Careers at Stripe

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 Stripe's Developer & End-user Experience Platform (DEEP) organization empowers all of Stripe's products with a shared product platform that helps with rapidly delivering high-quality, cross-product experiences across our UI and API surfaces. It focuses on providing a consistent and scalable developer experience that any developer (both internal and external) can leverage to accelerate a merchant's ability to create value using Stripe. Team matching — exact team matching for one of the subteams 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 full-stack engineers who are interested in building software services and platforms that impact thousands of employees and millions of Stripe users, regardless of whether they're an end user, developer, or partner. Responsibilities Ensure our platforms are reliable, scalable, secure, and extensible Shape future-proof interfaces that are easy to build with Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation Help drive sound technical decision-making and lead technical conversations with other teams across Stripe Debug production issues across services and various levels of the tech 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 2–12+ years of industry software engineering experience (does not include internships or co-ops) Strong coding skills in any programming language (you can learn new languages on the job, and our interview process is language agnostic) Strong collaboration skills and the ability to work across workstreams within your team and contribute to your peers' success Ability to thrive on a high level of autonomy and responsibility, with an entrepreneurial mindset Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users

Who we are About the team Link is a digital wallet designed for effortless and secure online payments and digital transactions. With Link, consumers enjoy convenience and peace of mind—it works on any device or browser, is backed by the highest security mechanisms, offers purchase protections on eligible items, and ensures seamless and quick payments. Across the Link Engineering org, we focus on building delightful payment experiences and allowing our global consumer base to pay with their preferred payment methods. Our team's work spans the entire stack from front-end experiences, to infrastructure that supports low-latency transactions, to intelligent systems that help protect consumers and merchants from bad actors. Team matching for one of the subteams 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 engineers who want to make an impact on payments at a global scale. You'll play a key role in expanding our product suite and the infrastructure that supports it. Our team collaborates with many cross-functional teams and many other teams across Stripe to deliver innovative solutions that address evolving user needs. Responsibilities Build and design the next generation of Stripe products to meet the high-growth needs of our company and customers for years to come 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 2–10+ years of industry software engineering experience (does not include internships or co-ops) Strong coding skills in any programming language Strong collaboration skills and the ability to work across workstreams within your team and contribute to your peers' success Ability to thrive with a high level of autonomy and responsibility and an entrepreneurial mindset Interest in working as a backend specialist 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 Experience with, or enthusiasm for, building with AI and agentic workflows

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 Stripe Infrastructure is responsible for the reliability, scale, performance, and cost of Stripe's systems and the productivity and sentiment of Stripe's people. You may work on a wide variety of critical business areas including: Core Infrastructure—We're the home for Stripe's critical tier0 infrastructure systems (Compute, Networking, DocumentDB, Distributed Caching and High assurance engineering). We build the foundational platform for Stripe products and services to allow them to operate at scale. We drive reliability, availability, efficiency, and scalability of these systems. Developer Infrastructure—We're responsible for the productivity of all developers at Stripe. Ensure Stripe's engineers have a reliable, fast, and easy-to-use inner dev loop to maximize productivity while building everything from low-latency microservices to large-scale data pipelines and machine learning models. Data Infrastructure—We're responsible for offering data serving infrastructure spanning across data warehouse analytics, streaming analytics, and search capabilities. The stack is supported by a collection of internally developed large-scale distributed services and several popular open-source technologies like Trino/Presto, Apache Pinot, Hive Metastore, ElasticSearch etc. The systems we own support all of the data serving needs of high-scale services and thousands of individual Stripes across the company. Admin Platform—We empower Stripes to quickly build secure and delightful internal products in service of their users. Service Platform—We enable engineering teams at Stripe to easily write and ship useful services that correctly, reliably, and efficiently leverage platform capabilities. Developer Productivity AI—We're responsible for doubling Stripe's engineering velocity through effective use of LLMs. We own Minions, Stripe's one-shot, end-to-end coding agents. Team matching—exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. Find more information on our team matching process here . What you'll do You'll work on projects that span technologies, systems, and processes where you'll design, build, test, and ship great code every day. Responsibilities Build a great customer experience for internal and external Stripe teams using our infrastructure Participate in roadmap planning and prioritization Deliver value through a strong collaborative approach with multiple customers and stakeholders across Stripe Debug production issues across services and several 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 Strong software engineering skills and a passion for one of the areas above Ability to write high-quality code (in programming languages like Go, Java, C/C++ etc.) 2–12+ years of professional hands-on software development experience, able to write well-factored algorithms and have experience with commonly used data structures and algorithms Hands-on experience contributing to or building large-scale distributed systems Strong collaboration skills, can work across workstreams within your team and contribute to your peers' success Customer obsession, ability to articulate and represent customer experience in various forums to drive the right outcome Have the ability to thrive on a high level of autonomy and responsibility, and think of yourself as entrepreneurial Preferred qualifications Experience optimizing the end-to-end performance of distributed systems Focus on the needs of our users, both internal and external Hold yourself and others to a high bar when working with production

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 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 We're looking for a Data Scientist to join the Fraud Data Science team. In this role, you'll build and improve the models that power Stripe's fraud detection and loss management systems. You'll work closely with Fraud Engineering and Risk Operations to move models from research to production, and you'll use data to surface insights that shape fraud strategy across the business. Data scientists on this team apply supervised and unsupervised machine learning, statistical modeling, causal inference, optimization, and experimentation to some of the most consequential risk problems in global payments. 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 1-3 years, MS or MA with 2-6 years, or BS or BA with 4-8 years of data science or quantitative modeling experience Experience with Fraud, Risk or Financial Crimes 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, 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 You’ll be joining the data science team at Stripe responsible for our overall infrastructure, with a focus on core systems and cloud platforms. Projects include, but are not limited to: Developing models to predict resource needs as Stripe demand increases; Working closely with engineers to improve the cost and performance of platforms and services; Employing quantitative methods to drive and automate fleet decisions. You will act as a key strategic data partner to the Core Infrastructure organization at Stripe, and help craft, guide, and drive the strategy and tactics needed to help ensure Stripe can continue to scale with efficiency and dependability as our business rapidly grows. What you'll do As a Data Scientist, your role will involve: Analyzing infrastructure usage, efficiency, and workloads to predict demand and inform capacity planning. Developing models and strategies for efficient compute resource consumption and provisioning. Collaborating with engineers, engineering leadership, and finance teams to ensure Stripe makes the right, data-driven, infrastructure decisions. Providing actionable insights and recommendations to improve infrastructure operations to reduce costs and improve reliability. Utilizing your analytical expertise to influence both technical and financial strategies within Stripe. 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 Seattle, WA or San Francisco, CA (Hybrid: 50% in office) 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. 3-8+ years of experience with a focus on infrastructure, cloud environments, and resource utilization/allocation. Proficiency in SQL and a computing language such as Python or R. Experience in analyzing logs/telemetry, scheduling optimization, or cloud infrastructure engineering. 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. Preferred qualifications Background in deploying data models in production environments and optimizing their performance. Experience in using, deploying on, and analyzing usage data from public cloud providers. Familiarity with distributed computing tools such as Spark and Hadoop. A PhD or MS in a quantitative field like Computer Science & Engineering, Statistics, Mathematics, Operations Research, Industrial Engineering, Management Science, or related disciplines. Strong business acumen with a track record of translating complex data analyses into actionable business recommendations.