous data analysts and scientists in the industry. You'll partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You'll work closely with partners to extract insights from the rich and complex data at Stripe. You'll build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You'll deliver actionable business recommendations through analyses and data storytelling. Our internship program is competitive and the expectations are high. Responsibilities Applying probability distributions, statistical inference, and hypothesis testing to quantify uncertainty and evaluate business outcomes Using Python or R for data analysis, data processing, visualizations, statistical modeling, machine learning, predictive analytics, automation, and implementing causal inference and experimental analyses Building, training, and evaluating predictive models across regression and classification tasks for bias-variance trade-offs and model selection Modeling temporal dependencies, seasonality, and trend decomposition to generate and evaluate time-series predictions Identifying structural patterns, clusters, and outliers in unlabeled data Deploying models in production and adjusting model thresholds to improve performance Designing, running, and analyzing complex experiments and leveraging causal inference designs Using SQL and Spark to create, transform, and analyze large datasets Learn quickly by asking great questions, finding how to work with your mentor and teammates effectively, and communicating the status of your work clearly Present your work to the Data Science team, partner teams, and fellow interns. Who you are Ambitious builder: You’re energized by building solutions without clear precedent and solving problems with far-reaching consequences. Successful Stripes are deeply curious, and prefer the joy of discovery to the comfort of certainty. Rigorous thinker: You appreciate that things worth doing are rarely simple. You enjoy working on problems that have never been tackled before. Adaptable problem solver: You adapt quickly and treat obstacles as opportunities. At Stripe we embrace kindness while encouraging Stripes to take measured risks and act boldly, even in the absence of consensus. Minimum requirements Enrolled in a quantitative PhD program (e.g. Data Science, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in December 2027 or spring/summer 2028 Experience with SQL and a scientific computing language (such as Python, R, etc.) Proficiency with AI tools to accelerate model development, analysis, and coding Experience communicating and collaborating with multidisciplinary stakeholders in a team environment Preferred qualifications Experience writing and debugging data pipelines Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts

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 Collecting and filing sales & indirect taxes is a classic area for technology disruption. Companies selling across countries, states, and even smaller jurisdictions have to navigate through a myriad of tax rates, product-level tax exemptions, filing requirements, and registration obligations. The rules are constantly changing, and not accurately calculating and filing tax can have legal ramifications. It’s no surprise then that solving for tax compliance is a top user ask. We launched Stripe Tax as a new SaaS product in 2021 to help solve this pain point and make tax compliance as effortless as possible. The Stripe Tax CoreXP team engineers sophisticated solutions to help our merchants grow and expand with confidence and minimal friction. The team builds solutions for monitoring tax compliance requirements, and provides solutions for registering and filing taxes. What you’ll do We’re looking for software engineers who are interested in building software services and platforms that impact millions of Stripe users. You will be working alongside a diverse set of peers spanning design, product and engineering to identify, build and maintain solutions that empower thousands of merchants to grow their business with confidence. Responsibilities Operate with limited oversight and own end-to-end the delivery of projects, including independently scoping, designing, implementing, and productionizing features Collaborate with stakeholders across the organization such as product, design, infrastructure, marketing and operations Debug production issues across services and improve the team's overall operational health Develop and execute against both short- and long-term goals Establish and uphold best practices in engineering, security, and technical design Who you are 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 2+ years of industry software engineering experience (does not include internships or co-ops) Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic) Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success Have the ability to thrive on a high level of autonomy, responsibility, and think of yourself as entrepreneurial Have the ability to communicate effectively with internal and external cross discipline stakeholders Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users Preferred qualifications Track record of working directly with customers and ability to influence product decisions Experience in integrating robustly with external systems and/or APIs Experience in both frontend and backend development

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 The Experimental Projects team quickly tests new product opportunities for Stripe. We work on brand-new, zero-to-one problems by building prototypes, talking with users, analyzing what we learn, and iterating rapidly. The team operates across a broad range of problem spaces. Rather than optimizing a single mature product area, you’ll help determine whether new ideas can solve meaningful user problems and become valuable products for Stripe. We’re looking for a Data Scientist who enjoys building, has a strong bias for action, and is comfortable moving from an ambiguous question to a practical test. Responsibilities Use data to identify, evaluate, and shape new product opportunities. Partner with engineers and product managers to build and test early product concepts. Develop analyses, models, experiments, and prototypes that help the team learn quickly. Talk with users and combine qualitative insights with quantitative evidence. Define success measures for new ideas and assess whether early results support further investment. Work across several new problem areas, adapting your approach as priorities and evidence change. Communicate findings clearly, including uncertainty, tradeoffs, and recommended next steps. Help establish analytical foundations for projects that may grow into larger product areas. What you'll do You’ll partner closely with product managers, engineers, designers, and other cross-functional partners to explore new product opportunities. You’ll use data science throughout the discovery and development process, from identifying promising problems and shaping hypotheses to building early solutions and evaluating results. Your work may include product analytics, experimentation, statistical modeling, machine learning, causal inference, and rapid prototyping. The specific methods will depend on the opportunity. Success in this role requires choosing the right level of analytical rigor for each stage, working quickly when evidence is limited, and turning what you learn into clear recommendations about what the team should build or test next. Who you are 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. Location Requirement San Francisco CA, Seattle WA or New York, NY preferred (50% in office - hybrid) Minimum requirements PhD with 3+ years, MS or MA with 6+ years, or BS or BA with 8+ years of data science or quantitative modeling experience Proficiency in SQL and a computing language such as Python or R. Ability to effectively work both independently and with cross-disciplinary teams, including engineering and finance, to deliver impactful results. A demonstrated ability to manage and deliver on multiple projects with a high attention to detail. Solid business acumen and experience in synthesizing complex analyses into actionable recommendations. A track record of building relationships with and influencing the decisions of senior technical leadership. A builder's mindset with a willingness to question assumptions and conventional wisdom. Proficiency with artificial intelligence tools to accelerate model development, analysis, and coding. Preferred qualifications Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and experimentation Experience deploying models in production and adjusting model thresholds to improve performance Experience designing, running, and analyzing complex experiments or using causal inference methods A builder’s mindset and willingness to question assumptions and conventional wisdom Experience working on ambiguous, zero-to-one problems and turning early evidence into practical decisions A strong bias for action, including the ability to identify the fastest credible way to test a hypothesis Comfort moving across different problem spaces and learning unfamiliar domains quickly Experience with distributed tools such as Spark or Hadoop A PhD or MS in a quantitative field, such as statistics, engineering, mathematics, economics, quantitative finance, science, or operations research

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 The Revenue and Financial Automation (RFA) team at Stripe is building a modern, revenue-focused, financial management platform for fast-growing, digital-native companies. Hundreds of thousands of businesses of all sizes and types use Stripe Billing to collect revenue for recurring and one-time payments across a variety of different pricing models—from selling SaaS subscriptions, to orchestrating multi-stage contracts, delivering Usage-Based Billing, and providing recovery and retention tools to prevent customer churn. What you'll do As an engineer on the team, you'll be responsible for shaping and building a suite of products that let our users model and operate their business more efficiently. You'll work on projects that span technologies, systems, and processes where you'll design, build, test, and ship code every day. In this cross-functional role, you'll collaborate with experts in infrastructure, security, design, and operations to build business-critical internal and external features that power Stripe users around the world. Responsibilities Design the next generation of Stripe products to meet the high-growth needs of our company and customers for years to come Deliver value through a strong collaborative, user-first approach with stakeholders and customers Mentor engineers to help them grow Debug and solve critical production issues across services and multiple levels of the stack Who you are 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 2+ years of experience in backend software development Ability to write high-quality code (in programming languages like Go, Java, C/C++, etc.) Hands-on experience contributing to or building large-scale distributed systems Strong collaboration skills, with the ability to work across work streams within your team and contribute to your peers' success Ability to thrive with a high level of autonomy and responsibility, with an entrepreneurial mindset Preferred qualifications Familiarity with event-driven architectures Experience with subscription management, usage-based billing, or financial reporting systems Interest in financial infrastructure and how businesses manage their revenue operations Direct leadership and mentorship experience

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 The Data Transformation team is responsible for building and operating batch and real-time transformation pipelines and platforms for 400+ product teams at Stripe. We're aiming to make data development and management workflow at Stripe a breeze with emphasis on producing high-quality datasets used for critical analytics, dashboards, and workflows at Stripe. The products owned by this team are widely adopted with 800+ weekly active users improving developer productivity for data users manifold. The team is in an interesting phase of innovation tied to the topmost priority for Stripe, building and executing the strategic roadmap for streaming transformation, incremental processing, and ergonomic data modeling. We empower our users ranging from data scientists to engineers building pipelines to create exceptional Stripe product experiences while providing a robust transformation platform for critical dashboarding, analytics, and workflows at Stripe including user-facing reporting products Sigma and Radar. We adopt a combination of open-source technologies and in-house-built software to ensure high scalability, reliability, and usability of our transformation offerings. Key example technologies include Spark, Airflow, Iceberg, Hive, S3, SQL, Python, Scala, GRPC, Kafka, and FlinkSQL. What you'll do As an Engineering Manager of the Data Transformation team, you'll lead a team of engineers, collaborate with infrastructure and product engineering orgs, and advance the Data Transformation roadmap and adoption at Stripe. You'll drive critical workstreams for the topmost priorities at Stripe around delivering high-quality, materialized datasets for Stripe products and AI agents. Responsibilities Deliver infrastructure and services that scale to our users' needs with an eye on reliability and efficiency Lead and manage a team of engineers, providing mentorship, guidance, and support to ensure their success Work with high-visibility teams and their stakeholders to support key infrastructure engineering initiatives Understand user needs and pain points to prioritize engineering work and deliver high-quality solutions that meet those needs Drive the execution of projects, overseeing the entire development lifecycle from planning to delivery, while maintaining high standards of quality and timely completion Provide hands-on technical leadership (architecture and design, vision, direction, requirements setting, and incident response processes) for your reports Work with leaders across the company to create and drive toward the longer-term vision of the Data Transformation roadmap Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team Partner with our recruiting team to attract and hire top talent and define the overall hiring strategies for your team Who you are 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 5+ years of experience managing teams that shipped and operated data pipelines and critical distributed system infrastructure Successfully recruited and built great teams Strong customer focus, committed to investing in partnerships with other Stripe engineers to establish empathy and understand their use cases Works effectively cross-functionally and is able to think rigorously, communicate effectively, and make or coordinate hard decisions and trade-offs Thrives with a high degree of autonomy and responsibility in an ambiguous environment Technical acumen to drive clarity with staff engineers about architecture and technical strategic decisions Encourage a healthy and inclusive work environment that's both challenging and supportive Preferred qualifications Managed teams that shipped products to data users and operated large-scale, high-availability data transformation pipelines, with expertise in Kafka, Flink, Spark, Airflow, Python, SQL, and API design A genuine enjoyment of learning and diving into the nuts-and-bolts of how things work, with the ability to question and direct architectural decisions Strong written and verbal communication skills for different audiences (leadership, users, company-wide)