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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)

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 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 work is broad and varied, influencing how our products work (e.g., understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background. What you'll do We're looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Security, Risk, Growth, and Go-to-Market teams. You'll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As Data Scientists at Stripe, it's our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics. 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 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 Experience in working with cross-functional teams to deliver results Ability to communicate results clearly and a focus on driving impact A demonstrated ability to manage and deliver on multiple projects with a high attention to detail Strong business acumen and experience in synthesizing complex analyses into actionable recommendations Proficiency with AI 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 leveraging causal inference designs A builder's mindset with a willingness to question assumptions and conventional wisdom Experience with distributed tools such as Spark, Hadoop, etc. A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, 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 Security Business Enablement (SBE) is Stripe's commercial security function: the interface between Stripe's internal security program and its Go-to-Market organization. We make sure security and compliance requirements never block, delay, or devalue Stripe's deals. This work is about customer trust: businesses entrust Stripe with critical financial infrastructure, and their security teams need confidence that Stripe meets rigorous standards before, during, and after the sale. We make that trust tangible with accurate, consistent evidence of Stripe's security posture. We own security due diligence end to end: questionnaire response, compliance evidence, live security reviews, gap and exception management, contractual security exhibits, rapid response during industry-wide events, and executive briefings. We engage customers directly, up to CISO level, and equip sales teams to handle security conversations on their own. Our scope is unusually broad: one assessment can span security, privacy, business continuity, and resilience, translating deep control detail into language procurement, legal, and a CISO can each act on. We are often the first team asked to represent emerging parts of Stripe's posture. We work at the intersection of security, AI, and Go-to-Market. Our platform is built on authoritative grounding: answers are retrieved from a knowledge base we maintain and validate, not generated from first principles, so they are consistent and source-traceable. Our POC proved the concept and outgrew what agent builders alone can do; taking it to production quality is the engineering problem this role exists to solve. What you’ll do Responsibilities Design, build, and scale an AI-powered platform that delivers validated answers to security questions on demand, for both the sales teams who ask them and the customers who need them, replacing inconsistent ad-hoc responses with consistent, source-traceable ones Build the retrieval, content pipeline orchestration, and integration layers that off-the-shelf tooling cannot deliver, including support for multiple cloud environments and Stripe's full and growing product portfolio, so that answers stay accurate as Stripe's infrastructure and products evolve Build automations that keep security content current as Stripe rapidly adopts new technologies and introduces new controls, including automated refresh and review cycles that route content to subject-matter experts and Legal for validation Build the capability to manage industry-standard certifications and assessment frameworks, including the Shared Assessments SIG and the Cloud Security Alliance CAIQ Build analytics and evaluation capabilities that measure and continuously improve the performance and coverage of the security content library Extend the same platform and knowledge base to power a public and authenticated Trust Center, giving customers direct self-service access to Stripe's security, privacy, resilience, and compliance posture Partner with security analysts and with Security, Privacy, Legal, and Compliance stakeholders to expand coverage across Stripe's full security surface area, and own the reliability and operational health of what you build 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 software engineering experience building production systems Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic) Comfort working with retrieval-augmented architectures, content pipelines, and AI/LLM integrations, or demonstrated ability to learn quickly in these areas Experience building workflow automation, including scheduled jobs, approval routing, and multi-stakeholder review processes Comfortable instrumenting systems and working with data to measure quality, coverage, and performance, then using those measurements to drive improvement Experience creating projects from scratch, taking ownership, and driving work to completion with minimal supervision Strong communication skills and the ability to collaborate effectively with non-engineering stakeholders (security analysts, sales teams, legal) Seek out opportunities for impact and can execute in a complex, cross-functional environment Preferred qualifications Experience building AI-driven products or workflows, particularly retrieval-augmented generation (RAG) systems or knowledge management platforms Experience building evaluation frameworks for AI systems, such as measuring retrieval quality, answer accuracy, or coverage gaps Familiarity with cloud security concepts across AWS and/or Azure Previous experience with security software engineering, compliance tooling, or GRC platforms Familiarity with security assessment frameworks and standards such as the Shared Assessments SIG, Cloud Security Alliance CAIQ, SOC 2, PCI DSS, or ISO 27001 Experience with content management systems, structured content modeling, or documentation-as-code approaches Experience building customer-facing or internal self-service tools at scale Comfort working in a small team where individual contributions have outsized, visible impact

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 Stripe Terminal helps Stripe users extend their online presence into the physical world. The Terminal team’s mission is to make it as easy for businesses to accept in-person payments as the Stripe API has done for online payments. With Terminal, businesses can unlock in-person payments use cases that are right for their business model—whether it’s creating a flagship retail experience, extending their website to a pop-up store, or enabling a mobile point-of-sale at their next event. We are looking for: You will be responsible for all aspects of software development, which includes building, writing automated tests, and deploying software on our embedded payments platforms. This team works closely with partner teams throughout the hardware and software product lifecycle, from hardware manufacturing to Android application teams. What you’ll do Design, develop and maintain user interfaces and underlying functionality for embedded point-of-sale software that handle secure payment processing across several products simultaneously. Implement industry standard protocols to match product capabilities. Create, maintain, and execute application unit tests as part of Continuous Integration. Analyze bug reports and manage the defect resolution process (disposition issues, resolve issues, and report issue status). Work closely with QA staff to ensure appropriate test cases are created, maintained, and executed. Collaborate on system-side code, communication protocol design, and kernel development. Interact with global teams with excellent communication skills to provide support information. Routinely perform code reviews to ensure high quality designs and implementation. Assist in ensuring quality and timeliness of product and feature development. Proactively solve problems and work independently and within a team environment, with limited guidance. Work closely with your hardware counterparts on product design and have the ability to read schematics, provide feedback on I/O mapping, developing manufacturing test software to ensure the devices are built to specification. 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 software development experience. 2+ years working with embedded, mobile, or other connected devices. Proficiency in embedded programming language C. Experience using automated testing, build systems, or device firmware communication. Experience with embedded systems, knowledge of operating systems, familiarity with software development tools, understanding of hardware-software interfaces. Experience architecting and developing multithreaded applications, preferably in embedded systems. Experience with common communications protocols (e.g., SPI, UART, I2C, USB, and others), debugging practices (e.g., JTAG and associated GDB integrations), and basic electrical design principles. Experience adding, monitoring and parsing telemetry data to proactively resolve issues. Degree in CS, EE, or equivalent practical experience. Fluent in spoken and written English. Preferred qualifications Proficiency in C++ or Golang is highly advantageous. Experience developing on ARM platforms. Experience with point-of-sale hardware and peripherals. Knowledge of EMV standards and payment protocols. Knowledge of PCI standards, transaction processing, and related retail payment technologies. Knowledge of low-level security architectures, including TrustZone, anti-tamper mechanisms, Secure Boot, and Hardware Root of Trust. Knowledge of foundational cryptography, including symmetric/asymmetric algorithms and secure key exchange protocols.

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 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 work is broad and varied, influencing how our products work (e.g., understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background. What you'll do We're looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Security, Risk, Growth, and Go-to-Market teams. You'll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As Data Scientists at Stripe, it's our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics. 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 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 Experience in working with cross-functional teams to deliver results Ability to communicate results clearly and a focus on driving impact A demonstrated ability to manage and deliver on multiple projects with a high attention to detail Strong business acumen and experience in synthesizing complex analyses into actionable recommendations Proficiency with AI 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 leveraging causal inference designs A builder's mindset with a willingness to question assumptions and conventional wisdom Experience with distributed tools such as Spark, Hadoop, etc. A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, 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 Organization Money as a Service (MaaS) oversees a diverse portfolio of Stripe's core platforms and services. Our Stripe Treasury suite helps users manage and move their funds with ease, providing the robust financial infrastructure and tools they need to power their businesses on a global scale. Team Matching: exact team matching for one of the subteams within this org will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here . What you’ll do We’re looking for Backend Engineers who want to make an impact on managing money at a global scale with a passion for building ergonomic APIs. You’ll play a key role in extending our foundational Money Management APIs and services powering our Treasury products globally. Our team collaborates with many cross-functional teams – from Infrastructure to Product Manager – at Stripe to deliver innovative solutions that address evolving user needs. Responsibilities Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests Debug and solve critical production issues across services and multiple levels of the stack Mentor engineers to help them grow Collaborate with stakeholders across the company to build new features at large-scale, while improving internal engineering standards, tooling, and processes Collaborate effectively in a distributed and hybrid team, maintaining open communication and strong connections with colleagues 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 2-12+ years of industry software engineering experience (does not include internships nor includes 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 Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users Preferred Qualifications Experience with large-scale financial tracking systems Good understanding and practical knowledge in cloud based services (e.g. gRPC, GraphQL, Docker/Kubernetes, cloud services such as AWS, etc.)