Stripe's Treasury Finance team is seeking an AI and Quantitative Analytics professional to build intelligent solutions and autonomous agents that enhance treasury capabilities. The role involves applying finance domain expertise to identify AI opportunities, developing AI-powered tools and models, and deploying autonomous AI agents using frameworks like LangChain and LangGraph to automate complex workflows and provide actionable insights.

Stripe's ML Infra team is seeking a Software Engineer to build and scale the ML lifecycle services, including training, serving, and LLM applications, to accelerate AI/ML adoption across the company. The role focuses on designing and implementing robust, high-availability infrastructure for production ML platforms.

Stripe is seeking a Senior Machine Learning Engineer to own the end-to-end ML and agent architecture for the Stripe Assistant. This role involves developing an intelligent assistant that leverages LLMs and agentic systems to answer queries, resolve issues, provide business insights, and anticipate user needs. Responsibilities include setting strategy for high-trust actions, delivering accurate answers, orchestrating tools and agents, grounding responses in data, driving conversation continuity, establishing evaluation and SLOs, and improving quality, latency, cost, and availability. The role also involves mentoring engineers and upholding high standards for code quality, security, and operational rigor.

Stripe is seeking a Machine Learning Engineer for their Supportability Evaluation team. This role focuses on designing, building, training, evaluating, and deploying AI/ML models and large-scale systems for detection and decisioning within Stripe's financial ecosystem. The engineer will work on scaling an LLM-based system, integrating new capabilities through agentic approaches or supervised learning, and ensuring merchant compliance in real-time.

Stripe is seeking PhD Machine Learning Engineering Interns to develop and deploy large-scale ML systems for financial infrastructure. Interns will work on end-to-end ML model development, including training and production deployment, focusing on areas like foundation models for fraud detection and user behavior prediction, and projects like the Stripe Assistant and Stripe Foundation Model.

Machine Learning Engineer focused on developing and deploying deep learning models and foundation models for Stripe's payment products, impacting core business metrics. The role involves the entire ML lifecycle, from research to production, with an emphasis on reusable architectures and scalable workflows. Requires significant industry experience in end-to-end ML development and production deployment.

Staff Engineer role focused on the technical strategy and architecture of Stripe's Identity platform, including core systems like the Identity Store, headless verification, and fraud detection infrastructure. The role involves leading 0-1 platform development for new systems, driving cross-functional alignment with ML and product teams, and setting engineering standards. Emphasis on delivering pragmatic solutions for identity verification, fraud prevention, and adversarial AI defense, with a focus on reliability, scalability, and security.

Stripe is building a new team to deploy LLM agents and tools to automate engineering workflows and accelerate engineering productivity. This role will build the next generation of internal AI coding tools and platforms.

Stripe is seeking a Design Program Manager to accelerate the integration of AI into their Design organization. This role involves partnering with designers, researchers, and engineers to build and deliver AI-assisted tooling, agents, and automations that improve designer productivity, creativity, and consistency. The goal is to fundamentally transform design workflows and enable designers to leverage AI as a default operating mode, including preparing them for agentic futures and multi-agent workflows.

Backend Engineer focused on AI Security at Stripe, responsible for building security primitives and a tooling layer within the AI inference path to protect against threats like prompt injection and jailbreaks. The role involves collaborating with AI infrastructure and product teams, and designing systems to secure AI applications.

Stripe is building a team of Forward Deployed AI Accelerators (FDAs) embedded directly with marketing cohorts to make AI the default mode for all work. The FDA team exists to take what's working and systematically scale it across the entire marketing organization. Responsibilities include identifying high-leverage workflow transformations, building custom tools, agents, automations, and skills, coaching marketers through AI integration, and preparing them for an agentic future. The ideal candidate is a deep AI practitioner who has built agents and tools that transformed real work processes, is an exceptional coach and communicator, understands marketing work, and is a pattern recognizer.

Stripe is seeking an Engineering Manager for their Payment Intelligence team. This role focuses on leading a team to build ML-driven products that optimize payment conversion rates, minimize costs, and manage fraud for merchants. The manager will be responsible for end-to-end product delivery, technical mentorship, team leadership, recruiting, and contributing to engineering-wide initiatives. The role requires strong technical acumen, cross-functional collaboration, and experience managing teams that have shipped high-quality products.

Stripe is seeking a Learning Architect to design and build AI-enabled learning ecosystems for employee development. This role involves transforming high-touch programs into scalable digital solutions, architecting AI-driven coaching interfaces, optimizing data infrastructure for content surfacing, and creating tools for the People Development team. The ideal candidate has a blend of pedagogical expertise, product engineering thinking, and experience leveraging AI to scale learning.

Manager for a new team focused on accelerating Stripe's engineering productivity by deploying LLM agents and tools to automate engineering workflows. The role involves leading a senior, cross-continent team, setting product direction, and delivering user experiences for internal engineers.

This role is for a Forward Deployed AI Accelerator embedded within a marketing team at Stripe. The primary responsibility is to transform how marketers work by building custom AI tools, agents, and automations, and coaching them to become self-sufficient in using AI. The goal is to make AI the default mode for all marketing tasks and scale successful transformations across the organization.

This role involves embedding AI expertise within marketing teams to transform workflows by building custom AI tools, agents, and automations. The goal is to make AI the default mode of operation for marketers, coaching them through adoption and enabling self-sufficiency, with a focus on scaling successful transformations across the organization.

Engineering Manager for the Agent Experience team at Stripe, focusing on building infrastructure to enable AI agents to transact and scale within financial systems. The role involves leading and scaling a team of engineers, defining agentic strategy, and ensuring rapid, reliable delivery of complex back-end systems and developer tools in a regulated financial environment.

Software Engineer on the Fee Insights team at Stripe, focusing on building agentic systems for fee explainability. The role involves developing backend services, frontend experiences, data pipelines, and AI agents, with a strong emphasis on accuracy, reliability, and evaluation frameworks for complex pricing scenarios.

Stripe is seeking a Specialist Solutions Architect for their Radar (Fraud/Risk) team. This role involves acting as a domain expert to advise pre-sales teams, influence product roadmaps, and educate customers on Stripe's fraud and risk management platform. The role requires deep knowledge of the fraud ecosystem, including AI-powered detection, ML model tuning, and holistic business risk, and will involve creating reusable assets and coaching others. The candidate will partner with product and sales teams, serve as a voice of the customer, and help resolve complex technical issues.

Backend Engineer role focused on building and operating the server-side systems and LLM orchestration layers for intelligent, dynamic user experiences on Stripe's website. This involves designing APIs, data pipelines, and inference infrastructure to integrate LLMs into production-grade services, managing prompt pipelines, routing, guardrails, and output validation, but is not a research or ML training role.

Stripe's Financial Enablement team is seeking a Data Analyst to perform data analysis, identify trends, build visualizations, and provide critical insights to business stakeholders. The role involves partnering with cross-functional teams (Finance, Accounting, Product, Tax, etc.), reconciling complex datasets, driving operational efficiencies, and defining product solutions. The analyst will leverage AI tools to enhance team efficiency and requires strong SQL and analytical skills, with a preference for finance/accounting or AI experience.

Stripe is seeking a PhD Data Scientist Intern to partner with teams on analytical solutions, applying machine learning and advanced analytics to large datasets for prediction and impact measurement. The role involves influencing business strategy through insights, driving data collection, and collaborating with stakeholders. Requires enrollment in a quantitative PhD program and experience with Python/R, SQL, and ML/statistics/causal inference.

Software Engineer on the Security Analytics Infrastructure team at Stripe, focusing on building and supporting key security services including SIEM, SOAR, EDR, server observability, threat intel platform, and AI infrastructure. The role involves collaborating with cyber defense teams and ensuring timely and accurate security data delivery. Emphasis on applying AI tooling and agent-based approaches within the cybersecurity domain.

Data Scientist at Stripe to apply statistical, time series forecasting and machine learning models on large datasets to predict future performance of users or products. Partner closely with Sales and Data Science teams to identify important questions and answer them with data. Design, implement and launch data science solutions using Python and R to empower data-driven decisions and products at scale. Create analyses that generate insights for business teams. Design, analyze, and interpret the results of experiments. Build ETL data transformation pipelines in SQL.

Engineering Manager for Stripe's Support Experience team, focusing on building and improving user support systems. The role involves leading a team to develop AI-enabled product experiences for various user segments, implement API endpoints, and improve support operations with data engineering. The team will leverage machine learning applications and scalable distributed systems to enhance customer support and internal tooling.

Stripe is seeking a Staff Data Analyst to join their Data Science team, focusing on strengthening the company's analytics foundation. This role involves setting technical direction for analytical data modeling, storage, governance, and serving at scale. The analyst will lead architecture reviews, own cross-cutting analytical problems, drive data quality initiatives, shape long-term technical vision for analytics infrastructure, and mentor teams to raise technical standards. The role requires deep expertise in SQL, experience with AI-assisted development tools, and a proven track record in setting technical vision for analytics platforms.

Staff Software Engineer role focused on shaping the future of Stripe's merchant-facing experiences, with a significant emphasis on integrating AI into core user workflows and defining AI-powered merchant experiences. The role involves technical strategy, leading complex projects, championing quality and performance, and innovating on UX through AI.

Stripe is building new API and integration experiences for agentic commerce, enabling AI agents to build agent-powered online commerce experiences. This role focuses on shaping and delivering products that redefine commerce for AI agents, requiring full-stack solutions, collaboration with product and design, and deep user understanding.

This role is on a Forward Deployed Engineering team that uses AI agents to solve complex enterprise user problems and turn those solutions into scalable platform capabilities. The engineer will work alongside AI agents, engage directly with users, build reusable solutions across product boundaries, and provide architectural guidance. The role focuses on applying AI to enhance engineering functions for large enterprise clients in the fintech space.

Staff Data Scientist at Stripe, a fintech company, focusing on Growth and Go-to-Market efforts. The role involves leveraging experimentation, forecasting, personalization, and algorithmic recommendations to drive business growth, delivering ROI analysis, and providing technical direction on data science initiatives. The position requires strong skills in causal inference, modeling, and collaboration.

Staff Engineer, Data Engineering Solutions at Stripe, focusing on building and operating large-scale data pipelines, data warehouses, and AI/LLM/Agent-based data solutions. The role involves leading a team, mentoring engineers, and collaborating with product teams to ensure trustworthy data and innovative tools.

Staff Engineer role at Stripe focused on leading and architecting data and AI products for the Revenue and Finance Automation suite. The role involves driving technical decisions for scalability, reliability, and performance, mentoring engineers, and innovating with ML/LLMs to provide predictive insights and advanced analytics for businesses. The primary focus is on shipping AI-enhanced financial products.

Data Scientist at Stripe to partner with Product, Finance, Payments, Security, Risk, Growth and Go-to-Market teams. Will optimize systems and leverage data using machine learning, statistical modeling, causal inference, optimization, and experimentation to make strategic business decisions and drive impact. Focus on building models and running experiments.

Full Stack Engineer on the Partner Products Team at Stripe, responsible for building and scaling tools and solutions for third-party integrations and partner program tooling. The role involves developing services for seamless integration of Stripe's products with global systems, identifying design patterns for faster time-to-market, and taking technical ownership of projects.

Stripe is seeking an Engineering Manager for their LATAM Payments Experiences team. This role will focus on building and maintaining new payment methods for Stripe, with a focus on LATAM and North America. The manager will lead a team of engineers, design and build full-stack solutions, and collaborate with cross-functional teams. The ideal candidate has extensive experience in engineering management, backend development, and shipping products at scale.

Stripe is a financial infrastructure platform for businesses. This role focuses on building and maintaining APIs, services, and large-scale systems for money movement, designing next-generation products, and mentoring engineers. It requires experience with various programming languages, databases, and event processing technologies.

Stripe is seeking a Global Indirect Tax Compliance professional to oversee and manage global indirect tax (VAT/GST) compliance, registrations, audits, and collaborate with internal teams and external advisors. This role involves building and implementing compliance processes, controls, and training, and working with product and engineering teams to define compliance requirements.

International Accounting role at Stripe, focusing on financial close, statutory audits, technical accounting, and cross-functional collaboration. Requires 8+ years of experience, strong US GAAP/IFRS knowledge, and experience with accounting systems and AI automation. The role involves driving process efficiency through automation and AI implementation, and ensuring regulatory compliance within the fintech industry.

Stripe's Professional Services team seeks an Integration Engineer to provide technical expertise to strategic enterprise clients, focusing on accelerating their knowledge, solution design, and integrations with Stripe's financial infrastructure. Responsibilities include end-to-end integration planning and execution, technical concept communication, resolving integration issues, collaborating with internal teams, providing deep technical support, debugging, optimizing existing integrations, and building tools/analytics. Requires 4+ years of software/integration engineering experience, coding proficiency (Go, Java, C/C++), debugging skills, SQL proficiency, understanding of data structures/algorithms, and knowledge of the payments domain and API security.

Software Engineer at Stripe focused on building scalable computer systems for financial risk mitigation, including designing and implementing rules systems, processing signals, and developing APIs. The role involves the full software development lifecycle, debugging, and improving engineering standards.

Frontend Engineer role at Stripe, focusing on user acquisition journeys and interactive tools for global users. The role involves collaborating across design and engineering, building end-user experiences, utilizing design systems, and integrating the web platform. Requires 2+ years of frontend experience and a passion for growth hacking.

Stripe is seeking a Cloud Security Engineer to design, build, and operate core security infrastructure for their engineering teams. This role involves creating secure cloud platforms, implementing controls, and ensuring the privacy of user data. The engineer will collaborate with various teams, develop durable security solutions, and evaluate new security tools and practices. A key area of focus includes expanding cloud identity infrastructure to support AI and agentic access.

Engineering Manager for Stripe's Cost Optimization team, focusing on bank debits, transfers, and paper checks. The role involves leading a team of software engineers, managing diverse systems, upholding engineering standards, and recruiting talent. Requires 5+ years of management experience and technical proficiency.

Engineering Manager for Stripe's Managed Payments team, focusing on building and scaling a new horizontal layer across Stripe's platform. The role involves leading a team to enhance features like self-serve growth, local acquiring, advanced billing, flexible checkout, and global funds management, while ensuring high execution, prioritization, and cross-organizational alignment. Success requires strong engineering leadership, product judgment, and operational expertise in a regulated financial environment.

Stripe's Professional Services team seeks an Integration Engineer to provide technical expertise to strategic enterprise clients, accelerating their knowledge, solution design, and integrations with Stripe's financial infrastructure platform. This role involves leading strategic conversations, developing integration plans, and acting as the primary technical point of contact for large users and partners.

Stripe is seeking an Operations Associate for their Bridge - Financial Crimes (AML Investigations) team in Mexico. The role involves conducting end-to-end AML investigations, specializing in cryptocurrency and stablecoin transactions. Responsibilities include using blockchain analytics tools, performing OSINT research, drafting SARs/STRs, and reviewing high-risk transaction monitoring alerts. The ideal candidate has 2+ years of experience in financial crimes, specifically in crypto/blockchain financial crime, and experience with blockchain analytics tools.

This role focuses on building data pipelines, analytics products, dashboards, and tools for the Global Payments Performance team at Stripe. The goal is to enable Go-To-Market teams to deliver expert-level payment optimization sessions to customers by scaling the team's subject matter expertise.

Engineering Manager for Core Performance team at Stripe, responsible for driving improvements in efficiency and latency across Stripe's financial infrastructure. This role involves leading and growing an engineering team, partnering with other teams to implement infrastructure solutions, defining team vision and goals, and collaborating on technical strategy and architecture for complex infrastructure systems.