Jobs at Stripe

Design and prototype user experiences for Stripe products, translating business ideas into polished, user-centered solutions. Collaborate with product managers, engineers, researchers, data scientists, and designers from concept through implementation. Participate in design critiques, conduct user research, gather feedback, refine designs, and help ship production experiences. The internship requires strong problem-solving, communication, design craft, and responsible use of AI tools.

Manage end-to-end onboarding and implementation for mid-market and enterprise Stripe customers. Develop integration architecture, change management strategies, and launch timelines; coordinate with Sales, Technical Services, Product, and Engineering; explain technical concepts; resolve complex business requirements; and improve implementation processes and team operations.

Lead FX quantitative research within Treasury Finance Data Science. Develop FX risk measurement, forecasting, hedge optimization, machine learning, and statistical systems for trading and risk. Build and productionize decision-critical systems, partnering with Treasury, Finance, FX, and Engineering. Communicate analyses to senior stakeholders, ensure model validation and operational reliability, mentor data scientists, and use AI tools to accelerate modeling and automation.

Lead enterprise product strategy and roadmap for Stripe Terminal Payments. Develop integrations for gift cards, private-label credit cards, tax refunds, third-party point-of-sale systems, loyalty, CRM, and host-to-host payment gateways. Partner with enterprise users, engineering, product, partnerships, marketing, legal, and industry teams to deliver scalable commerce capabilities, resolve trade-offs, support go-to-market activities, and improve enterprise payment experiences.

Develop and deploy large-scale machine learning systems for Stripe’s financial infrastructure. Interns will design, train, improve, and launch production ML models supporting fraud detection, user behavior prediction, customer support, foundation models, and other business applications. The role involves research, software development, cross-functional collaboration, learning unfamiliar systems, and communicating project progress.

Master’s machine learning engineering interns will design, train, improve, and deploy production-scale machine learning systems at Stripe. Projects may involve foundation models, fraud detection, user behavior prediction, support tools, and financial services. Interns will collaborate across teams, learn unfamiliar technologies, communicate progress, and contribute to end-to-end ML development. Candidates must be pursuing a relevant master’s degree, have practical programming and machine learning experience, and intend to return to their degree program after the internship.

Leads the Terminal Enterprise Features engineering team, setting its roadmap, developing scalable payment integrations, and delivering merchant-specific features such as in-person refunds and DCC. Partners with Product, Design, Legal, Go-to-Market, and other teams to advance unified commerce. The manager recruits and develops engineers, drives technical excellence and system reliability, coordinates cross-team dependencies, and influences Stripe APIs, payment methods, gift cards, and point-of-sale connectors for large enterprises.

Leads cross-Risk and cross-Stripe product initiatives, shaping technical and product direction for risk infrastructure and experiences. Identifies ambiguous, high-impact problems; partners with engineering, data science, and machine learning leaders; guides architecture, data foundations, models, APIs, and adoption. Builds alignment across teams, drives execution without formal authority, and advances AI-driven approaches to fraud, credit, financial crime, and broader risk management.

Build and scale Stripe Link digital wallet products and payment infrastructure. Responsibilities include designing new products, debugging production issues across the stack, mentoring engineers, collaborating cross-functionally, and improving engineering standards, tooling, and processes. The role requires strong software engineering skills, autonomy, collaboration, and comfort working as a generalist across technologies. Experience with large-scale financial tracking systems and cloud technologies is preferred.

Advise and coach managers on performance management, employee relations, career development, organizational change, and team culture. Serve as an HR policy expert, partner with legal counsel on compliance matters, support talent and workforce programs, guide reorganizations, analyze people data, and improve employee lifecycle experiences across the United States and Canada.

As an Engineering Manager at Stripe, you will lead teams in launching and scaling Unified Commerce experiences and managing POS integrations to support enterprise-level features. Responsibilities include driving the team roadmap, supporting technical excellence, and recruiting engineers while collaborating across Stripe.

Own and grow strategic payment partnerships with wallets, BNPL providers, and related partners. Manage partner relationships, commercial negotiations, joint initiatives, product launches, and cross-functional execution with Risk, Legal, Product, and Engineering. Drive alignment, establish milestones and performance metrics, develop executive relationships, identify growth opportunities, and improve payment-method adoption and user experiences.

Build and maintain Android applications, SDKs, frameworks, services, and operating-system components for Stripe Terminal devices. Develop payment applications across device types, collaborate with engineering, product, design, and research teams, and establish Android development best practices. The role involves creating scalable, user-focused mobile and developer experiences for in-person payments.

Lead end-to-end integration engineering for strategic Stripe customers, from architecture through implementation and debugging. Collaborate with sales, solution architecture, and implementation teams; serve as the primary technical contact for enterprise users and partners; explain Stripe products and APIs; educate developers; provide technical thought leadership; and recommend improvements to product and engineering teams.

Build and maintain APIs, backend services, and large-scale systems handling billions of money movement requests. Diagnose production issues, develop financial infrastructure, mentor engineers, collaborate across teams, and improve engineering standards, tooling, and processes. The role requires strong software engineering, autonomous problem-solving, cross-functional collaboration, and comfort working across varied technologies and stacks.

Analyze data and experiments, build metrics, dashboards, reports, pipelines, and data assets, and deliver actionable recommendations. The intern will assess product and business impacts through analytics and A/B testing, collaborate with multidisciplinary teams, communicate findings, and present work to stakeholders while learning from mentors.

Conduct statistical analysis, machine learning, predictive modeling, causal inference, experimentation, and time-series forecasting. Build scalable data pipelines, dashboards, reports, and production models using Python or R, SQL, and Spark. Analyze complex datasets, identify patterns and anomalies, optimize model performance, generate actionable recommendations, and present findings to data science and partner teams. The intern will collaborate with multidisciplinary stakeholders and work on fraud, losses, and financial crime problems.

Develop machine learning and statistical models, analyze data, run experiments, and apply causal inference and optimization to improve Stripe’s products, risk, finance, growth, and go-to-market decisions. Partner with cross-functional teams, translate complex analyses into actionable recommendations, manage multiple projects, and help deploy and optimize production models.

Build and deploy software solutions at Stripe, collaborate on multi-person coding projects, learn unfamiliar systems, communicate technical work clearly, and use AI tools responsibly to accelerate development. Engineers may specialize in frontend, backend, infrastructure, or other technologies while contributing to production systems, code reviews, large codebases, and independently managed projects.

Lead and grow Stripe’s Paid Support team serving large strategic users. Manage technical account managers and managers, set team strategy and goals, hire and retain talent, coach performance, improve service quality through data, support revenue growth, and partner with sales, product, engineering, and support leadership. Champion user needs and help scale the organization through recruiting, training, policy development, process design, and strategic operational initiatives.